example_with_lookahead.html 86 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730731732733734735736737738739740741742743744745746747748749750751752753754755756757758759760761762763764765766767768769770771772773774775776777778779780781782783784785786787788789790791792793794795796797798799800801802803804805806807808809810811812813814815816817818819820821822823824825826827828829830831832833834835836837838839840841842843844845846847848849850851852853854855856857858859860861862863864865866867868869870871872873874875876877878879880881882883884885886887888889890891892893894895896897898899900901902903904905906907908909910911912913914915916917918919920921922923924925926927928929930931932933934935936937938939940941942943944945946947948949950951952953954955956957958959960961962963964965966967968969970971972973974975976977978979980981982983984985986987988989990991992993994995996997998999100010011002100310041005100610071008100910101011101210131014101510161017101810191020102110221023102410251026102710281029103010311032103310341035103610371038103910401041104210431044104510461047104810491050105110521053105410551056105710581059106010611062106310641065106610671068106910701071107210731074107510761077107810791080108110821083108410851086108710881089109010911092109310941095109610971098109911001101110211031104110511061107110811091110111111121113111411151116111711181119112011211122112311241125112611271128112911301131113211331134113511361137113811391140114111421143114411451146114711481149115011511152115311541155115611571158115911601161116211631164116511661167116811691170117111721173117411751176117711781179118011811182118311841185118611871188118911901191119211931194119511961197119811991200120112021203120412051206120712081209121012111212121312141215121612171218121912201221122212231224122512261227122812291230123112321233123412351236123712381239124012411242124312441245124612471248124912501251125212531254125512561257125812591260126112621263126412651266126712681269127012711272127312741275127612771278127912801281128212831284128512861287128812891290129112921293129412951296129712981299130013011302130313041305130613071308130913101311131213131314131513161317131813191320132113221323132413251326132713281329133013311332133313341335133613371338133913401341134213431344134513461347134813491350135113521353135413551356135713581359136013611362136313641365136613671368136913701371137213731374137513761377137813791380138113821383138413851386138713881389139013911392139313941395139613971398139914001401140214031404140514061407140814091410141114121413141414151416141714181419142014211422142314241425142614271428142914301431143214331434143514361437143814391440144114421443144414451446144714481449145014511452145314541455145614571458145914601461146214631464146514661467146814691470147114721473147414751476147714781479148014811482148314841485148614871488148914901491149214931494149514961497149814991500150115021503150415051506150715081509151015111512151315141515151615171518151915201521152215231524152515261527152815291530153115321533153415351536153715381539154015411542154315441545154615471548154915501551155215531554155515561557155815591560156115621563156415651566156715681569157015711572157315741575157615771578157915801581158215831584158515861587158815891590159115921593159415951596159715981599160016011602160316041605160616071608160916101611161216131614161516161617161816191620162116221623162416251626162716281629163016311632163316341635163616371638163916401641164216431644164516461647164816491650165116521653165416551656165716581659166016611662166316641665166616671668166916701671167216731674167516761677167816791680168116821683168416851686168716881689169016911692169316941695169616971698169917001701170217031704170517061707170817091710171117121713171417151716171717181719172017211722172317241725172617271728172917301731173217331734173517361737173817391740174117421743174417451746174717481749175017511752175317541755175617571758175917601761176217631764176517661767176817691770177117721773177417751776177717781779178017811782178317841785178617871788178917901791179217931794179517961797179817991800180118021803180418051806180718081809181018111812181318141815181618171818181918201821182218231824182518261827182818291830183118321833183418351836183718381839184018411842184318441845184618471848184918501851185218531854185518561857185818591860186118621863186418651866186718681869187018711872187318741875187618771878187918801881188218831884188518861887188818891890189118921893189418951896189718981899190019011902190319041905190619071908190919101911191219131914191519161917191819191920192119221923192419251926192719281929193019311932193319341935193619371938193919401941194219431944194519461947194819491950195119521953195419551956195719581959196019611962196319641965196619671968196919701971197219731974197519761977197819791980198119821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202320242025202620272028202920302031203220332034203520362037203820392040204120422043204420452046204720482049205020512052205320542055205620572058205920602061206220632064206520662067206820692070207120722073207420752076207720782079208020812082208320842085208620872088208920902091209220932094209520962097209820992100210121022103210421052106210721082109211021112112211321142115211621172118211921202121212221232124212521262127212821292130213121322133213421352136213721382139214021412142214321442145214621472148214921502151215221532154215521562157215821592160216121622163216421652166216721682169217021712172217321742175217621772178217921802181218221832184218521862187218821892190219121922193219421952196219721982199220022012202220322042205220622072208220922102211221222132214221522162217221822192220222122222223222422252226222722282229223022312232223322342235223622372238223922402241224222432244224522462247224822492250225122522253225422552256225722582259226022612262
  1. <!DOCTYPE html>
  2. <html>
  3. <head>
  4. <meta charset="utf-8">
  5. </head>
  6. <body>
  7. <script type="text/javascript" src="bundle.js" charset="utf-8"></script>
  8. <div id="59f759df-07f7-4a80-bd65-1ecdbb9e52bf"
  9. style="width: 100%; min-width: 200px; height: 300px;">
  10. </div>
  11. <script type='text/javascript'>
  12. visualizeToDiv({
  13. "component_trace": [
  14. {
  15. "step_trace": [
  16. {
  17. "step_finished": true,
  18. "fixed_feature_trace": [
  19. {
  20. "value_trace": [
  21. {
  22. "feature_name": "",
  23. "value_name": [
  24. "input.word=fair"
  25. ]
  26. }
  27. ],
  28. "name": "words"
  29. }
  30. ],
  31. "linked_feature_trace": [
  32. {
  33. "source_component": "tagger",
  34. "name": "rnn",
  35. "source_layer": "layer_0",
  36. "source_translator": "history"
  37. }
  38. ],
  39. "caption": "SHIFT(.)",
  40. "html_representation": "Stack: | Input: fair "
  41. },
  42. {
  43. "step_finished": true,
  44. "fixed_feature_trace": [
  45. {
  46. "value_trace": [
  47. {
  48. "feature_name": "",
  49. "value_name": [
  50. "input.word=enough"
  51. ]
  52. }
  53. ],
  54. "name": "words"
  55. }
  56. ],
  57. "linked_feature_trace": [
  58. {
  59. "source_component": "tagger",
  60. "value_trace": [
  61. {
  62. "feature_value": "0",
  63. "beam_idx": "0",
  64. "feature_name": "constant",
  65. "step_idx": "0",
  66. "batch_idx": "0"
  67. }
  68. ],
  69. "name": "rnn",
  70. "source_layer": "layer_0",
  71. "source_translator": "history"
  72. }
  73. ],
  74. "caption": "SHIFT(.)",
  75. "html_representation": "Stack: fair | Input: enough "
  76. },
  77. {
  78. "step_finished": true,
  79. "fixed_feature_trace": [
  80. {
  81. "value_trace": [
  82. {
  83. "feature_name": "",
  84. "value_name": [
  85. "input.word=;"
  86. ]
  87. }
  88. ],
  89. "name": "words"
  90. }
  91. ],
  92. "linked_feature_trace": [
  93. {
  94. "source_component": "tagger",
  95. "value_trace": [
  96. {
  97. "feature_value": "0",
  98. "beam_idx": "0",
  99. "feature_name": "constant",
  100. "step_idx": "1",
  101. "batch_idx": "0"
  102. }
  103. ],
  104. "name": "rnn",
  105. "source_layer": "layer_0",
  106. "source_translator": "history"
  107. }
  108. ],
  109. "caption": "SHIFT(.)",
  110. "html_representation": "Stack: fair enough | Input: ; "
  111. },
  112. {
  113. "step_finished": true,
  114. "fixed_feature_trace": [
  115. {
  116. "value_trace": [
  117. {
  118. "feature_name": "",
  119. "value_name": [
  120. "input.word=you"
  121. ]
  122. }
  123. ],
  124. "name": "words"
  125. }
  126. ],
  127. "linked_feature_trace": [
  128. {
  129. "source_component": "tagger",
  130. "value_trace": [
  131. {
  132. "feature_value": "0",
  133. "beam_idx": "0",
  134. "feature_name": "constant",
  135. "step_idx": "2",
  136. "batch_idx": "0"
  137. }
  138. ],
  139. "name": "rnn",
  140. "source_layer": "layer_0",
  141. "source_translator": "history"
  142. }
  143. ],
  144. "caption": "SHIFT(.)",
  145. "html_representation": "Stack: fair enough ; | Input: you "
  146. },
  147. {
  148. "step_finished": true,
  149. "fixed_feature_trace": [
  150. {
  151. "value_trace": [
  152. {
  153. "feature_name": "",
  154. "value_name": [
  155. "input.word=people"
  156. ]
  157. }
  158. ],
  159. "name": "words"
  160. }
  161. ],
  162. "linked_feature_trace": [
  163. {
  164. "source_component": "tagger",
  165. "value_trace": [
  166. {
  167. "feature_value": "0",
  168. "beam_idx": "0",
  169. "feature_name": "constant",
  170. "step_idx": "3",
  171. "batch_idx": "0"
  172. }
  173. ],
  174. "name": "rnn",
  175. "source_layer": "layer_0",
  176. "source_translator": "history"
  177. }
  178. ],
  179. "caption": "SHIFT(.)",
  180. "html_representation": "Stack: fair enough ; you | Input: people "
  181. },
  182. {
  183. "step_finished": true,
  184. "fixed_feature_trace": [
  185. {
  186. "value_trace": [
  187. {
  188. "feature_name": "",
  189. "value_name": [
  190. "input.word=have"
  191. ]
  192. }
  193. ],
  194. "name": "words"
  195. }
  196. ],
  197. "linked_feature_trace": [
  198. {
  199. "source_component": "tagger",
  200. "value_trace": [
  201. {
  202. "feature_value": "0",
  203. "beam_idx": "0",
  204. "feature_name": "constant",
  205. "step_idx": "4",
  206. "batch_idx": "0"
  207. }
  208. ],
  209. "name": "rnn",
  210. "source_layer": "layer_0",
  211. "source_translator": "history"
  212. }
  213. ],
  214. "caption": "SHIFT(.)",
  215. "html_representation": "Stack: fair enough ; you people | Input: have "
  216. },
  217. {
  218. "step_finished": true,
  219. "fixed_feature_trace": [
  220. {
  221. "value_trace": [
  222. {
  223. "feature_name": "",
  224. "value_name": [
  225. "input.word=eaten"
  226. ]
  227. }
  228. ],
  229. "name": "words"
  230. }
  231. ],
  232. "linked_feature_trace": [
  233. {
  234. "source_component": "tagger",
  235. "value_trace": [
  236. {
  237. "feature_value": "0",
  238. "beam_idx": "0",
  239. "feature_name": "constant",
  240. "step_idx": "5",
  241. "batch_idx": "0"
  242. }
  243. ],
  244. "name": "rnn",
  245. "source_layer": "layer_0",
  246. "source_translator": "history"
  247. }
  248. ],
  249. "caption": "SHIFT(.)",
  250. "html_representation": "Stack: fair enough ; you people have | Input: eaten "
  251. },
  252. {
  253. "step_finished": true,
  254. "fixed_feature_trace": [
  255. {
  256. "value_trace": [
  257. {
  258. "feature_name": "",
  259. "value_name": [
  260. "input.word=me"
  261. ]
  262. }
  263. ],
  264. "name": "words"
  265. }
  266. ],
  267. "linked_feature_trace": [
  268. {
  269. "source_component": "tagger",
  270. "value_trace": [
  271. {
  272. "feature_value": "0",
  273. "beam_idx": "0",
  274. "feature_name": "constant",
  275. "step_idx": "6",
  276. "batch_idx": "0"
  277. }
  278. ],
  279. "name": "rnn",
  280. "source_layer": "layer_0",
  281. "source_translator": "history"
  282. }
  283. ],
  284. "caption": "SHIFT(.)",
  285. "html_representation": "Stack: fair enough ; you people have eaten | Input: me "
  286. },
  287. {
  288. "step_finished": true,
  289. "fixed_feature_trace": [
  290. {
  291. "value_trace": [
  292. {
  293. "feature_name": "",
  294. "value_name": [
  295. "input.word=."
  296. ]
  297. }
  298. ],
  299. "name": "words"
  300. }
  301. ],
  302. "linked_feature_trace": [
  303. {
  304. "source_component": "tagger",
  305. "value_trace": [
  306. {
  307. "feature_value": "0",
  308. "beam_idx": "0",
  309. "feature_name": "constant",
  310. "step_idx": "7",
  311. "batch_idx": "0"
  312. }
  313. ],
  314. "name": "rnn",
  315. "source_layer": "layer_0",
  316. "source_translator": "history"
  317. }
  318. ],
  319. "caption": "SHIFT(.)",
  320. "html_representation": "Stack: fair enough ; you people have eaten me | Input: . "
  321. },
  322. {
  323. "fixed_feature_trace": [
  324. {
  325. "name": "words"
  326. }
  327. ],
  328. "linked_feature_trace": [
  329. {
  330. "source_component": "tagger",
  331. "name": "rnn",
  332. "source_layer": "layer_0",
  333. "source_translator": "history"
  334. }
  335. ],
  336. "html_representation": "Stack: fair enough ; you people have eaten me . | Input: "
  337. }
  338. ],
  339. "name": "tagger"
  340. },
  341. {
  342. "step_trace": [
  343. {
  344. "step_finished": true,
  345. "fixed_feature_trace": [
  346. {
  347. "value_trace": [
  348. {
  349. "feature_name": "",
  350. "value_name": [
  351. "input.word=."
  352. ]
  353. }
  354. ],
  355. "name": "words"
  356. }
  357. ],
  358. "linked_feature_trace": [
  359. {
  360. "source_component": "lookahead",
  361. "name": "rnn",
  362. "source_layer": "layer_0",
  363. "source_translator": "history"
  364. }
  365. ],
  366. "caption": ".",
  367. "html_representation": "Stack: | Input: . "
  368. },
  369. {
  370. "step_finished": true,
  371. "fixed_feature_trace": [
  372. {
  373. "value_trace": [
  374. {
  375. "feature_name": "",
  376. "value_name": [
  377. "input.word=me"
  378. ]
  379. }
  380. ],
  381. "name": "words"
  382. }
  383. ],
  384. "linked_feature_trace": [
  385. {
  386. "source_component": "lookahead",
  387. "value_trace": [
  388. {
  389. "feature_value": "0",
  390. "beam_idx": "0",
  391. "feature_name": "constant",
  392. "step_idx": "0",
  393. "batch_idx": "0"
  394. }
  395. ],
  396. "name": "rnn",
  397. "source_layer": "layer_0",
  398. "source_translator": "history"
  399. }
  400. ],
  401. "caption": "me",
  402. "html_representation": "Stack: . | Input: me "
  403. },
  404. {
  405. "step_finished": true,
  406. "fixed_feature_trace": [
  407. {
  408. "value_trace": [
  409. {
  410. "feature_name": "",
  411. "value_name": [
  412. "input.word=eaten"
  413. ]
  414. }
  415. ],
  416. "name": "words"
  417. }
  418. ],
  419. "linked_feature_trace": [
  420. {
  421. "source_component": "lookahead",
  422. "value_trace": [
  423. {
  424. "feature_value": "0",
  425. "beam_idx": "0",
  426. "feature_name": "constant",
  427. "step_idx": "1",
  428. "batch_idx": "0"
  429. }
  430. ],
  431. "name": "rnn",
  432. "source_layer": "layer_0",
  433. "source_translator": "history"
  434. }
  435. ],
  436. "caption": "eaten",
  437. "html_representation": "Stack: . me | Input: eaten "
  438. },
  439. {
  440. "step_finished": true,
  441. "fixed_feature_trace": [
  442. {
  443. "value_trace": [
  444. {
  445. "feature_name": "",
  446. "value_name": [
  447. "input.word=have"
  448. ]
  449. }
  450. ],
  451. "name": "words"
  452. }
  453. ],
  454. "linked_feature_trace": [
  455. {
  456. "source_component": "lookahead",
  457. "value_trace": [
  458. {
  459. "feature_value": "0",
  460. "beam_idx": "0",
  461. "feature_name": "constant",
  462. "step_idx": "2",
  463. "batch_idx": "0"
  464. }
  465. ],
  466. "name": "rnn",
  467. "source_layer": "layer_0",
  468. "source_translator": "history"
  469. }
  470. ],
  471. "caption": "have",
  472. "html_representation": "Stack: . me eaten | Input: have "
  473. },
  474. {
  475. "step_finished": true,
  476. "fixed_feature_trace": [
  477. {
  478. "value_trace": [
  479. {
  480. "feature_name": "",
  481. "value_name": [
  482. "input.word=people"
  483. ]
  484. }
  485. ],
  486. "name": "words"
  487. }
  488. ],
  489. "linked_feature_trace": [
  490. {
  491. "source_component": "lookahead",
  492. "value_trace": [
  493. {
  494. "feature_value": "0",
  495. "beam_idx": "0",
  496. "feature_name": "constant",
  497. "step_idx": "3",
  498. "batch_idx": "0"
  499. }
  500. ],
  501. "name": "rnn",
  502. "source_layer": "layer_0",
  503. "source_translator": "history"
  504. }
  505. ],
  506. "caption": "people",
  507. "html_representation": "Stack: . me eaten have | Input: people "
  508. },
  509. {
  510. "step_finished": true,
  511. "fixed_feature_trace": [
  512. {
  513. "value_trace": [
  514. {
  515. "feature_name": "",
  516. "value_name": [
  517. "input.word=you"
  518. ]
  519. }
  520. ],
  521. "name": "words"
  522. }
  523. ],
  524. "linked_feature_trace": [
  525. {
  526. "source_component": "lookahead",
  527. "value_trace": [
  528. {
  529. "feature_value": "0",
  530. "beam_idx": "0",
  531. "feature_name": "constant",
  532. "step_idx": "4",
  533. "batch_idx": "0"
  534. }
  535. ],
  536. "name": "rnn",
  537. "source_layer": "layer_0",
  538. "source_translator": "history"
  539. }
  540. ],
  541. "caption": "you",
  542. "html_representation": "Stack: . me eaten have people | Input: you "
  543. },
  544. {
  545. "step_finished": true,
  546. "fixed_feature_trace": [
  547. {
  548. "value_trace": [
  549. {
  550. "feature_name": "",
  551. "value_name": [
  552. "input.word=;"
  553. ]
  554. }
  555. ],
  556. "name": "words"
  557. }
  558. ],
  559. "linked_feature_trace": [
  560. {
  561. "source_component": "lookahead",
  562. "value_trace": [
  563. {
  564. "feature_value": "0",
  565. "beam_idx": "0",
  566. "feature_name": "constant",
  567. "step_idx": "5",
  568. "batch_idx": "0"
  569. }
  570. ],
  571. "name": "rnn",
  572. "source_layer": "layer_0",
  573. "source_translator": "history"
  574. }
  575. ],
  576. "caption": ";",
  577. "html_representation": "Stack: . me eaten have people you | Input: ; "
  578. },
  579. {
  580. "step_finished": true,
  581. "fixed_feature_trace": [
  582. {
  583. "value_trace": [
  584. {
  585. "feature_name": "",
  586. "value_name": [
  587. "input.word=enough"
  588. ]
  589. }
  590. ],
  591. "name": "words"
  592. }
  593. ],
  594. "linked_feature_trace": [
  595. {
  596. "source_component": "lookahead",
  597. "value_trace": [
  598. {
  599. "feature_value": "0",
  600. "beam_idx": "0",
  601. "feature_name": "constant",
  602. "step_idx": "6",
  603. "batch_idx": "0"
  604. }
  605. ],
  606. "name": "rnn",
  607. "source_layer": "layer_0",
  608. "source_translator": "history"
  609. }
  610. ],
  611. "caption": "enough",
  612. "html_representation": "Stack: . me eaten have people you ; | Input: enough "
  613. },
  614. {
  615. "step_finished": true,
  616. "fixed_feature_trace": [
  617. {
  618. "value_trace": [
  619. {
  620. "feature_name": "",
  621. "value_name": [
  622. "input.word=fair"
  623. ]
  624. }
  625. ],
  626. "name": "words"
  627. }
  628. ],
  629. "linked_feature_trace": [
  630. {
  631. "source_component": "lookahead",
  632. "value_trace": [
  633. {
  634. "feature_value": "0",
  635. "beam_idx": "0",
  636. "feature_name": "constant",
  637. "step_idx": "7",
  638. "batch_idx": "0"
  639. }
  640. ],
  641. "name": "rnn",
  642. "source_layer": "layer_0",
  643. "source_translator": "history"
  644. }
  645. ],
  646. "caption": "fair",
  647. "html_representation": "Stack: . me eaten have people you ; enough | Input: fair "
  648. },
  649. {
  650. "fixed_feature_trace": [
  651. {
  652. "name": "words"
  653. }
  654. ],
  655. "linked_feature_trace": [
  656. {
  657. "source_component": "lookahead",
  658. "name": "rnn",
  659. "source_layer": "layer_0",
  660. "source_translator": "history"
  661. }
  662. ],
  663. "html_representation": "Stack: . me eaten have people you ; enough fair | Input: "
  664. }
  665. ],
  666. "name": "lookahead"
  667. },
  668. {
  669. "step_trace": [
  670. {
  671. "step_finished": true,
  672. "linked_feature_trace": [
  673. {
  674. "source_component": "lookahead",
  675. "value_trace": [
  676. {
  677. "feature_value": "0",
  678. "beam_idx": "0",
  679. "feature_name": "input.focus",
  680. "step_idx": "8",
  681. "batch_idx": "0"
  682. }
  683. ],
  684. "name": "lookahead",
  685. "source_layer": "layer_0",
  686. "source_translator": "reverse-token"
  687. },
  688. {
  689. "source_component": "tagger",
  690. "value_trace": [
  691. {
  692. "feature_value": "0",
  693. "beam_idx": "0",
  694. "feature_name": "input.focus",
  695. "step_idx": "0",
  696. "batch_idx": "0"
  697. }
  698. ],
  699. "name": "tagger",
  700. "source_layer": "logits",
  701. "source_translator": "identity"
  702. },
  703. {
  704. "source_component": "parser",
  705. "name": "rnn-stack",
  706. "source_layer": "layer_0",
  707. "source_translator": "shift-reduce-step"
  708. }
  709. ],
  710. "caption": "SHIFT",
  711. "html_representation": "Stack: | Input: fair "
  712. },
  713. {
  714. "step_finished": true,
  715. "linked_feature_trace": [
  716. {
  717. "source_component": "lookahead",
  718. "value_trace": [
  719. {
  720. "feature_value": "1",
  721. "beam_idx": "0",
  722. "feature_name": "input.focus",
  723. "step_idx": "7",
  724. "batch_idx": "0"
  725. }
  726. ],
  727. "name": "lookahead",
  728. "source_layer": "layer_0",
  729. "source_translator": "reverse-token"
  730. },
  731. {
  732. "source_component": "tagger",
  733. "value_trace": [
  734. {
  735. "feature_value": "1",
  736. "beam_idx": "0",
  737. "feature_name": "input.focus",
  738. "step_idx": "1",
  739. "batch_idx": "0"
  740. },
  741. {
  742. "feature_value": "0",
  743. "beam_idx": "0",
  744. "feature_name": "stack.focus",
  745. "step_idx": "0",
  746. "batch_idx": "0"
  747. }
  748. ],
  749. "name": "tagger",
  750. "source_layer": "logits",
  751. "source_translator": "identity"
  752. },
  753. {
  754. "source_component": "parser",
  755. "value_trace": [
  756. {
  757. "feature_value": "0",
  758. "beam_idx": "0",
  759. "feature_name": "stack.focus",
  760. "step_idx": "0",
  761. "batch_idx": "0"
  762. }
  763. ],
  764. "name": "rnn-stack",
  765. "source_layer": "layer_0",
  766. "source_translator": "shift-reduce-step"
  767. }
  768. ],
  769. "caption": "SHIFT",
  770. "html_representation": "Stack: fair | Input: enough "
  771. },
  772. {
  773. "step_finished": true,
  774. "linked_feature_trace": [
  775. {
  776. "source_component": "lookahead",
  777. "value_trace": [
  778. {
  779. "feature_value": "2",
  780. "beam_idx": "0",
  781. "feature_name": "input.focus",
  782. "step_idx": "6",
  783. "batch_idx": "0"
  784. }
  785. ],
  786. "name": "lookahead",
  787. "source_layer": "layer_0",
  788. "source_translator": "reverse-token"
  789. },
  790. {
  791. "source_component": "tagger",
  792. "value_trace": [
  793. {
  794. "feature_value": "2",
  795. "beam_idx": "0",
  796. "feature_name": "input.focus",
  797. "step_idx": "2",
  798. "batch_idx": "0"
  799. },
  800. {
  801. "feature_value": "1",
  802. "beam_idx": "0",
  803. "feature_name": "stack.focus",
  804. "step_idx": "1",
  805. "batch_idx": "0"
  806. },
  807. {
  808. "feature_value": "0",
  809. "beam_idx": "0",
  810. "feature_name": "stack(1).focus",
  811. "step_idx": "0",
  812. "batch_idx": "0"
  813. }
  814. ],
  815. "name": "tagger",
  816. "source_layer": "logits",
  817. "source_translator": "identity"
  818. },
  819. {
  820. "source_component": "parser",
  821. "value_trace": [
  822. {
  823. "feature_value": "1",
  824. "beam_idx": "0",
  825. "feature_name": "stack.focus",
  826. "step_idx": "1",
  827. "batch_idx": "0"
  828. },
  829. {
  830. "feature_value": "0",
  831. "beam_idx": "0",
  832. "feature_name": "stack(1).focus",
  833. "step_idx": "0",
  834. "batch_idx": "0"
  835. }
  836. ],
  837. "name": "rnn-stack",
  838. "source_layer": "layer_0",
  839. "source_translator": "shift-reduce-step"
  840. }
  841. ],
  842. "caption": "RIGHT_ARC(advmod)",
  843. "html_representation": "Stack: fair enough | Input: ; "
  844. },
  845. {
  846. "step_finished": true,
  847. "linked_feature_trace": [
  848. {
  849. "source_component": "lookahead",
  850. "value_trace": [
  851. {
  852. "feature_value": "2",
  853. "beam_idx": "0",
  854. "feature_name": "input.focus",
  855. "step_idx": "6",
  856. "batch_idx": "0"
  857. }
  858. ],
  859. "name": "lookahead",
  860. "source_layer": "layer_0",
  861. "source_translator": "reverse-token"
  862. },
  863. {
  864. "source_component": "tagger",
  865. "value_trace": [
  866. {
  867. "feature_value": "2",
  868. "beam_idx": "0",
  869. "feature_name": "input.focus",
  870. "step_idx": "2",
  871. "batch_idx": "0"
  872. },
  873. {
  874. "feature_value": "0",
  875. "beam_idx": "0",
  876. "feature_name": "stack.focus",
  877. "step_idx": "0",
  878. "batch_idx": "0"
  879. }
  880. ],
  881. "name": "tagger",
  882. "source_layer": "logits",
  883. "source_translator": "identity"
  884. },
  885. {
  886. "source_component": "parser",
  887. "value_trace": [
  888. {
  889. "feature_value": "0",
  890. "beam_idx": "0",
  891. "feature_name": "stack.focus",
  892. "step_idx": "2",
  893. "batch_idx": "0"
  894. }
  895. ],
  896. "name": "rnn-stack",
  897. "source_layer": "layer_0",
  898. "source_translator": "shift-reduce-step"
  899. }
  900. ],
  901. "caption": "SHIFT",
  902. "html_representation": "Stack: fair | Input: ; "
  903. },
  904. {
  905. "step_finished": true,
  906. "linked_feature_trace": [
  907. {
  908. "source_component": "lookahead",
  909. "value_trace": [
  910. {
  911. "feature_value": "3",
  912. "beam_idx": "0",
  913. "feature_name": "input.focus",
  914. "step_idx": "5",
  915. "batch_idx": "0"
  916. }
  917. ],
  918. "name": "lookahead",
  919. "source_layer": "layer_0",
  920. "source_translator": "reverse-token"
  921. },
  922. {
  923. "source_component": "tagger",
  924. "value_trace": [
  925. {
  926. "feature_value": "3",
  927. "beam_idx": "0",
  928. "feature_name": "input.focus",
  929. "step_idx": "3",
  930. "batch_idx": "0"
  931. },
  932. {
  933. "feature_value": "2",
  934. "beam_idx": "0",
  935. "feature_name": "stack.focus",
  936. "step_idx": "2",
  937. "batch_idx": "0"
  938. },
  939. {
  940. "feature_value": "0",
  941. "beam_idx": "0",
  942. "feature_name": "stack(1).focus",
  943. "step_idx": "0",
  944. "batch_idx": "0"
  945. }
  946. ],
  947. "name": "tagger",
  948. "source_layer": "logits",
  949. "source_translator": "identity"
  950. },
  951. {
  952. "source_component": "parser",
  953. "value_trace": [
  954. {
  955. "feature_value": "2",
  956. "beam_idx": "0",
  957. "feature_name": "stack.focus",
  958. "step_idx": "3",
  959. "batch_idx": "0"
  960. },
  961. {
  962. "feature_value": "0",
  963. "beam_idx": "0",
  964. "feature_name": "stack(1).focus",
  965. "step_idx": "2",
  966. "batch_idx": "0"
  967. }
  968. ],
  969. "name": "rnn-stack",
  970. "source_layer": "layer_0",
  971. "source_translator": "shift-reduce-step"
  972. }
  973. ],
  974. "caption": "RIGHT_ARC(p)",
  975. "html_representation": "Stack: fair ; | Input: you "
  976. },
  977. {
  978. "step_finished": true,
  979. "linked_feature_trace": [
  980. {
  981. "source_component": "lookahead",
  982. "value_trace": [
  983. {
  984. "feature_value": "3",
  985. "beam_idx": "0",
  986. "feature_name": "input.focus",
  987. "step_idx": "5",
  988. "batch_idx": "0"
  989. }
  990. ],
  991. "name": "lookahead",
  992. "source_layer": "layer_0",
  993. "source_translator": "reverse-token"
  994. },
  995. {
  996. "source_component": "tagger",
  997. "value_trace": [
  998. {
  999. "feature_value": "3",
  1000. "beam_idx": "0",
  1001. "feature_name": "input.focus",
  1002. "step_idx": "3",
  1003. "batch_idx": "0"
  1004. },
  1005. {
  1006. "feature_value": "0",
  1007. "beam_idx": "0",
  1008. "feature_name": "stack.focus",
  1009. "step_idx": "0",
  1010. "batch_idx": "0"
  1011. }
  1012. ],
  1013. "name": "tagger",
  1014. "source_layer": "logits",
  1015. "source_translator": "identity"
  1016. },
  1017. {
  1018. "source_component": "parser",
  1019. "value_trace": [
  1020. {
  1021. "feature_value": "0",
  1022. "beam_idx": "0",
  1023. "feature_name": "stack.focus",
  1024. "step_idx": "4",
  1025. "batch_idx": "0"
  1026. }
  1027. ],
  1028. "name": "rnn-stack",
  1029. "source_layer": "layer_0",
  1030. "source_translator": "shift-reduce-step"
  1031. }
  1032. ],
  1033. "caption": "SHIFT",
  1034. "html_representation": "Stack: fair | Input: you "
  1035. },
  1036. {
  1037. "step_finished": true,
  1038. "linked_feature_trace": [
  1039. {
  1040. "source_component": "lookahead",
  1041. "value_trace": [
  1042. {
  1043. "feature_value": "4",
  1044. "beam_idx": "0",
  1045. "feature_name": "input.focus",
  1046. "step_idx": "4",
  1047. "batch_idx": "0"
  1048. }
  1049. ],
  1050. "name": "lookahead",
  1051. "source_layer": "layer_0",
  1052. "source_translator": "reverse-token"
  1053. },
  1054. {
  1055. "source_component": "tagger",
  1056. "value_trace": [
  1057. {
  1058. "feature_value": "4",
  1059. "beam_idx": "0",
  1060. "feature_name": "input.focus",
  1061. "step_idx": "4",
  1062. "batch_idx": "0"
  1063. },
  1064. {
  1065. "feature_value": "3",
  1066. "beam_idx": "0",
  1067. "feature_name": "stack.focus",
  1068. "step_idx": "3",
  1069. "batch_idx": "0"
  1070. },
  1071. {
  1072. "feature_value": "0",
  1073. "beam_idx": "0",
  1074. "feature_name": "stack(1).focus",
  1075. "step_idx": "0",
  1076. "batch_idx": "0"
  1077. }
  1078. ],
  1079. "name": "tagger",
  1080. "source_layer": "logits",
  1081. "source_translator": "identity"
  1082. },
  1083. {
  1084. "source_component": "parser",
  1085. "value_trace": [
  1086. {
  1087. "feature_value": "3",
  1088. "beam_idx": "0",
  1089. "feature_name": "stack.focus",
  1090. "step_idx": "5",
  1091. "batch_idx": "0"
  1092. },
  1093. {
  1094. "feature_value": "0",
  1095. "beam_idx": "0",
  1096. "feature_name": "stack(1).focus",
  1097. "step_idx": "4",
  1098. "batch_idx": "0"
  1099. }
  1100. ],
  1101. "name": "rnn-stack",
  1102. "source_layer": "layer_0",
  1103. "source_translator": "shift-reduce-step"
  1104. }
  1105. ],
  1106. "caption": "SHIFT",
  1107. "html_representation": "Stack: fair you | Input: people "
  1108. },
  1109. {
  1110. "step_finished": true,
  1111. "linked_feature_trace": [
  1112. {
  1113. "source_component": "lookahead",
  1114. "value_trace": [
  1115. {
  1116. "feature_value": "5",
  1117. "beam_idx": "0",
  1118. "feature_name": "input.focus",
  1119. "step_idx": "3",
  1120. "batch_idx": "0"
  1121. }
  1122. ],
  1123. "name": "lookahead",
  1124. "source_layer": "layer_0",
  1125. "source_translator": "reverse-token"
  1126. },
  1127. {
  1128. "source_component": "tagger",
  1129. "value_trace": [
  1130. {
  1131. "feature_value": "5",
  1132. "beam_idx": "0",
  1133. "feature_name": "input.focus",
  1134. "step_idx": "5",
  1135. "batch_idx": "0"
  1136. },
  1137. {
  1138. "feature_value": "4",
  1139. "beam_idx": "0",
  1140. "feature_name": "stack.focus",
  1141. "step_idx": "4",
  1142. "batch_idx": "0"
  1143. },
  1144. {
  1145. "feature_value": "3",
  1146. "beam_idx": "0",
  1147. "feature_name": "stack(1).focus",
  1148. "step_idx": "3",
  1149. "batch_idx": "0"
  1150. }
  1151. ],
  1152. "name": "tagger",
  1153. "source_layer": "logits",
  1154. "source_translator": "identity"
  1155. },
  1156. {
  1157. "source_component": "parser",
  1158. "value_trace": [
  1159. {
  1160. "feature_value": "4",
  1161. "beam_idx": "0",
  1162. "feature_name": "stack.focus",
  1163. "step_idx": "6",
  1164. "batch_idx": "0"
  1165. },
  1166. {
  1167. "feature_value": "3",
  1168. "beam_idx": "0",
  1169. "feature_name": "stack(1).focus",
  1170. "step_idx": "5",
  1171. "batch_idx": "0"
  1172. }
  1173. ],
  1174. "name": "rnn-stack",
  1175. "source_layer": "layer_0",
  1176. "source_translator": "shift-reduce-step"
  1177. }
  1178. ],
  1179. "caption": "LEFT_ARC(dep)",
  1180. "html_representation": "Stack: fair you people | Input: have "
  1181. },
  1182. {
  1183. "step_finished": true,
  1184. "linked_feature_trace": [
  1185. {
  1186. "source_component": "lookahead",
  1187. "value_trace": [
  1188. {
  1189. "feature_value": "5",
  1190. "beam_idx": "0",
  1191. "feature_name": "input.focus",
  1192. "step_idx": "3",
  1193. "batch_idx": "0"
  1194. }
  1195. ],
  1196. "name": "lookahead",
  1197. "source_layer": "layer_0",
  1198. "source_translator": "reverse-token"
  1199. },
  1200. {
  1201. "source_component": "tagger",
  1202. "value_trace": [
  1203. {
  1204. "feature_value": "5",
  1205. "beam_idx": "0",
  1206. "feature_name": "input.focus",
  1207. "step_idx": "5",
  1208. "batch_idx": "0"
  1209. },
  1210. {
  1211. "feature_value": "4",
  1212. "beam_idx": "0",
  1213. "feature_name": "stack.focus",
  1214. "step_idx": "4",
  1215. "batch_idx": "0"
  1216. },
  1217. {
  1218. "feature_value": "0",
  1219. "beam_idx": "0",
  1220. "feature_name": "stack(1).focus",
  1221. "step_idx": "0",
  1222. "batch_idx": "0"
  1223. }
  1224. ],
  1225. "name": "tagger",
  1226. "source_layer": "logits",
  1227. "source_translator": "identity"
  1228. },
  1229. {
  1230. "source_component": "parser",
  1231. "value_trace": [
  1232. {
  1233. "feature_value": "4",
  1234. "beam_idx": "0",
  1235. "feature_name": "stack.focus",
  1236. "step_idx": "7",
  1237. "batch_idx": "0"
  1238. },
  1239. {
  1240. "feature_value": "0",
  1241. "beam_idx": "0",
  1242. "feature_name": "stack(1).focus",
  1243. "step_idx": "4",
  1244. "batch_idx": "0"
  1245. }
  1246. ],
  1247. "name": "rnn-stack",
  1248. "source_layer": "layer_0",
  1249. "source_translator": "shift-reduce-step"
  1250. }
  1251. ],
  1252. "caption": "SHIFT",
  1253. "html_representation": "Stack: fair people | Input: have "
  1254. },
  1255. {
  1256. "step_finished": true,
  1257. "linked_feature_trace": [
  1258. {
  1259. "source_component": "lookahead",
  1260. "value_trace": [
  1261. {
  1262. "feature_value": "6",
  1263. "beam_idx": "0",
  1264. "feature_name": "input.focus",
  1265. "step_idx": "2",
  1266. "batch_idx": "0"
  1267. }
  1268. ],
  1269. "name": "lookahead",
  1270. "source_layer": "layer_0",
  1271. "source_translator": "reverse-token"
  1272. },
  1273. {
  1274. "source_component": "tagger",
  1275. "value_trace": [
  1276. {
  1277. "feature_value": "6",
  1278. "beam_idx": "0",
  1279. "feature_name": "input.focus",
  1280. "step_idx": "6",
  1281. "batch_idx": "0"
  1282. },
  1283. {
  1284. "feature_value": "5",
  1285. "beam_idx": "0",
  1286. "feature_name": "stack.focus",
  1287. "step_idx": "5",
  1288. "batch_idx": "0"
  1289. },
  1290. {
  1291. "feature_value": "4",
  1292. "beam_idx": "0",
  1293. "feature_name": "stack(1).focus",
  1294. "step_idx": "4",
  1295. "batch_idx": "0"
  1296. }
  1297. ],
  1298. "name": "tagger",
  1299. "source_layer": "logits",
  1300. "source_translator": "identity"
  1301. },
  1302. {
  1303. "source_component": "parser",
  1304. "value_trace": [
  1305. {
  1306. "feature_value": "5",
  1307. "beam_idx": "0",
  1308. "feature_name": "stack.focus",
  1309. "step_idx": "8",
  1310. "batch_idx": "0"
  1311. },
  1312. {
  1313. "feature_value": "4",
  1314. "beam_idx": "0",
  1315. "feature_name": "stack(1).focus",
  1316. "step_idx": "7",
  1317. "batch_idx": "0"
  1318. }
  1319. ],
  1320. "name": "rnn-stack",
  1321. "source_layer": "layer_0",
  1322. "source_translator": "shift-reduce-step"
  1323. }
  1324. ],
  1325. "caption": "SHIFT",
  1326. "html_representation": "Stack: fair people have | Input: eaten "
  1327. },
  1328. {
  1329. "step_finished": true,
  1330. "linked_feature_trace": [
  1331. {
  1332. "source_component": "lookahead",
  1333. "value_trace": [
  1334. {
  1335. "feature_value": "7",
  1336. "beam_idx": "0",
  1337. "feature_name": "input.focus",
  1338. "step_idx": "1",
  1339. "batch_idx": "0"
  1340. }
  1341. ],
  1342. "name": "lookahead",
  1343. "source_layer": "layer_0",
  1344. "source_translator": "reverse-token"
  1345. },
  1346. {
  1347. "source_component": "tagger",
  1348. "value_trace": [
  1349. {
  1350. "feature_value": "7",
  1351. "beam_idx": "0",
  1352. "feature_name": "input.focus",
  1353. "step_idx": "7",
  1354. "batch_idx": "0"
  1355. },
  1356. {
  1357. "feature_value": "6",
  1358. "beam_idx": "0",
  1359. "feature_name": "stack.focus",
  1360. "step_idx": "6",
  1361. "batch_idx": "0"
  1362. },
  1363. {
  1364. "feature_value": "5",
  1365. "beam_idx": "0",
  1366. "feature_name": "stack(1).focus",
  1367. "step_idx": "5",
  1368. "batch_idx": "0"
  1369. }
  1370. ],
  1371. "name": "tagger",
  1372. "source_layer": "logits",
  1373. "source_translator": "identity"
  1374. },
  1375. {
  1376. "source_component": "parser",
  1377. "value_trace": [
  1378. {
  1379. "feature_value": "6",
  1380. "beam_idx": "0",
  1381. "feature_name": "stack.focus",
  1382. "step_idx": "9",
  1383. "batch_idx": "0"
  1384. },
  1385. {
  1386. "feature_value": "5",
  1387. "beam_idx": "0",
  1388. "feature_name": "stack(1).focus",
  1389. "step_idx": "8",
  1390. "batch_idx": "0"
  1391. }
  1392. ],
  1393. "name": "rnn-stack",
  1394. "source_layer": "layer_0",
  1395. "source_translator": "shift-reduce-step"
  1396. }
  1397. ],
  1398. "caption": "LEFT_ARC(aux)",
  1399. "html_representation": "Stack: fair people have eaten | Input: me "
  1400. },
  1401. {
  1402. "step_finished": true,
  1403. "linked_feature_trace": [
  1404. {
  1405. "source_component": "lookahead",
  1406. "value_trace": [
  1407. {
  1408. "feature_value": "7",
  1409. "beam_idx": "0",
  1410. "feature_name": "input.focus",
  1411. "step_idx": "1",
  1412. "batch_idx": "0"
  1413. }
  1414. ],
  1415. "name": "lookahead",
  1416. "source_layer": "layer_0",
  1417. "source_translator": "reverse-token"
  1418. },
  1419. {
  1420. "source_component": "tagger",
  1421. "value_trace": [
  1422. {
  1423. "feature_value": "7",
  1424. "beam_idx": "0",
  1425. "feature_name": "input.focus",
  1426. "step_idx": "7",
  1427. "batch_idx": "0"
  1428. },
  1429. {
  1430. "feature_value": "6",
  1431. "beam_idx": "0",
  1432. "feature_name": "stack.focus",
  1433. "step_idx": "6",
  1434. "batch_idx": "0"
  1435. },
  1436. {
  1437. "feature_value": "4",
  1438. "beam_idx": "0",
  1439. "feature_name": "stack(1).focus",
  1440. "step_idx": "4",
  1441. "batch_idx": "0"
  1442. }
  1443. ],
  1444. "name": "tagger",
  1445. "source_layer": "logits",
  1446. "source_translator": "identity"
  1447. },
  1448. {
  1449. "source_component": "parser",
  1450. "value_trace": [
  1451. {
  1452. "feature_value": "6",
  1453. "beam_idx": "0",
  1454. "feature_name": "stack.focus",
  1455. "step_idx": "10",
  1456. "batch_idx": "0"
  1457. },
  1458. {
  1459. "feature_value": "4",
  1460. "beam_idx": "0",
  1461. "feature_name": "stack(1).focus",
  1462. "step_idx": "7",
  1463. "batch_idx": "0"
  1464. }
  1465. ],
  1466. "name": "rnn-stack",
  1467. "source_layer": "layer_0",
  1468. "source_translator": "shift-reduce-step"
  1469. }
  1470. ],
  1471. "caption": "LEFT_ARC(nsubj)",
  1472. "html_representation": "Stack: fair people eaten | Input: me "
  1473. },
  1474. {
  1475. "step_finished": true,
  1476. "linked_feature_trace": [
  1477. {
  1478. "source_component": "lookahead",
  1479. "value_trace": [
  1480. {
  1481. "feature_value": "7",
  1482. "beam_idx": "0",
  1483. "feature_name": "input.focus",
  1484. "step_idx": "1",
  1485. "batch_idx": "0"
  1486. }
  1487. ],
  1488. "name": "lookahead",
  1489. "source_layer": "layer_0",
  1490. "source_translator": "reverse-token"
  1491. },
  1492. {
  1493. "source_component": "tagger",
  1494. "value_trace": [
  1495. {
  1496. "feature_value": "7",
  1497. "beam_idx": "0",
  1498. "feature_name": "input.focus",
  1499. "step_idx": "7",
  1500. "batch_idx": "0"
  1501. },
  1502. {
  1503. "feature_value": "6",
  1504. "beam_idx": "0",
  1505. "feature_name": "stack.focus",
  1506. "step_idx": "6",
  1507. "batch_idx": "0"
  1508. },
  1509. {
  1510. "feature_value": "0",
  1511. "beam_idx": "0",
  1512. "feature_name": "stack(1).focus",
  1513. "step_idx": "0",
  1514. "batch_idx": "0"
  1515. }
  1516. ],
  1517. "name": "tagger",
  1518. "source_layer": "logits",
  1519. "source_translator": "identity"
  1520. },
  1521. {
  1522. "source_component": "parser",
  1523. "value_trace": [
  1524. {
  1525. "feature_value": "6",
  1526. "beam_idx": "0",
  1527. "feature_name": "stack.focus",
  1528. "step_idx": "11",
  1529. "batch_idx": "0"
  1530. },
  1531. {
  1532. "feature_value": "0",
  1533. "beam_idx": "0",
  1534. "feature_name": "stack(1).focus",
  1535. "step_idx": "4",
  1536. "batch_idx": "0"
  1537. }
  1538. ],
  1539. "name": "rnn-stack",
  1540. "source_layer": "layer_0",
  1541. "source_translator": "shift-reduce-step"
  1542. }
  1543. ],
  1544. "caption": "SHIFT",
  1545. "html_representation": "Stack: fair eaten | Input: me "
  1546. },
  1547. {
  1548. "step_finished": true,
  1549. "linked_feature_trace": [
  1550. {
  1551. "source_component": "lookahead",
  1552. "value_trace": [
  1553. {
  1554. "feature_value": "8",
  1555. "beam_idx": "0",
  1556. "feature_name": "input.focus",
  1557. "step_idx": "0",
  1558. "batch_idx": "0"
  1559. }
  1560. ],
  1561. "name": "lookahead",
  1562. "source_layer": "layer_0",
  1563. "source_translator": "reverse-token"
  1564. },
  1565. {
  1566. "source_component": "tagger",
  1567. "value_trace": [
  1568. {
  1569. "feature_value": "8",
  1570. "beam_idx": "0",
  1571. "feature_name": "input.focus",
  1572. "step_idx": "8",
  1573. "batch_idx": "0"
  1574. },
  1575. {
  1576. "feature_value": "7",
  1577. "beam_idx": "0",
  1578. "feature_name": "stack.focus",
  1579. "step_idx": "7",
  1580. "batch_idx": "0"
  1581. },
  1582. {
  1583. "feature_value": "6",
  1584. "beam_idx": "0",
  1585. "feature_name": "stack(1).focus",
  1586. "step_idx": "6",
  1587. "batch_idx": "0"
  1588. }
  1589. ],
  1590. "name": "tagger",
  1591. "source_layer": "logits",
  1592. "source_translator": "identity"
  1593. },
  1594. {
  1595. "source_component": "parser",
  1596. "value_trace": [
  1597. {
  1598. "feature_value": "7",
  1599. "beam_idx": "0",
  1600. "feature_name": "stack.focus",
  1601. "step_idx": "12",
  1602. "batch_idx": "0"
  1603. },
  1604. {
  1605. "feature_value": "6",
  1606. "beam_idx": "0",
  1607. "feature_name": "stack(1).focus",
  1608. "step_idx": "11",
  1609. "batch_idx": "0"
  1610. }
  1611. ],
  1612. "name": "rnn-stack",
  1613. "source_layer": "layer_0",
  1614. "source_translator": "shift-reduce-step"
  1615. }
  1616. ],
  1617. "caption": "RIGHT_ARC(dobj)",
  1618. "html_representation": "Stack: fair eaten me | Input: . "
  1619. },
  1620. {
  1621. "step_finished": true,
  1622. "linked_feature_trace": [
  1623. {
  1624. "source_component": "lookahead",
  1625. "value_trace": [
  1626. {
  1627. "feature_value": "8",
  1628. "beam_idx": "0",
  1629. "feature_name": "input.focus",
  1630. "step_idx": "0",
  1631. "batch_idx": "0"
  1632. }
  1633. ],
  1634. "name": "lookahead",
  1635. "source_layer": "layer_0",
  1636. "source_translator": "reverse-token"
  1637. },
  1638. {
  1639. "source_component": "tagger",
  1640. "value_trace": [
  1641. {
  1642. "feature_value": "8",
  1643. "beam_idx": "0",
  1644. "feature_name": "input.focus",
  1645. "step_idx": "8",
  1646. "batch_idx": "0"
  1647. },
  1648. {
  1649. "feature_value": "6",
  1650. "beam_idx": "0",
  1651. "feature_name": "stack.focus",
  1652. "step_idx": "6",
  1653. "batch_idx": "0"
  1654. },
  1655. {
  1656. "feature_value": "0",
  1657. "beam_idx": "0",
  1658. "feature_name": "stack(1).focus",
  1659. "step_idx": "0",
  1660. "batch_idx": "0"
  1661. }
  1662. ],
  1663. "name": "tagger",
  1664. "source_layer": "logits",
  1665. "source_translator": "identity"
  1666. },
  1667. {
  1668. "source_component": "parser",
  1669. "value_trace": [
  1670. {
  1671. "feature_value": "6",
  1672. "beam_idx": "0",
  1673. "feature_name": "stack.focus",
  1674. "step_idx": "13",
  1675. "batch_idx": "0"
  1676. },
  1677. {
  1678. "feature_value": "0",
  1679. "beam_idx": "0",
  1680. "feature_name": "stack(1).focus",
  1681. "step_idx": "4",
  1682. "batch_idx": "0"
  1683. }
  1684. ],
  1685. "name": "rnn-stack",
  1686. "source_layer": "layer_0",
  1687. "source_translator": "shift-reduce-step"
  1688. }
  1689. ],
  1690. "caption": "RIGHT_ARC(parataxis)",
  1691. "html_representation": "Stack: fair eaten | Input: . "
  1692. },
  1693. {
  1694. "step_finished": true,
  1695. "linked_feature_trace": [
  1696. {
  1697. "source_component": "lookahead",
  1698. "value_trace": [
  1699. {
  1700. "feature_value": "8",
  1701. "beam_idx": "0",
  1702. "feature_name": "input.focus",
  1703. "step_idx": "0",
  1704. "batch_idx": "0"
  1705. }
  1706. ],
  1707. "name": "lookahead",
  1708. "source_layer": "layer_0",
  1709. "source_translator": "reverse-token"
  1710. },
  1711. {
  1712. "source_component": "tagger",
  1713. "value_trace": [
  1714. {
  1715. "feature_value": "8",
  1716. "beam_idx": "0",
  1717. "feature_name": "input.focus",
  1718. "step_idx": "8",
  1719. "batch_idx": "0"
  1720. },
  1721. {
  1722. "feature_value": "0",
  1723. "beam_idx": "0",
  1724. "feature_name": "stack.focus",
  1725. "step_idx": "0",
  1726. "batch_idx": "0"
  1727. }
  1728. ],
  1729. "name": "tagger",
  1730. "source_layer": "logits",
  1731. "source_translator": "identity"
  1732. },
  1733. {
  1734. "source_component": "parser",
  1735. "value_trace": [
  1736. {
  1737. "feature_value": "0",
  1738. "beam_idx": "0",
  1739. "feature_name": "stack.focus",
  1740. "step_idx": "14",
  1741. "batch_idx": "0"
  1742. }
  1743. ],
  1744. "name": "rnn-stack",
  1745. "source_layer": "layer_0",
  1746. "source_translator": "shift-reduce-step"
  1747. }
  1748. ],
  1749. "caption": "SHIFT",
  1750. "html_representation": "Stack: fair | Input: . "
  1751. },
  1752. {
  1753. "step_finished": true,
  1754. "linked_feature_trace": [
  1755. {
  1756. "source_component": "lookahead",
  1757. "name": "lookahead",
  1758. "source_layer": "layer_0",
  1759. "source_translator": "reverse-token"
  1760. },
  1761. {
  1762. "source_component": "tagger",
  1763. "value_trace": [
  1764. {
  1765. "feature_value": "8",
  1766. "beam_idx": "0",
  1767. "feature_name": "stack.focus",
  1768. "step_idx": "8",
  1769. "batch_idx": "0"
  1770. },
  1771. {
  1772. "feature_value": "0",
  1773. "beam_idx": "0",
  1774. "feature_name": "stack(1).focus",
  1775. "step_idx": "0",
  1776. "batch_idx": "0"
  1777. }
  1778. ],
  1779. "name": "tagger",
  1780. "source_layer": "logits",
  1781. "source_translator": "identity"
  1782. },
  1783. {
  1784. "source_component": "parser",
  1785. "value_trace": [
  1786. {
  1787. "feature_value": "8",
  1788. "beam_idx": "0",
  1789. "feature_name": "stack.focus",
  1790. "step_idx": "15",
  1791. "batch_idx": "0"
  1792. },
  1793. {
  1794. "feature_value": "0",
  1795. "beam_idx": "0",
  1796. "feature_name": "stack(1).focus",
  1797. "step_idx": "14",
  1798. "batch_idx": "0"
  1799. }
  1800. ],
  1801. "name": "rnn-stack",
  1802. "source_layer": "layer_0",
  1803. "source_translator": "shift-reduce-step"
  1804. }
  1805. ],
  1806. "caption": "RIGHT_ARC(p)",
  1807. "html_representation": "Stack: fair . | Input: "
  1808. },
  1809. {
  1810. "step_finished": true,
  1811. "linked_feature_trace": [
  1812. {
  1813. "source_component": "lookahead",
  1814. "name": "lookahead",
  1815. "source_layer": "layer_0",
  1816. "source_translator": "reverse-token"
  1817. },
  1818. {
  1819. "source_component": "tagger",
  1820. "value_trace": [
  1821. {
  1822. "feature_value": "0",
  1823. "beam_idx": "0",
  1824. "feature_name": "stack.focus",
  1825. "step_idx": "0",
  1826. "batch_idx": "0"
  1827. }
  1828. ],
  1829. "name": "tagger",
  1830. "source_layer": "logits",
  1831. "source_translator": "identity"
  1832. },
  1833. {
  1834. "source_component": "parser",
  1835. "value_trace": [
  1836. {
  1837. "feature_value": "0",
  1838. "beam_idx": "0",
  1839. "feature_name": "stack.focus",
  1840. "step_idx": "16",
  1841. "batch_idx": "0"
  1842. }
  1843. ],
  1844. "name": "rnn-stack",
  1845. "source_layer": "layer_0",
  1846. "source_translator": "shift-reduce-step"
  1847. }
  1848. ],
  1849. "caption": "RIGHT_ARC(ROOT)",
  1850. "html_representation": "Stack: fair | Input: "
  1851. },
  1852. {
  1853. "linked_feature_trace": [
  1854. {
  1855. "source_component": "lookahead",
  1856. "name": "lookahead",
  1857. "source_layer": "layer_0",
  1858. "source_translator": "reverse-token"
  1859. },
  1860. {
  1861. "source_component": "tagger",
  1862. "name": "tagger",
  1863. "source_layer": "logits",
  1864. "source_translator": "identity"
  1865. },
  1866. {
  1867. "source_component": "parser",
  1868. "name": "rnn-stack",
  1869. "source_layer": "layer_0",
  1870. "source_translator": "shift-reduce-step"
  1871. }
  1872. ],
  1873. "html_representation": "Stack: | Input: "
  1874. }
  1875. ],
  1876. "name": "parser"
  1877. }
  1878. ]
  1879. }, "59f759df-07f7-4a80-bd65-1ecdbb9e52bf", {
  1880. "component": [
  1881. {
  1882. "backend": {
  1883. "registered_name": "SyntaxNetComponent"
  1884. },
  1885. "component_builder": {
  1886. "registered_name": "DynamicComponentBuilder"
  1887. },
  1888. "num_actions": 8,
  1889. "network_unit": {
  1890. "parameters": {
  1891. "hidden_layer_sizes": "256"
  1892. },
  1893. "registered_name": "FeedForwardNetwork"
  1894. },
  1895. "name": "tagger",
  1896. "resource": [
  1897. {
  1898. "name": "word-map",
  1899. "part": [
  1900. {
  1901. "file_pattern": "/tmp/tutorial/lexicon/word-map"
  1902. }
  1903. ]
  1904. },
  1905. {
  1906. "name": "tag-map",
  1907. "part": [
  1908. {
  1909. "file_pattern": "/tmp/tutorial/lexicon/tag-map"
  1910. }
  1911. ]
  1912. },
  1913. {
  1914. "name": "tag-to-category",
  1915. "part": [
  1916. {
  1917. "file_pattern": "/tmp/tutorial/lexicon/tag-to-category"
  1918. }
  1919. ]
  1920. },
  1921. {
  1922. "name": "lcword-map",
  1923. "part": [
  1924. {
  1925. "file_pattern": "/tmp/tutorial/lexicon/lcword-map"
  1926. }
  1927. ]
  1928. },
  1929. {
  1930. "name": "category-map",
  1931. "part": [
  1932. {
  1933. "file_pattern": "/tmp/tutorial/lexicon/category-map"
  1934. }
  1935. ]
  1936. },
  1937. {
  1938. "name": "char-map",
  1939. "part": [
  1940. {
  1941. "file_pattern": "/tmp/tutorial/lexicon/char-map"
  1942. }
  1943. ]
  1944. },
  1945. {
  1946. "name": "char-ngram-map",
  1947. "part": [
  1948. {
  1949. "file_pattern": "/tmp/tutorial/lexicon/char-ngram-map"
  1950. }
  1951. ]
  1952. },
  1953. {
  1954. "name": "label-map",
  1955. "part": [
  1956. {
  1957. "file_pattern": "/tmp/tutorial/lexicon/label-map"
  1958. }
  1959. ]
  1960. },
  1961. {
  1962. "name": "prefix-table",
  1963. "part": [
  1964. {
  1965. "file_pattern": "/tmp/tutorial/lexicon/prefix-table"
  1966. }
  1967. ]
  1968. },
  1969. {
  1970. "name": "suffix-table",
  1971. "part": [
  1972. {
  1973. "file_pattern": "/tmp/tutorial/lexicon/suffix-table"
  1974. }
  1975. ]
  1976. }
  1977. ],
  1978. "fixed_feature": [
  1979. {
  1980. "vocabulary_size": 12,
  1981. "size": 1,
  1982. "name": "words",
  1983. "embedding_dim": 64,
  1984. "fml": "input.word"
  1985. }
  1986. ],
  1987. "transition_system": {
  1988. "registered_name": "tagger"
  1989. },
  1990. "linked_feature": [
  1991. {
  1992. "source_layer": "layer_0",
  1993. "size": 1,
  1994. "fml": "constant",
  1995. "source_component": "tagger",
  1996. "name": "rnn",
  1997. "source_translator": "history",
  1998. "embedding_dim": -1
  1999. }
  2000. ]
  2001. },
  2002. {
  2003. "backend": {
  2004. "registered_name": "SyntaxNetComponent"
  2005. },
  2006. "component_builder": {
  2007. "registered_name": "DynamicComponentBuilder"
  2008. },
  2009. "num_actions": 1,
  2010. "network_unit": {
  2011. "parameters": {
  2012. "hidden_layer_sizes": "256"
  2013. },
  2014. "registered_name": "FeedForwardNetwork"
  2015. },
  2016. "name": "lookahead",
  2017. "resource": [
  2018. {
  2019. "name": "word-map",
  2020. "part": [
  2021. {
  2022. "file_pattern": "/tmp/tutorial/lexicon/word-map"
  2023. }
  2024. ]
  2025. },
  2026. {
  2027. "name": "tag-map",
  2028. "part": [
  2029. {
  2030. "file_pattern": "/tmp/tutorial/lexicon/tag-map"
  2031. }
  2032. ]
  2033. },
  2034. {
  2035. "name": "tag-to-category",
  2036. "part": [
  2037. {
  2038. "file_pattern": "/tmp/tutorial/lexicon/tag-to-category"
  2039. }
  2040. ]
  2041. },
  2042. {
  2043. "name": "lcword-map",
  2044. "part": [
  2045. {
  2046. "file_pattern": "/tmp/tutorial/lexicon/lcword-map"
  2047. }
  2048. ]
  2049. },
  2050. {
  2051. "name": "category-map",
  2052. "part": [
  2053. {
  2054. "file_pattern": "/tmp/tutorial/lexicon/category-map"
  2055. }
  2056. ]
  2057. },
  2058. {
  2059. "name": "char-map",
  2060. "part": [
  2061. {
  2062. "file_pattern": "/tmp/tutorial/lexicon/char-map"
  2063. }
  2064. ]
  2065. },
  2066. {
  2067. "name": "char-ngram-map",
  2068. "part": [
  2069. {
  2070. "file_pattern": "/tmp/tutorial/lexicon/char-ngram-map"
  2071. }
  2072. ]
  2073. },
  2074. {
  2075. "name": "label-map",
  2076. "part": [
  2077. {
  2078. "file_pattern": "/tmp/tutorial/lexicon/label-map"
  2079. }
  2080. ]
  2081. },
  2082. {
  2083. "name": "prefix-table",
  2084. "part": [
  2085. {
  2086. "file_pattern": "/tmp/tutorial/lexicon/prefix-table"
  2087. }
  2088. ]
  2089. },
  2090. {
  2091. "name": "suffix-table",
  2092. "part": [
  2093. {
  2094. "file_pattern": "/tmp/tutorial/lexicon/suffix-table"
  2095. }
  2096. ]
  2097. }
  2098. ],
  2099. "fixed_feature": [
  2100. {
  2101. "vocabulary_size": 12,
  2102. "size": 1,
  2103. "name": "words",
  2104. "embedding_dim": 64,
  2105. "fml": "input.word"
  2106. }
  2107. ],
  2108. "transition_system": {
  2109. "parameters": {
  2110. "left_to_right": "false"
  2111. },
  2112. "registered_name": "shift-only"
  2113. },
  2114. "linked_feature": [
  2115. {
  2116. "source_layer": "layer_0",
  2117. "size": 1,
  2118. "fml": "constant",
  2119. "source_component": "lookahead",
  2120. "name": "rnn",
  2121. "source_translator": "history",
  2122. "embedding_dim": -1
  2123. }
  2124. ]
  2125. },
  2126. {
  2127. "backend": {
  2128. "registered_name": "SyntaxNetComponent"
  2129. },
  2130. "component_builder": {
  2131. "registered_name": "DynamicComponentBuilder"
  2132. },
  2133. "num_actions": 17,
  2134. "network_unit": {
  2135. "parameters": {
  2136. "hidden_layer_sizes": "256",
  2137. "layer_norm_hidden": "True"
  2138. },
  2139. "registered_name": "FeedForwardNetwork"
  2140. },
  2141. "name": "parser",
  2142. "resource": [
  2143. {
  2144. "name": "word-map",
  2145. "part": [
  2146. {
  2147. "file_pattern": "/tmp/tutorial/lexicon/word-map"
  2148. }
  2149. ]
  2150. },
  2151. {
  2152. "name": "tag-map",
  2153. "part": [
  2154. {
  2155. "file_pattern": "/tmp/tutorial/lexicon/tag-map"
  2156. }
  2157. ]
  2158. },
  2159. {
  2160. "name": "tag-to-category",
  2161. "part": [
  2162. {
  2163. "file_pattern": "/tmp/tutorial/lexicon/tag-to-category"
  2164. }
  2165. ]
  2166. },
  2167. {
  2168. "name": "lcword-map",
  2169. "part": [
  2170. {
  2171. "file_pattern": "/tmp/tutorial/lexicon/lcword-map"
  2172. }
  2173. ]
  2174. },
  2175. {
  2176. "name": "category-map",
  2177. "part": [
  2178. {
  2179. "file_pattern": "/tmp/tutorial/lexicon/category-map"
  2180. }
  2181. ]
  2182. },
  2183. {
  2184. "name": "char-map",
  2185. "part": [
  2186. {
  2187. "file_pattern": "/tmp/tutorial/lexicon/char-map"
  2188. }
  2189. ]
  2190. },
  2191. {
  2192. "name": "char-ngram-map",
  2193. "part": [
  2194. {
  2195. "file_pattern": "/tmp/tutorial/lexicon/char-ngram-map"
  2196. }
  2197. ]
  2198. },
  2199. {
  2200. "name": "label-map",
  2201. "part": [
  2202. {
  2203. "file_pattern": "/tmp/tutorial/lexicon/label-map"
  2204. }
  2205. ]
  2206. },
  2207. {
  2208. "name": "prefix-table",
  2209. "part": [
  2210. {
  2211. "file_pattern": "/tmp/tutorial/lexicon/prefix-table"
  2212. }
  2213. ]
  2214. },
  2215. {
  2216. "name": "suffix-table",
  2217. "part": [
  2218. {
  2219. "file_pattern": "/tmp/tutorial/lexicon/suffix-table"
  2220. }
  2221. ]
  2222. }
  2223. ],
  2224. "transition_system": {
  2225. "registered_name": "arc-standard"
  2226. },
  2227. "linked_feature": [
  2228. {
  2229. "source_layer": "layer_0",
  2230. "size": 1,
  2231. "fml": "input.focus",
  2232. "source_component": "lookahead",
  2233. "name": "lookahead",
  2234. "source_translator": "reverse-token",
  2235. "embedding_dim": 64
  2236. },
  2237. {
  2238. "source_layer": "logits",
  2239. "size": 3,
  2240. "fml": "input.focus stack.focus stack(1).focus",
  2241. "source_component": "tagger",
  2242. "name": "tagger",
  2243. "source_translator": "identity",
  2244. "embedding_dim": 32
  2245. },
  2246. {
  2247. "source_layer": "layer_0",
  2248. "size": 2,
  2249. "fml": "stack.focus stack(1).focus",
  2250. "source_component": "parser",
  2251. "name": "rnn-stack",
  2252. "source_translator": "shift-reduce-step",
  2253. "embedding_dim": 32
  2254. }
  2255. ]
  2256. }
  2257. ]
  2258. });
  2259. </script>
  2260. </body>
  2261. </html>