{"id":106018,"date":"2022-12-13T09:36:49","date_gmt":"2022-12-13T07:36:49","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-sistemy-mashinnogo-perevoda-opennmt-tf-2-30"},"modified":"2022-12-13T09:36:49","modified_gmt":"2022-12-13T07:36:49","slug":"vypusk-sistemy-mashinnogo-perevoda-opennmt-tf-2-30","status":"publish","type":"post","link":"https:\/\/prohoster.info\/et\/blog\/news\/vypusk-sistemy-mashinnogo-perevoda-opennmt-tf-2-30","title":{"rendered":"Avalikustatud OpenNMT-tf 2.30 masint\u00f5lke s\u00fcsteemi versioon.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Avalikustatud OpenNMT-tf 2.30.0 (Open Neural Machine Translation) masint\u00f5lke s\u00fcsteemi versioon, mis kasutab masin\u00f5ppe meetodeid. OpenNMT-tf projekti raames arendatavate moodulite kood on kirjutatud Pythonis, kasutades TensorFlow raamatukogu ning levitatakse MIT litsentsi alusel.     <\/p>\n<p>Sama ajal areneb OpenNMT versioon, mis p\u00f5hineb PyTorch teegil, erinedes toetatavatest v\u00f5imalustest. Lisaks esitatakse OpenNMT PyTorchis kui lihtsam kasutada ja multimodaalne, samas kui TensorFlow versioon m\u00e4rgitakse kui modulaarne, stabiilne ja v\u00f5imaldades GPU v\u00f5imalusi n\u00e4rviv\u00f5rgu treeningprotsessi kiirusel kiirusel. Toote levitamise h\u00f5lbustamiseks arendatakse projektiga ka iseseisvat t\u00f5lkijat C++ keeles \u2014 CTranslate2, mis kasutab eelnevalt treenitud mudeleid ilma t\u00e4iendavate s\u00f5ltuvusteta.         <\/p>\n<p>Mudelite tugi on valmistatud inglise, saksa ja katalaani keelte jaoks, samas kui teiste keelte jaoks saab mudeli iseseisvalt luua OPUS projekti andmestiku p\u00f5hjal (s\u00fcsteemi \u00f5petamiseks edastatakse kaks faili \u2014 \u00fcks originaalskeeles lauseid ja teine nende kvaliteetsete t\u00f5lgete jaoks sihtkeeles).    <\/p>\n<p>Projekt areneb koost\u00f6\u00f6s ettev\u00f5ttega SYSTRAN, mis spetsialiseerub masint\u00f5lke vahendite loomisele, ja Harvardi teadlaste grupiga, kes arendab inimkeele mudeleid masin\u00f5ppe s\u00fcsteemide jaoks. Kasutajaliides on maksimaalselt lihtsustatud ning n\u00f5uab vaid sisendfaili m\u00e4\u00e4ramist tekstiga ja faili tulemuste salvestamiseks. Laienduste s\u00fcsteem v\u00f5imaldab OpenNMT baasil rakendada t\u00e4iendavat funktsionaalsust, nagu automaatviitamine, tekstide klassifitseerimine ja subtiitrite genereerimine.     <\/p>\n<p>Uues versioonis:  <\/p>\n<ul>\n<li class=\"l\"> Lisatud tugi TensorFlow 2.11 raamatukogule, kuid uusi Keras\u2019i optimeerijaid ei toetata veel (vajalik on kasutada re\u017eiimi tf.keras.optimizers.legacy).\n<li class=\"l\"> Uue CTranslate2 3.x versiooni tugi on lisatud, mis on m\u00f5eldud mudeleid t\u00f5husalt rakendama arhitektuuriga \u201etransformer\u201c.\n<li class=\"l\"> Mudelite treenimise parameeter pad_to_bucket_boundary on lisatud, mis v\u00f5imaldab lisat\u00e4ite kasutamist, mis joondab ploki suuruse length_bucket_width'i kordsete v\u00e4\u00e4rtuste j\u00e4rgi.\n<li class=\"l\"> Integreeritud on chrf ja chrf++ meetrikate tugi SacreBLEU projektist, mis v\u00f5rdlevad masint\u00f5lget kvaliteetsete inimt\u00f5lgetega.\n<li class=\"l\"> Mudeli ctranslate2_spec atribuut on eemaldatud, kuna seda ei kasutata enam CTranslate2-s.  <\/ul>\n<p>Allikas: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=58316\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0432\u044b\u043f\u0443\u0441\u043a \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043f\u0435\u0440\u0435\u0432\u043e\u0434\u0430 OpenNMT-tf 2.30.0 (Open Neural Machine Translation), \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0435\u0439 \u043c\u0435\u0442\u043e\u0434\u044b \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f. \u041a\u043e\u0434 \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u043c\u044b\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u043c OpenNMT-tf \u043c\u043e\u0434\u0443\u043b\u0435\u0439 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0443 TensorFlow \u0438 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 MIT. \u041f\u0430\u0440\u0430\u043b\u043b\u0435\u043b\u044c\u043d\u043e \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u0432\u0430\u0440\u0438\u0430\u043d\u0442 OpenNMT \u043d\u0430 \u0431\u0430\u0437\u0435 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 PyTorch, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043e\u0442\u043b\u0438\u0447\u0430\u0435\u0442\u0441\u044f \u043d\u0430 \u0443\u0440\u043e\u0432\u043d\u0435 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u043c\u044b\u0445 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0435\u0439. \u041a\u0440\u043e\u043c\u0435 \u0442\u043e\u0433\u043e, OpenNMT \u043d\u0430 \u0431\u0430\u0437\u0435 PyTorch \u043f\u0440\u0435\u043f\u043e\u0434\u043d\u043e\u0441\u0438\u0442\u0441\u044f \u043a\u0430\u043a \u0431\u043e\u043b\u0435\u0435 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-106018","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.0.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0432\u044b\u043f\u0443\u0441\u043a \u0441\u0438\u0441\u0442\u0435\u043c\u044b 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