{"id":104737,"date":"2022-07-30T09:37:00","date_gmt":"2022-07-30T07:37:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-sistemy-mashinnogo-perevoda-opennmt-2-28-0"},"modified":"2022-07-30T09:37:00","modified_gmt":"2022-07-30T07:37:00","slug":"vypusk-sistemy-mashinnogo-perevoda-opennmt-2-28-0","status":"publish","type":"post","link":"https:\/\/prohoster.info\/ro\/blog\/news\/vypusk-sistemy-mashinnogo-perevoda-opennmt-2-28-0","title":{"rendered":"Lansare sistem de traducere automat\u0103 OpenNMT 2.28.0","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

A ap\u0103rut versiunea 0.28.0 a sistemului de traducere automat\u0103 OpenNMT (Open Neural Machine Translation), care folose\u0219te metode de \u00eenv\u0103\u021bare automat\u0103. Pentru construirea re\u021belei neuronale, proiectul folose\u0219te capacit\u0103\u021bile bibliotecii de \u00eenv\u0103\u021bare profund\u0103 TensorFlow. Codul modulelor dezvoltate de proiectul OpenNMT este scris \u00een limbajul Python \u0219i este distribuit sub licen\u021ba MIT. Modelele gata preg\u0103tite sunt disponibile pentru limbile englez\u0103, german\u0103 \u0219i catalan\u0103; pentru celelalte limbi, se poate forma singur un model pe baza setului de date de la proiectul OPUS (pentru antrenarea sistemului sunt transmise dou\u0103 fi\u0219iere \u2014 unul cu propozi\u021bii \u00een limba surs\u0103 \u0219i cel\u0103lalt cu traducerea de calitate a acestor propozi\u021bii \u00een limba \u021bint\u0103). <\/p>\n

Proiectul se dezvolt\u0103 cu ajutorul companiei SYSTRAN, specializat\u0103 \u00een crearea de instrumente de traducere automat\u0103, \u0219i al unei echipe de cercet\u0103tori de la Harvard, care dezvolt\u0103 modele ale limbajului uman pentru sistemele de \u00eenv\u0103\u021bare automat\u0103. Interfa\u021ba utilizatorului este maxim simplificat\u0103 \u0219i necesit\u0103 doar specificarea unui fi\u0219ier de intrare cu textul \u0219i a unui fi\u0219ier pentru salvarea rezultatului traducerii. Sistemul de extensii permite implementarea de func\u021bionalit\u0103\u021bi suplimentare pe baza OpenNMT, cum ar fi auto-referin\u021ba, clasificarea textelor \u0219i generarea de subtitr\u0103ri. <\/p>\n

Aplicarea TensorFlow permite utilizarea resurselor GPU (pentru accelerarea procesului de antrenare a re\u021belei neuronale). Pentru a simplifica distribu\u021bia produsului, proiectul dezvolt\u0103, de asemenea, o variant\u0103 autonom\u0103 a traductorului \u00een limbajul C++ \u2014 CTranslate2, care folose\u0219te modele pre-antrenate f\u0103r\u0103 dependen\u021be suplimentare. <\/p>\n

Noua versiune adaug\u0103 parametrul initial_learning_rate \u0219i implementeaz\u0103 c\u00e2\u021biva noi argumente (mha_bias \u0219i output_layer_bias) pentru configurarea generatorului de modele Transformer. \u00cen rest, sunt men\u021bionate corec\u021biile de erori.
\n
Sursa: opennet.ro<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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\u0434\u043b\u044f \u043e\u0441\u0442\u0430\u043b\u044c\u043d\u044b\u0445 \u044f\u0437\u044b\u043a\u043e\u0432 \u043c\u043e\u0436\u043d\u043e \u0441\u0430\u043c\u043e\u0441\u0442\u043e\u044f\u0442\u0435\u043b\u044c\u043d\u043e […]<\/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-104737","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Lansarea sistemului de traducere automat\u0103 OpenNMT 2.28.0 | ProHoster","description":"A fost lansat\u0103 versiunea 0.28.0 a sistemului de traducere automat\u0103 OpenNMT (Open Neural Machine 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