{"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\/sk\/blog\/news\/vypusk-sistemy-mashinnogo-perevoda-opennmt-2-28-0","title":{"rendered":"Vydanie syst\u00e9mu strojov\u00e9ho prekladu OpenNMT 2.28.0","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Bola zverejnen\u00e1 verzia syst\u00e9mu strojov\u00e9ho prekladu OpenNMT 0.28.0 (Open Neural Machine Translation), ktor\u00fd vyu\u017e\u00edva met\u00f3dy strojov\u00e9ho u\u010denia. Na v\u00fdstavbu neur\u00f3novej siete projekt vyu\u017e\u00edva schopnosti kni\u017enice hlbok\u00e9ho strojov\u00e9ho u\u010denia TensorFlow. K\u00f3d modulov vyv\u00edjan\u00fdch projektom OpenNMT je nap\u00edsan\u00fd v jazyku Python a \u0161\u00edri sa pod licenciou MIT. Hotov\u00e9 modely s\u00fa pripraven\u00e9 pre anglick\u00fd, nemeck\u00fd a katal\u00e1nsky jazyk, pre ostatn\u00e9 jazyky je mo\u017en\u00e9 samostatne vytvori\u0165 model na z\u00e1klade s\u00faboru d\u00e1t z projektu OPUS (na u\u010denie syst\u00e9mu sa odovzd\u00e1vaj\u00fa dva s\u00fabory \u2014 jeden s vetami v p\u00f4vodnom jazyku a druh\u00fd s kvalitn\u00fdm prekladom t\u00fdchto viet do cie\u013eov\u00e9ho jazyka). <\/p>\n

Projekt sa vyv\u00edja za \u00fa\u010dasti spolo\u010dnosti SYSTRAN, \u0161pecializuj\u00facej sa na vytv\u00e1ranie n\u00e1strojov pre strojov\u00fd preklad, a skupiny v\u00fdskumn\u00edkov z Harvardu, ktor\u00ed vyv\u00edjaj\u00fa modely \u013eudsk\u00e9ho jazyka pre syst\u00e9my strojov\u00e9ho u\u010denia. Pou\u017e\u00edvate\u013esk\u00e9 rozhranie je maxim\u00e1lne zjednodu\u0161en\u00e9 a vy\u017eaduje len zadan\u00edm vstupn\u00e9ho s\u00faboru s textom a s\u00faboru na ulo\u017eenie v\u00fdsledku prekladu. Syst\u00e9m roz\u0161\u00edren\u00ed umo\u017e\u0148uje implementova\u0165 na b\u00e1ze OpenNMT dodato\u010dn\u00e9 funk\u010dnosti, napr\u00edklad autoreferovanie, klasifik\u00e1ciu textov a generovanie titulkov. <\/p>\n

Pou\u017eitie TensorFlow umo\u017e\u0148uje vyu\u017ei\u0165 mo\u017enosti GPU (na ur\u00fdchlenie procesu u\u010denia neur\u00f3novej siete). Na zjednodu\u0161enie distrib\u00facie produktu projekt vyv\u00edja aj samostatn\u00fa verziu preklada\u010da v jazyku C++ \u2014 CTranslate2, ktor\u00fd vyu\u017e\u00edva predtr\u00e9novan\u00e9 modely bez v\u00e4zby na \u010fal\u0161ie z\u00e1vislosti. <\/p>\n

V novej verzii bol pridan\u00fd parameter initial_learning_rate a implementovan\u00fdch nieko\u013eko nov\u00fdch argumentov (mha_bias a output_layer_bias) na nastavenie gener\u00e1tora modelov Transformer. Ostatn\u00e9 zmeny sa t\u00fdkaj\u00fa opravy ch\u00fdb.
\n
Zdroj: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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