{"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\/da\/blog\/news\/vypusk-sistemy-mashinnogo-perevoda-opennmt-2-28-0","title":{"rendered":"Udgivelse af overs\u00e6ttelsessystemet OpenNMT 2.28.0","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Udgaven af OpenNMT 0.28.0 (Open Neural Machine Translation), der anvender metoder fra maskinl\u00e6ring, er blevet offentliggjort. Til konstruktion af det neurale netv\u00e6rk bruger projektet mulighederne i TensorFlow-biblioteket til dyb l\u00e6ring. Koden til de moduler, som OpenNMT-projektet udvikler, er skrevet i Python og distribueres under MIT-licensen. F\u00e6rdige modeller er forberedt til engelsk, tysk og katalansk, mens der for andre sprog kan oprettes en model selvst\u00e6ndigt baseret p\u00e5 datas\u00e6ttet fra projektet OPUS (for at tr\u00e6ne systemet overf\u00f8res to filer \u2014 en med s\u00e6tninger p\u00e5 kildesproget og den anden med kvalitetsovers\u00e6ttelser af disse s\u00e6tninger til m\u00e5lsproget). <\/p>\n

Projektet udvikles i samarbejde med virksomheden SYSTRAN, der er specialiseret i udvikling af maskinovers\u00e6ttelsesv\u00e6rkt\u00f8jer, og en gruppe forskere fra Harvard, som arbejder med sprogmodeller til systemer til maskinl\u00e6ring. Brugergr\u00e6nsefladen er maksimalt forenklet og kr\u00e6ver kun angivelse af inputfilen med teksten og en fil til at gemme overs\u00e6ttelsesresultatet. Udvidelsessystemet giver mulighed for at implementere ekstra funktionalitet baseret p\u00e5 OpenNMT, s\u00e5som automatisk referering, klassifikation af tekster og generering af undertekster. <\/p>\n

Anvendelsen af TensorFlow g\u00f8r det muligt at udnytte GPU'er (til at accelerere tr\u00e6ningsprocessen af det neurale netv\u00e6rk). For at forenkle distributionen af produktet udvikles der ogs\u00e5 en selvforsynende version af translatoren i C++ \u2014 CTranslate2, der bruger forudtr\u00e6nede modeller uden afh\u00e6ngighed af ekstra komponenter. <\/p>\n

I den nye version er initial_learning_rate-parameteren tilf\u00f8jet, og flere nye argumenter (mha_bias og output_layer_bias) er implementeret til konfiguration af Transformer-modellerne. Derudover er der rettet nogle fejl.
\n
Kilde: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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