Ho lokolloa ha sistimi ea phetolelo ea mochini oa OpenNMT 2.28.0

Ho phatlalalitsoe ho lokolloa ha mochini oa OpenNMT 0.28.0 (Open Neural Machine Translation), o sebelisang mekhoa ea ho ithuta ka mochini. Ho aha marang-rang a marang-rang, morero ona o sebelisa bokhoni ba laeborari ea ho ithuta ea mochini e tebileng ea TensorFlow. Khoutu ea li-module tse ntlafalitsoeng ke projeke ea OpenNMT e ngotsoe ka Python mme e ajoa tlasa laesense ea MIT. Mefuta e lokiselitsoeng e lokiselitsoe lipuo tsa Senyesemane, Sejeremane le Secatalan; bakeng sa lipuo tse ling, o ka iketsetsa mohlala o thehiloeng ho data e tsoang ho projeke ea OPUS (bakeng sa koetliso, lifaele tse peli li fetisetsoa tsamaisong - e 'ngoe e nang le lipolelo ho puo ea mohloli, 'me ea bobeli e na le phetolelo ea boleng bo holimo ea lipolelo tsena puong eo ho fetoleloang ho eona ).

Morero o ntse o ntlafatsoa ka ho kenya letsoho ha SYSTRAN, k'hamphani e sebetsanang ka ho khetheha le ho theha lisebelisoa tsa ho fetolela ka mochini, le sehlopha sa bafuputsi ba Harvard ba nts'etsapele mehlala ea lipuo tsa batho bakeng sa litsamaiso tsa ho ithuta ka mochini. Sehokelo sa mosebelisi se nolofalitsoe ka hohle kamoo ho ka khonehang mme se hloka feela ho hlakisa faele e kentsoeng ka mongolo le faele ho boloka sephetho sa phetolelo. Sistimi ea katoloso e etsa hore ho khonehe ho kenya tšebetsong ts'ebetso e eketsehileng e ipapisitseng le OpenNMT, mohlala, ho akaretsa ka boits'oaro, ho hlopha mongolo le tlhahiso ea subtitle.

Tšebeliso ea TensorFlow e u lumella ho sebelisa bokhoni ba GPU (ho potlakisa ts'ebetso ea ho koetlisa marang-rang a marang-rang. Ho nolofatsa kabo ea sehlahisoa, morero o boetse o hlahisa phetolelo e ikemetseng ea mofetoleli ho C ++ - CTranslate2 , e sebelisang mehlala e koetlisitsoeng esale pele ntle le ho bua ka lintho tse ling tse itšetlehileng ka tsona.

Phetolelo e ncha e eketsa paramethara ea_learning_rate mme e sebelisa likhang tse 'maloa tse ncha (mha_bias le output_layer_bias) ho lokisa jenereithara ea mohlala oa Transformer. Tse ling kaofela li tšoauoa ka ho lokisa liphoso.

Source: opennet.ru

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