{"id":3342,"date":"2022-10-12T11:48:05","date_gmt":"2022-10-12T11:48:05","guid":{"rendered":"https:\/\/edsweb.co.in\/idioma\/?p=3342"},"modified":"2022-10-12T11:48:16","modified_gmt":"2022-10-12T11:48:16","slug":"machine-translation-in-2017-its-getting-neural","status":"publish","type":"post","link":"https:\/\/www2.idioma.com\/sv\/maskinoversattning-i-2017-its-getting-neural","title":{"rendered":"Maskin\u00f6vers\u00e4ttning 2017: Det blir neuralt"},"content":{"rendered":"

\"\"<\/p>\n

I november 2016 h\u00e4nde n\u00e5got med den mest anv\u00e4nda \u00f6ppna plattformen f\u00f6r maskin\u00f6vers\u00e4ttning, Google Translate. Anv\u00e4ndare \u00f6ver hela v\u00e4rlden - fr\u00e4mst de som \u00f6vers\u00e4tter i kombinationer av engelska till kinesiska, spanska, franska, japanska, tyska, koreanska, portugisiska och turkiska - har m\u00e4rkt en stor f\u00f6rb\u00e4ttring av maskin\u00f6vers\u00e4ttningsresultaten som pl\u00f6tsligt \u00f6versatte hela meningar, arbetade med mycket bredare sammanhang och blev, ja, mer m\u00e4nskliga. Google sj\u00e4lva h\u00e4vdar att plattformen har f\u00f6rb\u00e4ttrats \"mer p\u00e5 en enda g\u00e5ng \u00e4n vad vi har sett under de senaste tio \u00e5ren tillsammans\". S\u00e5 vad h\u00e4nde?<\/p>\n

SMT vs. NMT<\/h3>\n

Kort sagt, neurala n\u00e4tverk och AI h\u00e4nde. I st\u00e4llet f\u00f6r att f\u00f6rlita sig p\u00e5 statistiska metoder som l\u00f6ser problem \"med v\u00e5ld\" (ju mer komplexa databaser och tillg\u00e4nglig datorkraft, desto b\u00e4ttre resultat), anv\u00e4nder neurala n\u00e4tverk artificiella neuroner i databehandling och imiterar l\u00f6st faktiska modeller av en biologisk hj\u00e4rna. Googles SMT-metoder (Statistical Machine Translation) imponerade p\u00e5 v\u00e4rlden genom sin f\u00f6rm\u00e5ga att \u00f6vers\u00e4tta ord och korta fraser med mer eller mindre acceptabel noggrannhet p\u00e5 \u00f6ver 100 spr\u00e5k (f\u00f6r n\u00e4rvarande 103 f\u00f6r att vara exakt). Men den nyligen implementerade neurala maskin\u00f6vers\u00e4ttningen g\u00e5r l\u00e4ngre \u00e4n s\u00e5. Med hj\u00e4lp av djupinl\u00e4rningsteknik antar den f\u00f6rst den mest relevanta varianten f\u00f6r \u00f6vers\u00e4ttning som passar sammanhanget i meningar snarare \u00e4n bara begr\u00e4nsade fraser, och omvandlar den sedan f\u00f6r att matcha m\u00e4nskligt tal och grammatik s\u00e5 mycket som m\u00f6jligt (vilket demonstreras i bilden ovan).<\/p>\n

Hur bra kan NMT bli<\/h3>\n

Naturligtvis blir neurala n\u00e4tverk b\u00e4ttre med tiden n\u00e4r de l\u00e4r sig och Googles NMT har fortfarande mycket att l\u00e4ra sig f\u00f6r att kunna matchaprofessionell m\u00e4nsklig \u00f6vers\u00e4ttning<\/a>, fr\u00e4mst f\u00f6r b\u00f6jda spr\u00e5k (det verkar som om latin och grekiska kommer att vara de sista som f\u00f6rsvinner). Men den senaste utvecklingen av tekniken visar p\u00e5 exponentiella f\u00f6rb\u00e4ttringar inom maskin\u00f6vers\u00e4ttning. Under de n\u00e4rmaste \u00e5ren kommer Google att finslipa sina NMT-resultat f\u00f6r alla de 103 spr\u00e5k som omfattas och implementera \u00f6vers\u00e4ttningsfunktionen i sj\u00e4lva DNA:t hos \"intelligenta\" onlineplattformar och appar.<\/p>\n

Eftersom det nu har g\u00e5tt 10 \u00e5r sedan Google Translate introducerades kommer det att bli intressant att se var tj\u00e4nsten kommer att befinna sig om ytterligare 10 \u00e5r och hur djupt den kommer att p\u00e5verka branschen f\u00f6r professionell m\u00e4nsklig \u00f6vers\u00e4ttning. Kommer m\u00e4nskliga \u00f6vers\u00e4ttare att bli m\u00e4nskliga redakt\u00f6rer med ytterligare n\u00f6dv\u00e4ndiga specialiseringar och f\u00e4rdigheter \u00e5r 2027?<\/p>","protected":false},"excerpt":{"rendered":"

I november 2016 h\u00e4nde n\u00e5got med den mest anv\u00e4nda \u00f6ppna maskin\u00f6vers\u00e4ttningsplattformen, Google Translate. Anv\u00e4ndare runt om i v\u00e4rlden - fr\u00e4mst de som \u00f6vers\u00e4tter i kombinationer av engelska till kinesiska, spanska, franska, japanska, tyska, koreanska, portugisiska och turkiska - har m\u00e4rkt en stor f\u00f6rb\u00e4ttring av maskin\u00f6vers\u00e4ttningsresultaten som pl\u00f6tsligt \u00f6versatte hela meningar, arbetade med ...<\/p>\n

Maskin\u00f6vers\u00e4ttning 2017: Det blir neuralt<\/span> L\u00e4s mer \"<\/a><\/p>","protected":false},"author":1,"featured_media":3346,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"categories":[9],"tags":[],"class_list":["post-3342","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-idioma"],"yoast_head":"\nMachine translation in 2017: It's getting neural - idioma<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www2.idioma.com\/sv\/maskinoversattning-i-2017-its-getting-neural\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Machine translation in 2017: It's getting neural - idioma\" \/>\n<meta property=\"og:description\" content=\"By November 2016, something happened to the most used open machine translation platform, Google Translate. 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