[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-192493-105":53,"doc-detail-192493-en":126},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","statistical-machine-translation","Statistical Machine Translation","","This document explores the concept of Statistical Machine Translation (SMT) through a visual presentation, likely for an academic or technical audience. The core of the presentation is a diagram illustrating the process of SMT, featuring a person working at a typewriter, representing the input for translation. This input is then processed through blocks labeled \"Human-translated documents,\" suggesting a corpus of parallel texts used for training the SMT model. The output is represented by a laptop, symbolizing the machine translation system. A prominent speech bubble features a thought process concerning translational ambiguity, specifically the word \"banco\" in Spanish, which can translate to \"bank\" or \"bench.\" The thought indicates that the SMT system needs to learn contextual nuances, as it correctly translates \"banco\" to \"bank\" when followed by \"de...\" but incorrectly translates it to \"bench\" in other contexts. The presentation aims to highlight the challenges and methodologies in building effective statistical machine translation systems, emphasizing the importance of large, high-quality parallel corpora and sophisticated statistical models to handle linguistic variations and ambiguities. The visual elements and the dialogue within the speech bubble serve to demystify the underlying principles of SMT and underscore the ongoing evolution of translation technology.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":51,"@type":70,"position":76},"https://docshare.wps.com/template/general/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/statistical-machine-translation/192493/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/statistical-machine-translation/192493.png","ImageObject",442,249,{"name":88,"@type":89},"Quinn","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-09-29","2026-09-03",true,{"@type":98,"interactionType":99,"userInteractionCount":76},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What is Statistical Machine Translation (SMT)?","Question",{"text":108,"@type":109},"Statistical Machine Translation (SMT) is a method of machine translation that relies on statistical models trained on large amounts of parallel text data to translate between languages. It learns translation patterns from existing human translations.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"What is the role of human-translated documents in SMT?",{"text":113,"@type":109},"Human-translated documents are crucial for SMT as they form the training corpus. The SMT system learns translation rules and probabilities by analyzing these parallel texts, enabling it to generate translations for new sentences.",{"name":115,"@type":106,"acceptedAnswer":116},"What challenge in machine translation is illustrated by the word \"banco\"?",{"text":117,"@type":109},"The example of the Spanish word \"banco\" illustrates the challenge of lexical ambiguity. \"Banco\" can mean \"bank\" or \"bench,\" and the SMT system must learn to disambiguate based on context to produce the correct translation.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},192493,1790162116,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":50,"category_name":51,"doc_title":59,"doc_description":61,"doc_content":60,"file_id":130,"file_url":131,"file_type":132,"file_size":133,"view_count":76,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":134,"language":135,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":61,"update_tm":139,"read_time":140},962075114765,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","cbCaipmbMuglS1Vw","https://ap.wps.com/l/cbCaipmbMuglS1Vw","pdf",884042,147,"English","# Statistical Machine Translation\n## Human-translated documents\n## The process of translation","[{\"question\":\"What is Statistical Machine Translation (SMT)?\",\"answer\":\"Statistical Machine Translation (SMT) is a method of machine translation that relies on statistical models trained on large amounts of parallel text data to translate between languages. It learns translation patterns from existing human translations.\"},{\"question\":\"What is the role of human-translated documents in SMT?\",\"answer\":\"Human-translated documents are crucial for SMT as they form the training corpus. The SMT system learns translation rules and probabilities by analyzing these parallel texts, enabling it to generate translations for new sentences.\"},{\"question\":\"What challenge in machine translation is illustrated by the word \\\"banco\\\"?\",\"answer\":\"The example of the Spanish word \\\"banco\\\" illustrates the challenge of lexical ambiguity. \\\"Banco\\\" can mean \\\"bank\\\" or \\\"bench,\\\" and the SMT system must learn to disambiguate based on context to produce the correct translation.\"}]","Statistical Machine Translation | PDF",1788416031,51]