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Microsoft Translator

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Microsoft Translator
Logo and favicon of Microsoft Translator, which appears along the title in the web browser
Type of site
Machine translation
Available insee below
OwnerMicrosoft
URLmicrosoft.com/translator
www.bing.com/translator
RegistrationOptional
Current statusActive

Microsoft Translator or Bing Translator is a multilingual machine translation cloud service provided by Microsoft. Microsoft Translator is a part of Microsoft Cognitive Services[1] and integrated across multiple consumer, developer, and enterprise products, including Bing, Microsoft Office, SharePoint, Microsoft Edge, Microsoft Lync, Yammer, Skype Translator, Visual Studio, and Microsoft Translator apps for Windows, Windows Phone, iPhone and Apple Watch, and Android phone and Android Wear.

Microsoft Translator also offers text and speech translation through cloud services for businesses. Service for text translation via the Translator Text API ranges from a free tier supporting two million characters per month to paid tiers supporting billions of characters per month.[2] Speech translation via Microsoft Speech services is offered based on the time of the audio stream.

The service supports text translation between many languages and language varieties. It also supports several speech translation systems that currently power the Microsoft Translator live conversation feature, Skype Translator, and Skype for Windows Desktop, and the Microsoft Translator Apps for iOS and Android.[3]

Development

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History

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The first version of Microsoft's machine translation system was developed between 1999 and 2000 within Microsoft Research. This system was based on semantic predicate-argument structures known as logical forms (LF) and was spun from the grammar correction feature developed for Microsoft Word. This system was eventually used to translate the entire Microsoft Knowledge Base into Spanish, French, German, and Japanese.[4]

Microsoft's approach to machine translation, like most modern machine translation systems, is "data driven":[5] rather than relying on writing explicit rules to translate natural language, algorithms are trained to understand and interpret translated parallel texts, allowing them to automatically learn how to translate new natural language text. Microsoft's experience with the LF system led directly to a treelet translation system that simplified the LF to dependency trees and eventually to an order template model, significantly improving in speed and enabling the incorporation of new target languages. [citation needed]

The consumer-facing translation site known as Bing Translator (previously known as Windows Live translator) was launched in 2007 and provides free text and website translations on the web. Text is translated directly within the Bing Translator webpage while websites are translated through the Bilingual Viewer tools.[citation needed]

In 2011, the service was extended to include numerous Microsoft Translator products through a cloud-based application programming interface, which supports products available to both consumer and enterprise users. An additional speech translation capability was introduced in March 2016.[6]

In May 2018, an update to the API was introduced. This new version offered neural machine translation as the default method of translating. In addition to translation, the new version features transliteration and a bilingual dictionary to look up words to find alternative translations and view examples in sentences.[7]

Speech translation was integrated into Microsoft Speech services in September 2018, providing end-to-end speech, speech-to-text, and text-to-speech translation.[citation needed]

Translation methodology and research

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Microsoft Translator uses machine translation to create instantaneous translations from one natural language to another. This system is based on four distinct areas of computer learning research seen below.[5]

Type of learning Impact on translation
Neural networks
Neural machine translation		 Neural networks try to mimic how the brain works to translate between languages. At a high level, neural network translation works in two stages. First, a first stage models the word that needs to be translated based on the context of this word (and its possible translations) within the full sentence. Second, the neural network translates this word model (not the word itself but the model the neural networks built of it), within the context of the sentence, into the other language.[8] Neural machine translation is the default translation method for the Microsoft Translator API.
Syntax-based SMT
Main article: Statistical machine translation
 Syntax-based translation is based on the idea of translating syntactic units, rather than a word or string of words. Microsoft has used syntax-based SMT to translate much of its computer-related texts from English into multiple target languages. Ongoing research in this area has produced improvements in word inflections and word ordering.
Phrase-based SMT In phrase-based SMT, the machine learns correspondence between languages from parallel text without the aid of linguist knowledge. This produces better translations in less time than other systems.
Bitext word alignment SMT systems rely on existing translated data to learn how to automatically translate from one language to another. To train the systems, identifying word correspondences (or word alignments) is crucial. Microsoft has developed work in both discriminative[9] and generative[10] approaches to word alignment, resulting in faster algorithms and higher quality and translations.
Language modeling Language modeling uses n-gram models to construct comprehensible translations in the target language. This ensures that the output translation is fluent and readable.

Accuracy

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The quality of Microsoft Translator's machine translation outputs are evaluated using a method called the BLEU score.[11]

BLEU (Bilingual Evaluation Understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to another. Quality is considered to be the correspondence between a machine's output and that of a human. BLEU was one of the first metrics to achieve a high correlation with human judgments of quality, and remains one of the most popular automated and inexpensive metrics.

Because machine translation is based on statistical algorithms rather than human translators, the automatic translations it produces are not always entirely accurate. Microsoft Translator has introduced various feedback features, such as the Collaborative Translation Framework, into its products to allow users to suggest alternative translations. These alternative translations are then integrated into the Microsoft Translator algorithms to improve future translations.

In November 2016, Microsoft Translator introduced translation using deep neural networks in nine of its highest-traffic languages, including all of its speech languages and Japanese. Neural networks provide better translation than industry standard statistical machine learning.[12]

Core products

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Microsoft Translator is a cloud-based API that is integrated into numerous Microsoft products and services.[13] The Translator API can be used on its own and can be customized for use in a pre-publishing or post-publishing environment. The API, which is available through subscription, is free for lower translation volumes, and is charged according to a tiered payment system for volumes exceeding two million characters per month.[2] The remaining core products are available for free.

Microsoft Translator cloud translation

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The Microsoft Translator is a cloud-based automatic translation service that can be used to build applications, websites, and tools requiring multi-language support.

  • Text translation: The Microsoft Translator Text API can be used to translate text into any of the languages supported by the service.
  • Speech translation: Microsoft Translator is integrated into Microsoft Speech services which is an end-to-end REST based API that can be used to build applications, tools, or any solution requiring multi-languages speech translation. Speech to speech translation is available to or from any of the conversation languages, and speech to text translation is available from the conversation languages into any of the Microsoft Translator-supported language systems.

Custom Translator

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Custom Translator is a feature of the Microsoft Translator services that allows enterprises, app developers, and language service providers to build neural translation systems that understand the terminology used in their own business and industry. The customized translations can then be delivered into existing applications, workflows and websites using a normal call to the Microsoft Translator API. Custom Translator can be used when translating text with the Microsoft Translator Text API and when translating speech with Microsoft Speech services.[14]

Live feature

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A personal universal translator that enables up to 500 people to have live, multi-device, multi-language, in-person translated conversations.[15] This feature is currently free and available in the Microsoft Translator apps (Android, iOS or Windows) and from the Microsoft Translator website.

Microsoft Translator Hub

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The Microsoft Translator Hub allows enterprises and language service providers to build their own translation systems that understand business- and industry-specific terminology.[16] The Hub can also be used in conjunction with the CTF, allowing administrators to approve CTF results and add them directly to the Hub. The Microsoft Translator Hub is only available for statistical machine translation and cannot be used with the newest version of the Microsoft Translator API.

The Hub has also been used for language preservation, allowing communities to create their own language translation systems for language and cultural preservation.[17] The Hub has been used to create translation systems for languages such as Hmong, Mayan, Nepali, and Welsh.

Multilingual App Toolkit (MAT)

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The Multilingual App Toolkit (MAT) is an integrated Visual Studio tool, which allows developers to streamline localization workflows of their Windows, Windows Phone and desktop apps.[18] MAT improves localization of file management, translation support, and editing tools.

Bing Microsoft Translator web app

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Main article: Bing (search engine) § Translator
Microsoft Translator
Type of site
Neural machine translation
Available inSee below
OwnerMicrosoft
URLwww.bing.com/translator/
RegistrationOptional
LaunchedJune 3, 2009; 15 years ago (2009-06-03) (as Live Search Translator)
Current statusActive

Bing Microsoft Translator (previously Live Search Translator, Windows Live Translator, and Bing Translator)[19] is a user-facing translation portal provided by Microsoft as part of its Bing services to translate texts or entire web pages into different languages. All translation pairs are powered by the Microsoft Translator, a neural machine translation platform and web service, developed by Microsoft Research, as its backend translation software. Two transliteration pairs (between simplified Chinese and traditional Chinese) are provided by Microsoft's Windows International team.[20]

The Bilingual Viewer showing the English translation of the French Wikipedia's main page

Bing Translator can translate phrases entered by the user or acquire a link to a web page and translate it entirely. When translating an entire web page, or when the user selects "Translate this page" in Bing search results, the Bilingual Viewer is shown, which allows users to browse the original web page text and translation in parallel, supported by synchronized highlights, scrolling, and navigation.[21] Four Bilingual Viewer layouts are available:[21]

  • Side by side
  • Top and bottom
  • Original with hover translation
  • Translation with hover original

Bing Translator integrates with several other Microsoft products. The following is a table of products into which Bing Translator could be integrated:

Integrates into Means of integration
Bing Instant Answers Already integrated
Internet Explorer An Accelerator for Internet Explorer 8 or higher

Supported products

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Through its core product offerings, Microsoft Translator supports the translation features of many Microsoft products at the consumer and enterprise levels. These products fall broadly into three categories[22]—communication products, Microsoft Office, and apps.

Deprecated products

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Collaborative Translation Framework (CTF)

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The Collaborative Translation Framework (CTF) is an extension of the Microsoft Translator API that allows post-publishing improvement of translated text.[23] By using the CTF, readers have the ability to suggest alternative translations to those provided by the API, or vote on previously offered alternatives. This information is then delivered to the API to improve future translations.

Translator Web Widget

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The Translator Web Widget is a translation tool that can be added to web pages by pasting a predefined snippet of JavaScript code into the page.[24] The web widget is offered for free by Microsoft, and supports both pre-publishing customized translations using the Translator Hub, and post-publishing improvements using the Collaborative Translation Framework.

Supported languages

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As of November 2024, Microsoft Translator supports 134 languages and language varieties.[3][25] The list of supported languages is available at the Microsoft Translator website and can also be retrieved programmatically through the cloud services.[26]

  1. Afrikaans
  2. Albanian
  3. Amharic
  4. Arabic
  5. Armenian
  6. Assamese
  7. Azerbaijani
  8. Bangla
  9. Bashkir
  10. Basque
  11. Bhojpuri
  12. Bodo
  13. Bosnian
  14. Bulgarian
  15. Cantonese (Traditional)
  16. Catalan
  17. Chhattisgarhi
  18. Chinese (Literary)
  19. Chinese (Simplified)
  20. Chinese (Traditional)
  21. Croatian
  22. Czech
  23. Danish
  24. Dari
  25. Divehi
  26. Dogri
  27. Dutch
  28. English
  29. English (United Kingdom)
  30. Estonian
  31. Faroese
  32. Fijian
  33. Filipino
  34. Finnish
  35. French (France)
  36. French (Canada)
  37. Galician
  38. Ganda
  39. Georgian
  40. German
  41. Greek
  42. Gujarati
  43. Haitian Creole
  44. Hausa
  45. Hebrew
  46. Hindi
  47. Hmong Daw
  48. Hungarian
  49. Icelandic
  50. Igbo
  51. Indonesian
  52. Inuinnaqtun
  53. Inuktitut
  54. Inuktitut (Latin)
  55. Irish
  56. Italian
  57. Japanese
  58. Kannada
  59. Kashmiri
  60. Kazakh
  61. Khmer
  62. Kinyarwanda
  63. Klingon (Latin)
  64. Konkani
  65. Korean
  66. Kurdish (Central)
  67. Kurdish (Northern)
  68. Kyrgyz
  69. Lao
  70. Latvian
  71. Lingala
  72. Lithuanian
  73. Lower Sorbian
  74. Macedonian
  75. Maithili
  76. Malagasy
  77. Malay
  78. Malayalam
  79. Maltese
  80. Marathi
  81. Mongolian (Cyrillic)
  82. Mongolian (Traditional)
  83. Myanmar (Burmese)
  84. Māori
  85. Nepali
  86. Norwegian
  87. Nyanja
  88. Odia
  89. Pashto
  90. Persian
  91. Polish
  92. Portuguese (Brazil)
  93. Portuguese (Portugal)
  94. Punjabi (Gurmukhi)
  95. Querétaro Otomi
  96. Romanian
  97. Rundi
  98. Russian
  99. Samoan
  100. Serbian (Cyrillic)
  101. Serbian (Latin)
  102. Sesotho
  103. Sesotho sa Leboa
  104. Setswana
  105. Shona
  106. Sindhi
  107. Sinhala
  108. Slovak
  109. Slovenian
  110. Somali
  111. Spanish
  112. Swahili
  113. Swedish
  114. Tahitian
  115. Tamil
  116. Tatar
  117. Telugu
  118. Thai
  119. Tibetan
  120. Tigrinya
  121. Tongan
  122. Turkish
  123. Turkmen
  124. Ukrainian
  125. Upper Sorbian
  126. Urdu
  127. Uyghur
  128. Uzbek (Latin)
  129. Vietnamese
  130. Welsh
  131. Xhosa
  132. Yoruba
  133. Yucatec Maya
  134. Zulu

Languages formerly in development and beta version

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As of November 2024, Microsoft Translator has a beta version only time of depends in the 100+ languages there are available in Microsoft.

  • * indicates that the language is now available on Microsoft Translator.
  1. Abkhaz BETA
  2. Acehnese (Latin Script)
  3. Adyghe BETA
  4. Afar BETA
  5. Ainu
  6. Arabic (Egyptian)
  7. Asturian
  8. Avar
  9. Aymara BETA
  10. Balinese
  11. Bambara BETA
  12. Baoulé
  13. Batak Karo
  14. Batak Toba
  15. Belarusian BETA
  16. Bemba
  17. Betawi
  18. Bikol
  19. Buryat
  20. Cebuano
  21. Chamorro
  22. Cocama
  23. Corsican
  24. Crimean Tatar (Cyrillic)
  25. Crimean Tatar (Latin)
  26. Cuyonon
  27. Deccani
  28. Dinka
  29. Dombe
  30. Dzongkha
  31. Emerillon
  32. Esperanto
  33. Ewe
  34. Fang
  35. Fon
  36. Frisian
  37. Friulian
  38. Fulani
  39. Gagauz BETA
  40. Ghomala'
  41. Guadeloupean Creole
  42. Haryanvi
  43. Herero
  44. Hiligaynon
  45. Hunsrik
  46. Iban
  47. Ilocano
  48. Ingush BETA
  49. Jamaican Patois
  50. Javanese (Traditional)
  51. Javanese (Indonesian script)
  52. Jingpo
  53. Kabuverdianu
  54. Kalaallisut
  55. Kapampangan
  56. Kikongo
  57. Kituba
  58. Koryak
  59. Krio
  60. Latin BETA
  61. Ligurian
  62. Limburgish
  63. Lombard
  64. Luo
  65. Luxembourgish
  66. Madurese
  67. Makassar
  68. Mapuche
  69. Marshallese
  70. Marwari (India)
  71. Mauritian Creole
  72. Meadow Mari BETA
  73. Minang
  74. Moroccan Arabic
  75. Nahuatl (Eastern Huasteca)
  76. Nepalbhasa (Newari)
  77. NKo
  78. Norwegian (Nynorsk)
  79. Nuer
  80. Occitan
  81. Okinawan
  82. Ossetian BETA
  83. Pangasinan
  84. Papiamento
  85. Pohnpeian
  86. Punjabi (Shahmukhi)
  87. Q'eqchi'
  88. Quechua
  89. Quorato Spanish Creole
  90. Rarotongan
  91. Romani
  92. Sami (North)
  93. Samogitian
  94. Sango
  95. Sanskrit
  96. Santali
  97. Sardinian
  98. Scots Gaelic
  99. Seediq
  100. Seselwa Creole French
  101. Shan
  102. Siberian Tatar BETA
  103. Sicilian
  104. Standard Arabic
  105. Sundanese
  106. Susu
  107. Tajik
  108. Tamazight
  109. Tamazight (Tifinagh)
  110. Tausug
  111. Tetun
  112. Tok Pisin
  113. Tuvan BETA
  114. Twi
  115. Venda BETA
  116. Venetian
  117. Waray
  118. Wolof
  119. Xamtanga
  120. Yakut BETA
  121. Yiddish
  122. Zapotec
  123. Zeelandic
  124. Zhuang

Community partners

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Microsoft Translator has engaged with community partners to increase the number of languages and to improve overall language translation quality. Below is a list of community partners that Microsoft Translator has teamed with.[27]

Additionally, Microsoft has teamed with the Klingon Language Institute, which promotes the constructed language, Klingon, which is used within the fictional Star Trek universe produced by Paramount and CBS Studios. Klingon has been supported by Microsoft Translator since May 2013.[28]

See also

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References

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  1. ^ Carmen., Steiner (2000). Pilotstudie: über die Funktion des Anhebens der Augenbrauen in der Deutschschweizerischen Gebärdensprache DSGS. Verein zur Unterstützung der Gebärdensprache der Gehörlosen. OCLC 81702109.
  2. ^ a b "Azure Data Marketplace- Microsoft Translator". Archived from the original on 2018-02-06. Retrieved 2014-12-08.
  3. ^ a b "Microsoft Translator- Languages". Microsoft. Retrieved January 6, 2023.
  4. ^ "Microsoft Research- Arul Menezes".
  5. ^ a b "Microsoft Research- Machine Translation".
  6. ^ "Microsoft Translator brings end-to-end speech translation to everyone with the world's first Speech Translation API".
  7. ^ "Microsoft Translator- Translator Text API". Microsoft. Archived from the original on 2019-09-02.
  8. ^ "What is neural network based translation?". Archived from the original on 2021-02-08. Retrieved 2016-11-28.
  9. ^ "A Discriminative Framework for Bilingual Word Alignment" (PDF). Archived from the original (PDF) on 2008-07-20.
  10. ^ "Using Word Dependent Transition Models in HMM based Word Alignment for Statistical Machine Translation" (PDF).
  11. ^ "Microsoft Translator Hub: Discussion of BLEU Score". 23 May 2013.
  12. ^ "Microsoft Translator launching Neural Network based translations for all its speech languages". 16 November 2016.
  13. ^ "Microsoft Translator- Products". Microsoft.
  14. ^ "Microsoft Translator- Customization". Microsoft.
  15. ^ "Microsoft Translator live feature". Microsoft. 18 July 2023.
  16. ^ "Microsoft Translator- Translator Hub". Microsoft.
  17. ^ "Where Language Meets the World: Microsoft Translator Hub". YouTube. 4 September 2014. Archived from the original on 2021-12-20.
  18. ^ "Microsoft Translator- Multilingual App Toolkit". Microsoft.
  19. ^ Antoniou, Grigoris; Grobelnik, Marko; Simperl, Elena; Parsia, Bijan; Plexousakis, Dimitris; de Leenheer, Pieter; Pan, Jeff Z. (2011). The Semantic Web: Research and Applications. Berlin: Springer Science+Business Media. p. 341. ISBN 9783642210334.
  20. ^ "Translation powered by....Microsoft Translator!". Microsoft Translator (and Bing Translator) Official Team Blog. Microsoft Corporation. 8 September 2008. Retrieved 21 October 2010.
  21. ^ a b "About Bing Translator". Bing Translator. Microsoft. Retrieved 20 December 2014.
  22. ^ "Microsoft Translator- Products". Microsoft.
  23. ^ "Microsoft Translator- Collaborative Translation Framework". Microsoft. Archived from the original on 30 March 2015.
  24. ^ "Microsoft Translator- Translator Web Widget". Microsoft.
  25. ^ "Search Microsoft Translator". www.bing.com. Retrieved 2024-10-31.
  26. ^ "Translator Language Codes". 18 July 2023.
  27. ^ "Translator Community Partners". Microsoft.
  28. ^ "New Bing Translator Option Lets You Translate... Klingon". 14 May 2013.
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SW development

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