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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 in182 languages; see below
OwnerMicrosoft
URLmicrosoft.com/translator
www.bing.com/translator
IPv6 supportYes
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 learningImpact on translation
Neural networks
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
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 SMTIn 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 alignmentSMT 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 modelingLanguage 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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Microsoft Translator
Type of site
Neural machine translation
Available inSee below
OwnerMicrosoft
URLwww.bing.com/translator/
IPv6 supportYes
RegistrationOptional
LaunchedJune 3, 2009; 17 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 July 2026, Microsoft Translator supports 182 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. Acehnese (Latin)[a]
  2. Afrikaans
  3. Albanian
  4. Amharic
  5. Arabic
  6. Arabic (Egyptian)[a]
  7. Arabic (Moroccan)[a]
  8. Arabic (Romanized)[a]
  9. Armenian
  10. Assamese
  11. Asturian[a]
  12. Azerbaijani
  13. Balinese[a]
  14. Bangla
  15. Bashkir
  16. Basque
  17. Batak Toba[a]
  18. Belarusian
  19. Bhojpuri
  20. Bikol[a]
  21. Bodo
  22. Bosnian
  23. Bulgarian
  24. Cantonese (Traditional)
  25. Catalan
  26. Cebuano[a]
  27. Chhattisgarhi
  28. Chinese (Literary)
  29. Chinese Simplified
  30. Chinese Traditional
  31. Corsican[a]
  32. Croatian
  33. Czech
  34. Danish
  35. Dari
  36. Divehi
  37. Dogri
  38. Dutch
  39. English
  40. English (United Kingdom)[a]
  41. Esperanto [a]
  42. Estonian
  43. Faroese
  44. Fijian
  45. Filipino
  46. Finnish
  47. French
  48. French (Canada)
  49. Frisian[a]
  50. Friulian[a]
  51. Galician
  52. Ganda
  53. Georgian
  54. German
  55. Greek
  56. Gujarati
  57. Haitian Creole
  58. Hausa
  59. Hebrew
  60. Hiligaynon[a]
  61. Hindi
  62. Hmong Daw
  63. Hungarian
  64. Iban[a]
  65. Icelandic
  66. Igbo
  67. Ilocano[a]
  68. Indonesian
  69. Inuinnaqtun
  70. Inuktitut
  71. Inuktitut (Latin)
  72. Irish
  73. Italian
  74. Jamaican Patois[a]
  75. Japanese
  76. Javanese[a]
  77. Kabuverdianu[a]
  78. Kannada
  79. Kapampangan[a]
  80. Kashmiri
  81. Kazakh
  82. Khmer
  83. Kinyarwanda
  84. Klingon (Latin)
  85. Klingon (pIqaD)[b]
  86. Konkani
  87. Korean
  88. Krio[a]
  89. Kurdish (Central)
  90. Kurdish (Northern)
  91. Kyrgyz
  92. Lao
  93. Latin[a]
  94. Latvian
  95. Ligurian (Genoese)[a]
  96. Limburgish[a]
  97. Lingala
  98. Lithuanian
  99. Lombard[a]
  100. Lower Sorbian
  101. Luxembourgish
  102. Macedonian
  103. Maithili
  104. Malagasy
  105. Malay
  106. Malayalam
  107. Maltese
  108. Manipuri[b]
  109. Marathi
  110. Marwari[a]
  111. Mauritian Creole[a]
  112. Minangkabau (Latin)[a]
  113. Mongolian (Cyrillic)
  114. Mongolian (Traditional)
  115. Myanmar (Burmese)
  116. Māori
  117. Nepali
  118. Norwegian
  119. Norwegian Nynorsk[a]
  120. Nyanja
  121. Occitan[a]
  122. Odia
  123. Papiamento[a]
  124. Pashto
  125. Persian
  126. Polish
  127. Portuguese (Brazil)
  128. Portuguese (Portugal)
  129. Punjabi
  130. Punjabi (Shahmukhi)[a]
  131. Querétaro Otomi
  132. Romanian
  133. Rundi
  134. Russian
  135. Samoan
  136. Sanskrit[a]
  137. Sardinian[a]
  138. Serbian (Cyrillic)
  139. Serbian (Latin)
  140. Sesotho
  141. Sesotho sa Leboa
  142. Setswana
  143. Seychelles French Creole[a]
  144. Shona
  145. Sicilian[a]
  146. Sindhi
  147. Sinhala
  148. Slovak
  149. Slovenian
  150. Somali
  151. Spanish
  152. Spanish (Mexico)[a]
  153. Sundanese[a]
  154. Swahili
  155. Swedish
  156. Tahitian
  157. Tajik[a]
  158. Tamil
  159. Tatar
  160. Telugu
  161. Tetum[a]
  162. Thai
  163. Tibetan
  164. Tigrinya
  165. Tok Pisin[a]
  166. Tongan
  167. Turkish
  168. Turkmen
  169. Ukrainian
  170. Upper Sorbian
  171. Urdu
  172. Uyghur
  173. Uzbek (Latin)
  174. Venetian[a]
  175. Vietnamese
  176. Waray[a]
  177. Welsh
  178. Xhosa
  179. Yiddish (Eastern)[a]
  180. Yoruba
  181. Yucatec Maya
  182. Zulu

Supported languages by text-to-speech

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As of July 2026, Microsoft Translate supports 84 languages for the text-to-speech tool.

  1. Afrikaans
  2. Amharic
  3. Arabic
  4. Arabic (Egyptian)[a]
  5. Arabic (Moroccan)[a]
  6. Assamese[a]
  7. Asturian[a]
  8. Bangla
  9. Belarusian[a]
  10. Bulgarian
  11. Cantonese (Traditional)
  12. Catalan
  13. Chinese (Literary)[b]
  14. Chinese Simplified
  15. Chinese Traditional
  16. Croatian
  17. Czech
  18. Danish
  19. Dutch
  20. English
  21. English (United Kingdom)[a]
  22. Estonian
  23. Filipino[b]
  24. Finnish
  25. French
  26. French (Canada)
  27. Galician[b]
  28. German
  29. Greek
  30. Gujarati
  31. Hebrew
  32. Hindi
  33. Hungarian
  34. Icelandic
  35. Indonesian
  36. Inuktitut
  37. Inuktitut (Latin)
  38. Irish
  39. Italian
  40. Japanese
  41. Javanese
  42. Kannada
  43. Kazakh
  44. Khmer
  45. Korean
  46. Lao
  47. Latvian
  48. Lithuanian
  49. Macedonian
  50. Malay
  51. Malayalam
  52. Maltese
  53. Marathi
  54. Myanmar (Burmese)
  55. Norwegian
  56. Pashto
  57. Persian
  58. Polish
  59. Portuguese (Brazil)
  60. Portuguese (Portugal)
  61. Romanian
  62. Russian
  63. Serbian (Cyrillic)[a]
  64. Sesotho[b]
  65. Setswana[b]
  66. Sinhala[b]
  67. Slovak
  68. Slovenian
  69. Somali[b]
  70. Spanish
  71. Spanish (Mexico)[b]
  72. Sundanese[a]
  73. Swahili[b]
  74. Swedish
  75. Tamil
  76. Telugu
  77. Thai
  78. Turkish
  79. Ukrainian
  80. Urdu
  81. Uzbek (Latin)
  82. Vietnamese
  83. Welsh
  84. Zulu[b]

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. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 Web only
  2. 1 2 3 4 5 6 7 8 9 10 11 12 Mobile app only
  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. 1 2 "Azure Data Marketplace- Microsoft Translator". Archived from the original on 2018-02-06. Retrieved 2014-12-08.
  3. 1 2 "Microsoft Translator- Languages". Microsoft. Retrieved January 6, 2023.
  4. ↑ "Microsoft Research- Arul Menezes".
  5. 1 2 "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. 1 2 "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 2024-12-19.
  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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