Google Translate

Google Translate
Google Translate homepage
Type of site
Machine translation
Available in 103 languages, see below
Owner Google
Commercial Yes
Registration Optional
Users Over 200 million people daily
Launched April 28, 2006 (2006-04-28) (as statistical machine translation)[1]
November 15, 2016 (2016-11-15) (as neural machine translation)[2]
Current status Active

Google Translate is a free multilingual machine translation service developed by Google, to translate text. It offers a website interface, mobile apps for Android and iOS, and an API that helps developers build browser extensions and software applications. Google Translate supports over 100 languages at various levels and as of May 2017, serves over 500 million people daily.

Launched in April 2006 as a statistical machine translation service, it used United Nations and European Parliament transcripts to gather linguistic data. Rather than translating languages directly, it first translates text to English and then to the target language. During a translation, it looks for patterns in millions of documents to help decide on the best translation. Its accuracy has been criticized and ridiculed on several occasions. In November 2016, Google announced that Google Translate would switch to a neural machine translation engine - Google Neural Machine Translation (GNMT) - which translates "whole sentences at a time, rather than just piece by piece. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar". Originally only enabled for a few languages in 2016, GNMT is gradually being used for more languages.


Google Translate can translate multiple forms of text and media, including text, speech, images, sites, or real-time video, from one language to another.[3][4] It supports over 100 languages at various levels[5] and as of May 2017, serves over 500 million people daily.[6] For some languages, Google Translate can pronounce translated text,[7] highlight corresponding words and phrases in the source and target text, and act as a simple dictionary for single-word input. If "Detect language" is selected, text in an unknown language can be automatically identified. If a user enters a URL in the source text, Google Translate will produce a hyperlink to a machine translation of the website.[8] Users can save translations in a "phrasebook" for later use.[9] For some languages, text can be entered via an on-screen keyboard, through handwriting recognition, or speech recognition.[10][11]

Browser integration

Google Translate is available in some web browsers as an optional downloadable extension that can run the translation engine.[12] In February 2010, Google Translate was integrated into the Google Chrome browser by default, for optional automatic webpage translation.[13]

Mobile apps

Google Translate
iOS app of Google Translate, showing a Filipino translation of "Good"
Developer(s) Google
Stable release(s) [±]
Android 5.22.0.RC04.206832067 / August 1, 2018 (2018-08-01)[14]
iOS 5.21.1 / August 9, 2018 (2018-08-09)[15]
Size 13.69 MB (Android)
64.5 MB (iOS)
Type Machine translation

The Google Translate app for Android and iOS supports more than 100 languages and can translate 37 languages via photo, 32 via voice in "conversation mode", and 27 via real-time video in "augmented reality mode".[16]

The Android app was released in January 2010, and for iOS on February 8, 2011.[17]

A January 2011 Android version experimented with a "Conversation Mode" that allowed users to communicate fluidly with a nearby person in another language.[18] Originally limited to English and Spanish, the feature received support for 12 new languages, still in testing, the following October.[19]

In January 2015, the apps gained the ability to translate physical signs in real time using the device's camera, as a result of Google's acquisition of the Word Lens app.[20][21] The original January launch only supported seven languages, but a July update added support for 20 new languages, and also enhanced the speed of Conversation Mode translations.[22][23]


In May 2011, Google announced that the Google Translate API for software developers had been deprecated and would cease functioning.[24] The Translate API page stated the reason as "substantial economic burden caused by extensive abuse" with an end date set for December 1, 2011.[25] In response to public pressure, Google announced in June 2011 that the API would continue to be available as a paid service.[26]

Because the API was used in numerous third-party websites and apps, the original decision to deprecate it led some developers to criticize Google and question the viability of using Google APIs in their products.[27][28]

Google Assistant

Google Translate also provides translations for Google Assistant and the devices that Google Assistant runs on such as Google Home and Google Pixel Buds.

Supported languages

The following languages are supported in Google Translate.[5]

  1. 1st stage
    1. English to and from German
    2. English to and from Spanish
    3. English to and from French
  2. 2nd stage
    1. English to and from Portuguese
  3. 3rd stage
    1. English to and from Italian
  4. 4th stage
    1. English to and from Chinese (Simplified)
    2. English to and from Japanese
    3. English to and from Korean
  5. 5th stage (launched April 28, 2006)[29]
    1. English to and from Arabic
  6. 6th stage (launched December 16, 2006)
    1. English to and from Russian
  7. 7th stage (launched February 9, 2007)
    1. English to and from Chinese (Traditional)
    2. Chinese (Simplified to and from Traditional)
  8. 8th stage (all 25 language pairs use Google's machine translation system) (launched October 22, 2007)
    1. English to and from Dutch
    2. English to and from Greek
  9. 9th stage
    1. English to and from Hindi
  10. 10th stage (as of this stage, translation can be done between any two languages, using English as an intermediate step, if needed) (launched May 8, 2008)
    1. Bulgarian
    2. Croatian
    3. Czech
    4. Danish
    5. Finnish
    6. Norwegian
    7. Polish
    8. Romanian
    9. Swedish
  11. 11th stage (launched September 25, 2008)
    1. Catalan
    2. Filipino
    3. Hebrew
    4. Indonesian
    5. Latvian
    6. Lithuanian
    7. Serbian
    8. Slovak
    9. Slovene
    10. Ukrainian
    11. Vietnamese
  12. 12th stage (launched January 30, 2009)
    1. Albanian
    2. Estonian
    3. Galician
    4. Hungarian
    5. Maltese
    6. Thai
    7. Turkish
  13. 13th stage (launched June 19, 2009)
    1. Persian
  14. 14th stage (launched August 24, 2009)
    1. Afrikaans
    2. Belarusian
    3. Icelandic
    4. Irish
    5. Macedonian
    6. Malay
    7. Swahili
    8. Welsh
    9. Yiddish
  15. 15th stage (launched November 19, 2009)
    1. The Beta stage is finished. Users can now choose to have the romanization written for Chinese, Japanese, Korean, Russian, Ukrainian, Belarusian, Bulgarian, Greek, Hindi and Thai. For translations from Arabic, Persian and Hindi, the user can enter a Latin transliteration of the text and the text will be transliterated to the native script for these languages as the user is typing. The text can now be read by a text-to-speech program in English, Italian, French and German.
  16. 16th stage (launched January 30, 2010)
    1. Haitian Creole
  17. 17th stage (launched April 2010)
    1. Speech program launched in Hindi and Spanish.
  18. 18th stage (launched May 5, 2010)
    1. Speech program launched in Afrikaans, Albanian, Catalan, Chinese (Mandarin), Croatian, Czech, Danish, Dutch, Finnish, Greek, Hungarian, Icelandic, Indonesian, Latvian, Macedonian, Norwegian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Swahili, Swedish, Turkish, Vietnamese and Welsh (based on eSpeak)[30]
  19. 19th stage (launched May 13, 2010)[31]
    1. Armenian
    2. Azerbaijani
    3. Basque
    4. Georgian
    5. Urdu
  20. 20th stage (launched June 2010)
    1. Provides romanization for Arabic.
  21. 21st stage (launched September 2010)
    1. Allows phonetic typing for Arabic, Greek, Hindi, Persian, Russian, Serbian and Urdu.
    2. Latin[32]
  22. 22nd stage (launched December 2010)
    1. Romanization of Arabic removed.
    2. Spell check added.
    3. For some languages, Google replaced text-to-speech synthesizers from eSpeak's robot voice to native speaker's nature voice technologies made by SVOX[33] (Chinese, Czech, Danish, Dutch, Finnish, Greek, Hungarian, Norwegian, Polish, Portuguese, Russian, Swedish, Turkish). Also the old versions of French, German, Italian and Spanish. Latin uses the same synthesizer as Italian.
    4. Speech program launched in Arabic, Japanese and Korean.
  23. 23rd stage (launched January 2011)
    1. Choice of different translations for a word.
  24. 24th stage (launched June 2011)
    1. 5 new Indic languages (in alpha) and a transliterated input method:[34]
    2. Bengali
    3. Gujarati
    4. Kannada
    5. Tamil
    6. Telugu
  25. 25th stage (launched July 2011)
    1. Translation rating introduced.
  26. 26th stage (launched January 2012)
    1. Dutch male voice synthesizer replaced with female.
    2. Elena by SVOX replaced the Slovak eSpeak voice.
    3. Transliteration of Yiddish added.
  27. 27th stage (launched February 2012)
    1. Speech program launched in Thai.
    2. Esperanto[35]
  28. 28th stage (launched September 2012)
    1. Lao
  29. 29th stage (launched October 2012)
    1. Transliteration of Lao added. (alpha status)[36][37]
  30. 30th stage (launched October 2012)
    1. New speech program launched in English.
  31. 31st stage (launched November 2012)
    1. New speech program in French, Spanish, Italian and German.
  32. 32nd stage (launched March 2013)
    1. Phrasebook added.
  33. 33rd stage (launched April 2013)
    1. Khmer
  34. 34th stage (launched May 2013)
    1. Bosnian
    2. Cebuano
    3. Hmong
    4. Javanese
    5. Marathi
  35. 35th stage (launched May 2013)
    1. 16 additional languages can be used with camera-input: Bulgarian, Catalan, Croatian, Danish, Estonian, Finnish, Hungarian, Indonesian, Icelandic, Latvian, Lithuanian, Norwegian, Romanian, Slovak, Slovenian and Swedish.
  36. 36th stage (launched December 2013)
    1. Hausa
    2. Igbo
    3. Maori
    4. Mongolian
    5. Nepali
    6. Punjabi
    7. Somali
    8. Yoruba
    9. Zulu
  37. 37th stage (launched June 2014)
    1. Definition of words added.
  38. 38th stage (launched December 2014)
    1. Burmese
    2. Chewa
    3. Kazakh
    4. Malagasy
    5. Malayalam
    6. Sinhalese
    7. Sotho
    8. Sundanese
    9. Tajik
    10. Uzbek
  39. 39th stage (launched October 2015)
    1. Transliteration of Arabic restored.
  40. 40th stage (launched November 2015)
    1. Aurebesh
  41. 41st stage (launched February 2016)
    1. 13 more languages (Sindhi, Pashto, Amharic, Corsican, Frisian, Kyrgyz, Hawaiian, Kurdish (Kurmanji), Luxembourgish, Samoan, Scots Gaelic, Shona and Xhosa) were added into Google Translate.[38][39][40][41]
    2. Aurebesh removed.
    3. Speech program launched in Bengali.
    4. Amharic
    5. Corsican
    6. Hawaiian
    7. Kurdish (Kurmanji)
    8. Kyrgyz
    9. Luxembourgish
    10. Pashto
    11. Samoan
    12. Scottish Gaelic
    13. Shona
    14. Sindhi[42]
    15. West Frisian
    16. Xhosa
  42. 42nd stage (launched September 2016)
    1. Speech program launched in Ukrainian.
  43. 43rd stage (launched December 2016)
    1. Speech program launched in Khmer and Sinhala.

Method of translation

In April 2006, Google Translate launched with a statistical machine translation engine.[1]

Google Translate does not apply grammatical rules, since its algorithms are based on statistical analysis rather than traditional rule-based analysis. The system's original creator, Franz Josef Och, has criticized the effectiveness of rule-based algorithms in favor of statistical approaches.[43] It is based on a method called statistical machine translation, and more specifically, on research by Och who won the DARPA contest for speed machine translation in 2003. Och was the head of Google's machine translation group until leaving to join Human Longevity, Inc. in July 2014.[44]

According to Och, a solid base for developing a usable statistical machine translation system for a new pair of languages from scratch would consist of a bilingual text corpus (or parallel collection) of more than 150-200 million words, and two monolingual corpora each of more than a billion words.[43] Statistical models from these data are then used to translate between those languages.

To acquire this huge amount of linguistic data, Google used United Nations and European Parliament transcripts.[45][46]

Google Translate does not translate from one language to another (L1 → L2). Instead, it often translates first to English and then to the target language (L1 → EN → L2).[47]

When Google Translate generates a translation, it looks for patterns in hundreds of millions of documents to help decide on the best translation. By detecting patterns in documents that have already been translated by human translators, Google Translate makes intelligent guesses as to what an appropriate translation should be.[48]

Before October 2007, for languages other than Arabic, Chinese and Russian, Google Translate was based on SYSTRAN, a software engine which is still used by several other online translation services such as Babel Fish (now defunct). Since October 2007, Google Translate has used proprietary, in-house technology based on statistical machine translation instead.[49][50]

Google Neural Machine Translation

In September 2016, a research team at Google led by the software engineer Harold Gilchrist announced the development of the Google Neural Machine Translation system (GNMT) to increase fluency and accuracy in Google Translate[2][51] and in November announced that Google Translate would switch to GNMT.

Google Translate's neural machine translation system uses a large end-to-end artificial neural network capable of deep learning,[2][52] in particular, long short-term memory networks.[53][54][55][56] GNMT improves the quality of translation because it uses an example-based machine translation (EBMT) method in which the system "learns from millions of examples."[52] It translates "whole sentences at a time, rather than just piece by piece. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar".[2] GNMT's "proposed architecture" of "system learning" was first tested on over a hundred languages supported by Google Translate.[52] With the end-to-end framework, "the system learns over time to create better, more natural translations."[2] The GNMT network is capable of interlingual machine translation, which encodes the "semantics of the sentence rather than simply memorizing phrase-to-phrase translations",[52][57] and the system did not invent its own universal language, but uses "the commonality found inbetween many languages".[58] GNMT was first enabled for eight languages: to and from English and Chinese, French, German, Japanese, Korean, Portuguese, Spanish and Turkish.[2][51] In March 2017, it was enabled for Hindi, Russian and Vietnamese languages,[59] followed by Indonesian, Bengali, Gujarati, Kannada, Malayalam, Marathi, Punjabi, Tamil and Telugu languages in April.[60]

GNMT has the capability to translate directly from one language to another (L1 → L2), which improves upon the previous versions of Google Translate which first translated to English and then to the target language (L1 → EN → L2).[57] The GNMT system is also capable of Zero-Shot Translation - translating between a language pair (for example, Japanese to Korean) which the "system has never explicitly seen before."[52]


In 2014, Google launched "Translate Community", a platform aimed at improving the translation service by seeking help from volunteers.[61][62] In August 2016, a Google Crowdsource app was released for Android users, in which translation tasks are offered.[63][64]


Some languages produce better results than others. Google Translate performs well especially when English is the target language and the source language is from the European Union due to the prominence of translated EU parliament notes. A 2010 analysis indicated that French to English translation is relatively accurate.[65] However, if the source text is shorter, rule-based machine translations often perform better; this effect is particularly evident in Chinese to English translations. While edits of translations may be submitted, in Chinese specifically one is not able to edit sentences as a whole. Instead, one must edit sometimes arbitrary sets of characters, leading to incorrect edits.[65] A good example is Russian-to-English. Formerly one would use Google Translate to make a draft and then use a dictionary and common sense to correct the numerous mistakes. As of early 2018 Translate is sufficiently accurate to make the Russian Wikipedia accessible to those who can read English. The quality of Translate can be checked by adding it as an extension to Chrome and applying it to the left language links of any Wikipedia article.


Shortly after launching the translation service for the first time, Google won an international competition for English–Arabic and English–Chinese machine translation.[66]

Translation mistakes and oddities

Since Google Translate used statistical matching to translate, translated text can often include apparently nonsensical and obvious errors,[67] sometimes swapping common terms for similar but nonequivalent common terms in the other language,[68] or inverting sentence meaning. Novelty websites like Bad Translator and Translation Party have utilized the service to produce humorous text by translating back and forth between multiple languages, similar to the children's game Chinese whispers.[69]

Court usage

In 2017, Google Translate was used during a court hearing when court officials at Teesside Magistrates' Court failed to book an interpreter for a Chinese defendant.[70]

See also


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