This article needs to be updated.May 2018)(
Type of site
|Available in||104 languages, see below|
|Users||Over 200 million people daily|
|Launched||April 28, 2006statistical machine translation) (as |
November 15, 2016 (as neural machine translation)
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[update], 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 currently available in 105 languages as of 2019.
- 1 History of Google Translate
- 2 Functions
- 3 Features
- 4 Supported languages
- 5 Methods of translation
- 6 Accuracy
- 7 Limitations
- 8 Reviews
- 9 Court usage
- 10 See also
- 11 References
- 12 External links
History of Google Translate
Google Translate is a complementary translation service developed by Google in April 2006. It translates multiple forms of texts and media such as words, phrases and webpages.
Originally Google Translate was released as a Statistical Machine Translation (SMT). Translating the required text into English before translating into the selected language was a mandatory step that it had to take. Since SMT uses predictive algorithms to translate text, it had poor grammatical accuracy. However, Google initially did not hire experts to resolve this limitation due to the ever-evolving nature of language.
In January 2010, Google has introduced an Android app and iOS version in February 2011 to serve as a portable personal interpreter. As of February 2010, it was integrated into browsers such as Chrome and was able to pronounce the text, automatically recognize words in the picture and spot unfamiliar text and languages.
In May 2014, Google acquired Word Lens to improve the quality of visual and voice translation. It is able to scan text or picture with one's device and have it translated instantly. Moreover, the system automatically identifies foreign languages and translates speech without requiring individuals to tap the mic button whenever speech translation is needed.
In November 2016, Google transitioned its translating method to a system called “Neural Machine Translation.” It uses Deep Learning techniques to translate the whole sentences at a time and ensures more adequate accuracy of the context.
As of 2018, it translates more than 100 billion words a day.
Google Translate can translate multiple forms of text and media, which includes text, speech, images, and videos. Specifically, its functions include:
Written Words Translation
- A function that translates written words or text to a foreign language.
- A function that translates a whole webpage to selected languages
- A function that translates a document uploaded by the users to selected languages. The documents should be in the form of: .doc, .docx, .odf, .pdf, .ppt, .pptx, .ps, .rtf, .txt, .xls, .xlsx.
- A function that instantly translates spoken language into the selected foreign language.
Mobile App Translation
- In 2018, Google Translate has introduced its new feature called “Tap to Translate,” which made instant translation accessible inside any apps without exiting or switching it.
- A function that identifies text in a picture taken by the users and translates text on the screen instantly by images.
- A function that translates language that are hand written on the phone screen or drew on a virtual keyboard without the support of keyboard.
For most of its features, Google Translate provides the pronunciation, dictionary, and listen to translation. Additionally, Google Translate has introduced its own Translate app, so translation is available with mobile phone in offline mode.
Google Translate can translate multiple forms of text and media, including text, speech, images, sites, or real-time video, from one language to another. It supports over 100 languages at various levels and as of May 2017[update], serves over 500 million people daily. For some languages, Google Translate can pronounce translated text, 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. Users can save translations in a "phrasebook" for later use. For some languages, text can be entered via an on-screen keyboard, through handwriting recognition, or speech recognition.
Google Translate is available in some web browsers as an optional downloadable extension that can run the translation engine. In February 2010, Google Translate was integrated into the Google Chrome browser by default, for optional automatic webpage translation.
|Size||26.59 MB (Android)|
70.9 MB (iOS)
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".
The Android app was released in January 2010, and for iOS on February 8, 2011.
A January 2011 Android version experimented with a "Conversation Mode" that allowed users to communicate fluidly with a nearby person in another language. Originally limited to English and Spanish, the feature received support for 12 new languages, still in testing, the following October.
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. 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.
In May 2011, Google announced that the Google Translate API for software developers had been deprecated and would cease functioning. The Translate API page stated the reason as "substantial economic burden caused by extensive abuse" with an end date set for December 1, 2011. In response to public pressure, Google announced in June 2011 that the API would continue to be available as a paid service.
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.
The following languages are supported in Google Translate.
- Chinese (Simplified)
- Chinese (Traditional)
- Haitian Creole
- Kurdish (Kurmanji)
- Norwegian (Bokmål)
- Scots Gaelic
Methods of translation
In April 2006, Google Translate launched with a statistical machine translation engine.
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. 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.
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. Statistical models from these data are then used to translate between those languages.
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).
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.
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.
Google Translate Community
Google constantly seeks for volunteers to be a part of its “Translate Community” to translate languages people speak and help improve Google Translate's accuracy. There are two ways to contribute. First, Google will show a phrase then one should type in the translated version. Second, Google will show all possible translation for a phrase for individuals to click the right translation.
Statistical Machine Translation
Although, Google deployed a new system called “Neural Machine Translation” for better quality translation, there are languages that still use the traditional translation method called “Statistical Machine Translation.” It is a “rule-based” translation method that utilizes predictive algorithms to guess ways to translate texts in foreign languages. It aims to translate whole phrases rather than single words then gather overlapping phrases for translation. Moreover, it also analyzes bilingual text corpora to generate statistical model that translates texts from one language to another.
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 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, in particular, long short-term memory networks. 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." 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". GNMT's "proposed architecture" of "system learning" was first tested on over a hundred languages supported by Google Translate. With the end-to-end framework, "the system learns over time to create better, more natural translations." The GNMT network is capable of interlingual machine translation, which encodes the "semantics of the sentence rather than simply memorizing phrase-to-phrase translations", and the system did not invent its own universal language, but uses "the commonality found inbetween many languages". GNMT was first enabled for eight languages: to and from English and Chinese, French, German, Japanese, Korean, Portuguese, Spanish and Turkish. In March 2017, it was enabled for Hindi, Russian and Vietnamese languages, followed by Indonesian, Bengali, Gujarati, Kannada, Malayalam, Marathi, Punjabi, Tamil and Telugu languages in April.
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). 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."
In 2014, Google launched "Translate Community", a platform aimed at improving the translation service by seeking help from volunteers. In August 2016, a Google Crowdsource app was released for Android users, in which translation tasks are offered.
Although Google Translate is not as reliable as human translation, it can provide relatively accurate translation and a gist of foreign language text. It can translate text with the general use of words and phrases in a consistent manner. Research conducted in 2011 showed that Google Translate got a slightly higher score than the UCLA minimum score for the English Proficiency Exam. Due to its identical choice of words without considering the flexibility of choosing alternative words or expressions, it produces a relatively similar translation to human translation from the perspective of formality, referential cohesion, and conceptual cohesion. Moreover, a number of languages are translated into a sentence structure and sentence length similar to a human translation. Furthermore, Google carried out a test that required native speakers of each language to rate the translation on a scale between 0 and 6, and Google Translate scored 5.43 on average.
Due to the differences between languages in complexity and nature, the accuracy varies greatly between languages. Some languages produce better results than others. Typically, western languages such as English and Spanish are generally accurate, but the accuracy of African languages is often the poorest, followed by Asian and European languages. Moreover, 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.
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 cannot edit sentences as a whole. Instead, one must edit sometimes arbitrary sets of characters, leading to incorrect edits. 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 or Firefox and applying it to the left language links of any Wikipedia article. It can be used as a dictionary by typing in words. One can translate from a book by using a scanner and an OCR like Google Drive, but this takes about five minutes per page.
Once Google Translate has deployed a new technology called Neural Machine Translation to translate whole sentences or text block in the context at a time, alternative translations for a word or phrase are no longer available. Moreover, in its Written Words Translation function, there is a word limit on the amount of text that can be translated at once. Therefore, long text should be transferred to a document form and translated through its Document Translate function.
Moreover, machine translation often does not identify the double meanings of a word. A word in a foreign language might have two different meanings in the translated language. This might lead to mistranslations.
Additionally, grammatical errors remain a major limitation to the accuracy of Google Translate.
Shortly after launching the translation service for the first time, Google won an international competition for English–Arabic and English–Chinese machine translation.
Translation mistakes and oddities
Since Google Translate used statistical matching to translate, translated text can often include apparently nonsensical and obvious errors, sometimes swapping common terms for similar but nonequivalent common terms in the other language, 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 telephone.
In 2017 Oct 4 the system Google Translate was used during a court hearing when court officials at Teesside Magistrates' Court failed to book an interpreter for a Chinese defendant.
- Babel Fish (discontinued; redirects to main Yahoo! site)
- Comparison of machine translation applications
- Google Dictionary
- Google Text-to-Speech
- Google Translator Toolkit
- Jollo (discontinued)
- List of Google products
- Microsoft Translator
- Word Lens (discontinued; merged into Google Translate app)
- Orch, Franz (April 28, 2006). "Statistical machine translation live". Google Research Blog. Google. Retrieved December 1, 2016.
- Turovsky, Barak (November 15, 2016). "Found in translation: More accurate, fluent sentences in Google Translate". The Keyword Google Blog. Google. Retrieved March 23, 2017.
- Sommerlad, Joe (June 19, 2018). "Google Translate: How does the search giant's multilingual interpreter actually work?". INDEPENDENT. Retrieved November 28, 2018.
- Petrovan, Bogdan (January 14, 2015). "Google Translate just got smarter: Word Lens and instant voice translations in latest update". Android Authority. Retrieved November 28, 2018.
- McGuire, Nick (July 26, 2018). "How accurate is Google Translate in 2018?". ARGO Translation. Retrieved November 29, 2018.
- "Translate Written Words". Google Translate Help. Google.
- "Translate text messages, webpages, or documents". Google. Retrieved November 25, 2018.
- "Translate by Speech". Google Translate Help. Google. Retrieved November 23, 2018.
- "About". Google Translate. Google. Retrieved November 28, 2018.
- "Translate Image". Google Translate Help. Google. Retrieved November 20, 2018.
- "Translate with Handwriting or Virtual Keyboard". Google Translate Help. Retrieved November 21, 2018.
- "About - Google Translate". Google. Retrieved July 9, 2017.
- "Google Translate Help". Google Translate Help. Google. Retrieved December 1, 2016.
- "See which features work with each language". Google. Retrieved July 9, 2017.
- Shankland, Stephen (May 18, 2013). "Google Translate now serves 200 million people daily". CNET. CBS Interactive. Retrieved December 1, 2016.
- "Translate written words". Google Translate Help. Google. Retrieved December 1, 2016.
- "Translate text messages, webpages, or documents". Google Translate Help. Google. Retrieved December 1, 2016.
- "Save translations in a phrasebook". Google Translate Help. Google. Retrieved May 28, 2017.
- "Translate with handwriting or virtual keyboard". Google Translate Help. Google. Retrieved December 1, 2016.
- "Translate by speech". Google Translate Help. Google. Retrieved December 1, 2016.
- Baldwin, Roberto (October 16, 2014). "Google introduces Google Translate Chrome Extension for inline translations of text". The Next Web. Retrieved May 28, 2017.
- Wauters, Robin (February 14, 2010). "Rant: Google Translate Toolbar In Chrome 5 Needs An 'Off' Button". TechCrunch. AOL. Retrieved May 28, 2017.
- "Google Translate APKs". APKMirror. Retrieved October 30, 2019.
- "Google Translate". App Store. Retrieved October 3, 2019.
- Setalvad, Ariha (July 29, 2015). "Google Translate adds 20 new languages to video text translation". The Verge. Vox Media. Retrieved March 23, 2017.
- Zhu, Wenzhang (February 8, 2011). "Introducing the Google Translate app for iPhone". Official Google Blog. Google. Retrieved March 23, 2017.
- Hachman, Mark (January 12, 2011). "Google Translate's New 'Conversation Mode': Hands On". PC Magazine. Ziff Davis. Retrieved May 28, 2017.
- Velazco, Chris (October 13, 2011). "Google Translate For Android Gets Upgraded "Conversation Mode"". TechCrunch. AOL. Retrieved May 28, 2017.
- Russell, Jon (January 14, 2015). "Google Translate Now Does Real-Time Voice And Sign Translations On Mobile". TechCrunch. AOL. Retrieved May 28, 2017.
- Petrovan, Bogdan (January 14, 2015). "Google Translate just got smarter: Word Lens and instant voice translations in latest update". Android Authority. Retrieved May 28, 2017.
- Gush, Andrew (July 29, 2015). "Google Translate adds video translation support for 25 more languages". Android Authority. Retrieved May 28, 2017.
- Olanoff, Drew (July 29, 2015). "Google Translate's App Now Instantly Translates Printed Text In 27 Languages". TechCrunch. AOL. Retrieved May 28, 2017.
- Feldman, Adam (May 26, 2011). "Spring cleaning for some of our APIs". Official Google Code Blog. Google. Archived from the original on May 28, 2011. Retrieved December 11, 2016.
- "Google Translate API (Deprecated)". Google Code. Google. Archived from the original on August 22, 2011. Retrieved December 11, 2016.
- Feldman, Adam (June 3, 2011). "Spring cleaning for some of our APIs". Official Google Code Blog. Google. Retrieved December 11, 2016.
- Burnette, Ed (May 27, 2011). "Google pulls the rug out from under web service API developers, nixes Google Translate and 17 others". ZDNet. CBS Interactive. Retrieved December 11, 2016.
- Wong, George (May 27, 2011). "Google gets rid of APIs for Translate and other services". UberGizmo. Retrieved December 11, 2016.
- Statistical machine translation live, Franz Josef Och, Google Research Blog, April 28, 2006
- Henderson, Fergus (November 5, 2010). "Giving a voice to more languages on Google Translate". Google Blog. Retrieved December 22, 2011.
- "Five more languages on Google Translate". Google Translate Blog. May 13, 2010. Retrieved December 22, 2011.
- Jakob Uszkoreit, Ingeniarius Programmandi (September 30, 2010). "Veni, Vidi, Verba Verti". Google Blog. Retrieved December 22, 2011.
- SVOX Archived December 26, 2010, at the Wayback Machine
- "Google Translate welcomes you to the Indic web". Google Translate Blog.
- Google Translate Blog: Tutmonda helplingvo por ĉiuj homoj
- Brants, Thorsten (September 13, 2012). "Translating Lao". Google Translate Blog. Retrieved September 19, 2012.
- Crum, Chris (September 13, 2012). "Google Adds its 65th Language to Google Translate with Lao". WebProNews. Retrieved September 19, 2012.
- "Google can now translate text into Sindhi, Pashto and vice versa". Dawn. February 19, 2016. Retrieved August 10, 2016.
- "Google adds Sindhi to its translate language options | Latest News & Updates at Daily News & Analysis". DNA India. Diligent Media Corporation Ltd. February 18, 2016. Retrieved August 10, 2016.
- "Google adds Sindhi to its translate language options". Yahoo! News. Asian News International. February 18, 2016. Retrieved August 10, 2016.
- Ahmed, Ali (February 18, 2016). "Google Translate now includes Sindhi and Pashto". Business Recorder. Retrieved August 10, 2016.
- Och, Franz (September 12, 2005). "Statistical Machine Translation: Foundations and Recent Advances" (PDF). Google. Retrieved December 1, 2016.
- "Franz Och, Ph.D., Expert in Machine Learning and Machine Translation, Joins Human Longevity, Inc. as Chief Data Scientist" (Press release). La Jolla, CA: Human Longevity, Inc. July 29, 2014. Retrieved January 15, 2015.
- Adams, Tim (December 19, 2010). "Can Google break the computer language barrier?". The Guardian. Guardian Media Group. Retrieved May 28, 2017.
- Tanner, Adam (March 28, 2007). "Google seeks world of instant translations". Reuters. Thomson Reuters. Retrieved May 28, 2017.
- Boitet, Christian; Blanchon, Hervé; Seligman, Mark; Bellynck, Valérie. "MT on and for the Web" (PDF). Retrieved December 1, 2016.
- "Inside Google Translate". Google. Archived from the original on August 22, 2010. Retrieved December 11, 2016.
- Chitu, Alex (October 22, 2007). "Google Switches to Its Own Translation System". Unofficial Google Blog. Retrieved March 23, 2017.
- Schwartz, Barry (October 23, 2007). "Google Translate Drops Systran For Home Brewed Translation". Search Engine Land. Retrieved March 23, 2017.
- "Contribute". Google Translate. Google. Retrieved November 20, 2018.
- Lange, William (February 7, 2017). "Statistical Vs Neural Machine Translation". United Language Group. Retrieved November 27, 2018.
- Le, Quoc; Schuster, Mike (September 27, 2016). "A Neural Network for Machine Translation, at Production Scale". Google Research Blog. Google. Retrieved December 1, 2016.
- Schuster, Mike; Johnson, Melvin; Thorat, Nikhil (November 22, 2016). "Zero-Shot Translation with Google's Multilingual Neural Machine Translation System". Google Research Blog. Google. Retrieved March 23, 2017.
- Sepp Hochreiter; Jürgen Schmidhuber (1997). "Long short-term memory". Neural Computation. 9 (8): 1735–1780. doi:10.1162/neco.19184.108.40.2065. PMID 9377276.
- Felix A. Gers; Jürgen Schmidhuber; Fred Cummins (2000). "Learning to Forget: Continual Prediction with LSTM". Neural Computation. 12 (10): 2451–2471. doi:10.1162/089976600300015015.
- Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation (26 Sep 2016): Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Łukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, Jeffrey Dean. https://arxiv.org/abs/1609.08144
- "An Infusion of AI Makes Google Translate More Powerful Than Ever." Cade Metz, WIRED, Date of Publication: 09.27.16. https://www.wired.com/2016/09/google-claims-ai-breakthrough-machine-translation/
- Boitet, Christian; Blanchon, Hervé; Seligman, Mark; Bellynck, Valérie (2010). "MT on and for the Web" (PDF). Retrieved December 1, 2016.
- McDonald, Chris (January 7, 2017). "Ok slow down". Medium. Retrieved March 23, 2017.
- Davenport, Corbin (March 6, 2017). "Google Translate now uses neural machine translation for some languages". Android Police. Retrieved April 26, 2017.
- Hager, Ryne (April 25, 2017). "Google adds Indonesian and eight new Indian languages to its neural machine translation". Android Police. Retrieved April 26, 2017.
- Lardinois, Frederic (July 25, 2014). "Google Wants To Improve Its Translations Through Crowdsourcing". TechCrunch. AOL. Retrieved July 13, 2017.
- Summers, Nick (July 25, 2014). "Google sets up a community site to help improve Google Translate". The Next Web. Retrieved July 13, 2017.
- Whitwam, Ryan (August 29, 2016). "New Google Crowdsource app asks you to help with translation and text transcription a few seconds at a time". Android Police. Retrieved March 23, 2017.
- Shankland, Stephen (August 29, 2016). "New Crowdsource app lets you work for Google for free". CNET. CBS Interactive. Retrieved July 13, 2017.
- McGuire, Nick (July 26, 2018). "How accurate is Google Translate in 2018?". ARGO Translation. Retrieved November 29, 2018.
- Aiken, Milam; Balan, Shilpa (April 2011). "An Analysis of Google Translate Accuracy". Translation Journal.
- Li, Haiying; Graesser, Arthur; Cai, Zhiqiang. "Comparison of Google Translation with Human Translation" (PDF). Comparison of Google Translation with Human Translation.
- McGuire, Nick (July 26, 2018). "How accurate is Google Translate in 2018?". ARGO Translation. Retrieved November 29, 2018.
- Freitas, Connor; Liu, Yudong (December 15, 2017). "Exploring the Differences between Human and Machine Translation". Western Washington University: 5.
- Ethan Shen, Comparison of online machine translation tools, archived from the original on February 10, 2011, retrieved December 15, 2010
- Nielsen, Michael. Reinventing discovery: the new era of networked science. Princeton, NJ: Princeton University Press. p. 125. ISBN 978-0-691-14890-8.
- Gomes, Lee (July 22, 2010). "Google Translate Tangles With Computer Learning". Forbes. Retrieved March 23, 2017.
- Weinberg, Nathan (September 10, 2007). "Google Translates Ivan the Terrible as "Abraham Lincoln"". Blog News Channel. Archived from the original on September 12, 2007. Retrieved March 23, 2017.
- Kincaid, Jason (August 7, 2009). "Translation Party: Tapping Into Google Translate's Untold Creative Genius". TechCrunch. AOL. Retrieved March 23, 2017.
- "A British court was forced to rely on Google Translate because it had no interpreter". Business Insider. Retrieved August 11, 2017.