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For some languages, Google Translate can synthesize speech from text, and in certain pairs it is possible to highlight specific corresponding words and phrases between the source and target text. Google Translate produces approximations across languages of multiple forms of text and media, including text, speech, websites, or text on display in still or live video images. A petition for Google to add Cree to Google Translate was created in 2021, but it was not one of the languages in development at the time of the Translate Community’s closure. The input text had to be translated into English first before being translated into the selected language. Google Translate is a web-based free-to-use translation service developed by Google in April 2006. During a translation, it looked for patterns in millions of documents to help decide which words to choose and how to arrange them in the target language.

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• Statistical models from these data are then used to translate between those languages.
• In response to public pressure, Google announced in June 2011 that the API would continue to be available as a paid service.
• If “Detect language” is selected, text in an unknown language can be automatically identified.
• No measurement results have been provided by Google researchers for GNMT from English to other languages, other languages to English, or between language pairs that do not include English.

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When used as a dictionary to translate single words, Google Translate is highly inaccurate because it must guess between polysemic words. 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. For many other languages vis-à-vis English, it can produce the gist of text in those formal circumstances. GNMT’s “proposed architecture” of “system learning” has been implemented on over a hundred languages supported by Google Translate. Google Translate’s neural machine translation system used a large end-to-end artificial neural network that attempts to perform deep learning, in particular, long short-term memory networks. Despite its role in improving translation quality and expanding language coverage, Google closed the Translate Community on March 28, 2024.

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Google Translate does not directly translate from one language to another (L1 → L2). Och was the head of Google’s machine translation group until leaving to join Human Longevity, Inc. in July 2014. As of November 2025,update the following 249 languages, dialects and language varieties written in different scripts (240 unique languages and dialects) are supported by Google Translate.

• It aims to translate whole phrases rather than single words then gather overlapping phrases for translation.
• Quotes can be created by registered users in myLists.
• Most common English words have at least two senses, which produces 50/50 odds in the likely case that the target language uses different words for those different senses.
• Accuracy decreases for those languages when fewer of those conditions apply, for example when sentence length increases or the text uses familiar or literary language.

Instead, one must edit sometimes arbitrary sets of characters, leading to incorrect edits. A 2010 analysis indicated that French to English translation is relatively accurate, and 2011 and 2012 analyses showed that Italian to English translation is relatively accurate as well. When Google Translate does not have a word in its vocabulary, it makes up a result as part of its algorithm.

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It served over 200 million people daily in May 2013, and over 500 million total users as of April 2016update, with more than 100 billion words translated daily. XP Power ECP40 series compact 40 W AC/DC power supplies offer IT and medical approvals, universal input, and high efficiency. Novelty websites like Bad Translator and Translation Party have used the service to produce humorous text by translating back and forth between multiple languages, similar to the children’s game telephone. In its Written Words Translation function, there is a word limit on the amount of text that can be translated at once.

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Moreover, a number of languages are translated into a sentence structure and sentence length similar to a human translation. Volunteers could select up to five languages to help improve translation; users could verify translated phrases and translate phrases in their languages to and from English, helping to improve the accuracy of translating more rare and complex phrases. Results are sometimes shown with dictional information below the translation box, but it is not a dictionary and has been shown to invent translations in all languages for words it does not recognize. Since Google Translate uses statistical matching to translate, translated text can often include apparently nonsensical and obvious errors, often swapping common terms for similar but nonequivalent common terms in the other language, as well as inverting sentence meaning. When text is well-structured, written using formal language, with simple sentences, relating to formal topics for which training data is ample, it often produces conversions similar to human translations between English and a number of high-resource languages.

Most languages from Africa, Asia, and the Pacific, tend to score poorly in relation to the scores of many well-financed European languages, Afrikaans and Chinese being the high-scoring exceptions from their continents. Due to differences between languages in investment, research, and the extent of digital resources, the accuracy of Google Translate varies greatly among languages. Google Translate struggles to differentiate between imperfect and perfect aspects in Romance languages. The accuracy of single-word predictions has not been measured for any language. Most common English words have at least two senses, which produces 50/50 odds in the likely case that the target language uses different words for those different senses.

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Despite this, Google initially did not hire experts to resolve this limitation due to the ever-evolving nature of language. Since SMT uses predictive algorithms to translate text, it had poor grammatical accuracy. It offers a website interface, a mobile app for Android and iOS, and an API that helps developers build browser extensions and software applications.

Google Translate also provides translations for Google Assistant and the devices that Google Assistant runs on such as Google Nest and Pixel Buds. Originally limited to English and Spanish, the feature received support for 12 new languages, still in testing, the following October. A January 2011 Android version experimented with a “Conversation Mode” that aims to allow users to communicate fluidly with a nearby person in another language. The Android app was released in January 2010, and for iOS on February 8, 2011, after an HTML5 web application was released for iOS users in August 2008. Google Translate is available in some web browsers as an optional downloadable extension that can run the translation engine, which allow right-click command access to the translation service. Until March 2023, some less widely spoken languages used the open-source eSpeak synthesizer for their speech; producing a robotic, awkward voice that may be difficult to understand.

It aims to translate whole phrases rather than single words then gather overlapping phrases for translation. From October 2007, Google Translate used proprietary, in-house technology based on statistical machine translation instead, before transitioning to neural machine translation. However, because English, like all human languages, is ambiguous and depends on context, this can cause translation errors. Original versions of Google Translate were 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. Upon highlighting text in an app that is in a foreign language, Translate will pop up inside of the app and offer translations. The original January launch only supported seven languages, but a July update added support for 20 new languages, with the release of a new implementation that utilizes convolutional neural networks, and also enhanced the speed and quality of Conversation Mode translations (augmented reality).

Google Translate makes statistical guesses that raise the likelihood of producing the most frequent sense of a word, with the consequence that an accurate translation will be unobtainable in cases that do not match the majority or plurality corpus occurrence. Among the top 100 words in the English language, which make up more than 50% of all written English, the average word has more than 15 senses, which makes the odds against a correct translation about 15 to 1 if each sense maps to a different word in the target language. 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.

The technology underlying Instant Camera combines image processing and optical character recognition, then attempts to produce cross-language equivalents using standard Google Translate estimations for the text as it is perceived. Google Translate recognises the text from the image using optical character recognition (OCR) technology and gives the translation. The ‘Camera input’ functionality allows users to take a photograph of a document, signboard, etc.

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