Google Translate

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
Google Translate logo
Screenshot of Google Translate
Google Translate homepage
Type of site
Machine translation
Available in103 languages, see below
UsersOver 200 million people daily
LaunchedApril 28, 2006 (as statistical machine translation)[1]
November 15, 2016 (as neural machine translation)[2]
Current statusActive


Google Translation is a complimentary translation service developed by Google in April 2006.[3] 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).[3] Translating the required text into English before translating into the selected language was a mandatory step that it had to take.[3] 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 ever-evolving nature of language.[3]

In January 2010, Google has introduced Android app and iOS version in February 2011 to serve as a portable personal interpreter.[3] 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.[3]

In May 2014, Google acquired Word Lens to improve the quality of visual and voice translation.[4] 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.[4]

In November 2016, Google has transitioned its translating method to a system called “Neural Machine Translation.”[5] It uses Deep Learning techniques to translate the whole sentences at a time and ensures greater accuracy of the context.[3]

As of 2018, it translates more than 100 billion words a day.[5]


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.[6]

Website Translation

  • A function that translates a whole webpage to selected languages[7]

Document Translation

  • 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.[7]

Speech Translation

  • A function that instantly translates spoken language into the selected foreign language.[8]

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.[9]

Image Translation

  • A function that identifies text in a picture taken by the users and translates text on the screen instantly.[10]

Handwritten Translation

  • A function that translates language that are hand written on the phone screen or drew on a virtual keyboard without the support of keyboard.[11]

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.[9]


Google Translate can translate multiple forms of text and media, including text, speech, images, sites, or real-time video, from one language to another.[12][13] It supports over 100 languages at various levels[14] and as of May 2017, serves over 500 million people daily.[15] For some languages, Google Translate can pronounce translated text,[16] 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.[17] Users can save translations in a "phrasebook" for later use.[18] For some languages, text can be entered via an on-screen keyboard, through handwriting recognition, or speech recognition.[19][20]

Browser integration

Google Translate is available in some web browsers as an optional downloadable extension that can run the translation engine.[21] In February 2010, Google Translate was integrated into the Google Chrome browser by default, for optional automatic webpage translation.[22]

Mobile apps

Google Translate
Google Translate Icon.png
iOS app of Google Translate, showing a Filipino translation of "Good"
iOS app of Google Translate, showing a Filipino translation of "Good"
Stable release(s) [±]
Android5.27.0.RC04.237379852 / March 8, 2019[23]
iOS5.21.1 / August 9, 2018[24]
Size13.69 MB (Android)
64.5 MB (iOS)
TypeMachine 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".[25]

The Android app was released in January 2010, and for iOS on February 8, 2011.[26]

A January 2011 Android version experimented with a "Conversation Mode" that allowed users to communicate fluidly with a nearby person in another language.[27] Originally limited to English and Spanish, the feature received support for 12 new languages, still in testing, the following October.[28]

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.[29][30] 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.[31][32]


In May 2011, Google announced that the Google Translate API for software developers had been deprecated and would cease functioning.[33] The Translate API page stated the reason as "substantial economic burden caused by extensive abuse" with an end date set for December 1, 2011.[34] In response to public pressure, Google announced in June 2011 that the API would continue to be available as a paid service.[35]

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.[36][37]

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.[14]

  1. Afrikaans
  2. Albanian
  3. Amharic
  4. Arabic
  5. Armenian
  6. Azerbaijani
  7. Basque
  8. Belarusian
  9. Bengali
  10. Bosnian
  11. Bulgarian
  12. Burmese
  13. Catalan
  14. Cebuano
  15. Chichewa
  16. Chinese
  17. Corsican
  18. Croatian
  19. Czech
  20. Danish
  21. Dutch
  22. English
  23. Esperanto
  24. Estonian
  25. Filipino
  26. Finnish
  27. French
  28. Frisian
  29. Galician
  30. Georgian
  31. German
  32. Greek
  33. Gujarati
  34. Haitian Creole
  35. Hausa
  36. Hawaiian
  37. Hebrew
  38. Hindi
  39. Hmong
  40. Hungarian
  41. Icelandic
  42. Igbo
  43. Indonesian
  44. Irish
  45. Italian
  46. Japanese
  47. Javanese
  48. Kannada
  49. Kazakh
  50. Khmer
  51. Korean
  52. Kurdish (Kurmanji)
  53. Kyrgyz
  54. Lao
  55. Latin
  56. Latvian
  57. Lithuanian
  58. Luxembourgish
  59. Macedonian
  60. Malagasy
  61. Malay
  62. Malayalam
  63. Maltese
  64. Maori
  65. Marathi
  66. Mongolian
  67. Nepali
  68. Norwegian (Bokmål)
  69. Pashto
  70. Persian
  71. Polish
  72. Portuguese
  73. Punjabi
  74. Romanian
  75. Russian
  76. Samoan
  77. Scots Gaelic
  78. Serbian
  79. Sesotho
  80. Shona
  81. Sindhi
  82. Sinhala
  83. Slovak
  84. Slovenian
  85. Somali
  86. Spanish
  87. Sundanese
  88. Swahili
  89. Swedish
  90. Tajik
  91. Tamil
  92. Telugu
  93. Thai
  94. Turkish
  95. Ukrainian
  96. Urdu
  97. Uzbek
  98. Vietnamese
  99. Welsh
  100. Xhosa
  101. Yiddish
  102. Yoruba
  103. Zulu

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.[52] 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.[53]

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.[52] 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.[54][55]

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).[56]

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.[57]

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.[58][59]

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.[60] There are two ways to contribute. First, Google will show a phrase then one should type in the translated version.[60] Second, Google will show all possible translation for a phrase for individuals to click the right translation.[60]

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.[61] It aims to translate whole phrases rather than single words then gather overlapping phrases for translation.[61] Moreover, it also analyzes bilingual text corpora to generate statistical model that translates texts from one language to another.[62]

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][63] 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][64] in particular, long short-term memory networks.[65][66][67][68] 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."[64] 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.[64] 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",[64][69] and the system did not invent its own universal language, but uses "the commonality found inbetween many languages".[70] GNMT was first enabled for eight languages: to and from English and Chinese, French, German, Japanese, Korean, Portuguese, Spanish and Turkish.[2][63] In March 2017, it was enabled for Hindi, Russian and Vietnamese languages,[71] followed by Indonesian, Bengali, Gujarati, Kannada, Malayalam, Marathi, Punjabi, Tamil and Telugu languages in April.[72]

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).[69] 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."[64]


In 2014, Google launched "Translate Community", a platform aimed at improving the translation service by seeking help from volunteers.[73][74] In August 2016, a Google Crowdsource app was released for Android users, in which translation tasks are offered.[75][76]


Although Google Translate is not as reliable as Human Translation, it has sufficient ability to provide relatively accurate translation and a gist of foreign language text. It has ability to translate text with the general use of words and phrases in a consistent manner.[77] A research conducted in 2011 showcased that Google Translate got slightly higher score than UCLA minimum score for English Proficiency Exam.[78] Due to its use of identical choice of words without considering the flexibility of choosing the alternative words or expressions, it produces relatively similar translation to human translation from the perspective of formality, referential cohesion, and conceptual cohesion.[79] Moreover, a number of languages are translated into the similar sentence structure and sentence length with the human translation.[79] Google carried out a test that required native speakers of each language to rate the translation with a scale between 0 and 6 and the results showed that Google Translate got 5.43 on average.[77]


Due to the differences in complexity and nature of language, the accuracy vary greatly among languages.[80] Some languages produce better results than others. Typically, western languages such as English and Spanish are generally accurate, and the accuracy of African languages are often the poorest, followed by Asian and European languages.[81] 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.[82]

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.[82] 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.

After the Google Translate has deployed a new technology called “Neural Machine Translation,” to translate whole sentences or text block in the context at a time, seeing the alternative translation for a word or phrase is not available anymore.[6] Moreover, in its “Written Words Translation” function, there is a word limit on the amount of text that can be translated at once.[6] Therefore, long text should be transferred to a document form and translated through its “Document Translate” function.[6]

Moreover, machine translation often does not identify the double meanings of a word.[83] A word in foreign language might have two different meanings in the translated language. As a result, it might lead to mistranslations.

Additionally, grammatical error remains as a major limitation that face Google Translate's attempts at accuracy.[84]


Shortly after launching the translation service for the first time, Google won an international competition for English–Arabic and English–Chinese machine translation.[85]

Translation mistakes and oddities

Since Google Translate used statistical matching to translate, translated text can often include apparently nonsensical and obvious errors,[86] sometimes swapping common terms for similar but nonequivalent common terms in the other language,[87] 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.[88]

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.[89]

See also


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External links


BIOMASS is an Earth observing satellite satellite planned for launch by the European Space Agency (ESA) in 2021. The mission will provide the first comprehensive measurements of global forest biomass.

The satellite will carry a synthetic aperture radar (SAR) operating at 435 MHz. The antennas are being fabricated by Italy and France.

Colegio Cristo Rey

The Colegio Cristo Rey is a Jesuit elementary and secondary school located in the city of Asunción, Paraguay. It was founded in 1938.


eSpeakNG is a compact, open source, software speech synthesizer for Linux, Windows, and other platforms. It uses a formant synthesis method, providing many languages in a small size. Much of the programming for eSpeakNG's language support is done using rule files with feedback from native speakers.

Because of its small size and many languages, it is included as the default speech synthesizer in the NVDA open source screen reader for Windows, Android, Ubuntu and other Linux distributions. Its predecessor eSpeak was recommended by Microsoft in 2016 and was used by Google Translate for 27 languages in 2010; 17 of these were subsequently replaced by commercial voices.The quality of the language voices varies greatly. In eSpeakNG's predecessor eSpeak, the initial version of each language was based on information found on Wikipedia. Some languages have had more work or feedback from native speakers than others. Most of the people who have helped to improve the various languages are blind users of text-to-speech.

Google Dictionary

Google Dictionary is an online dictionary service of Google that can be accessed by using the "define" operator and other similar phrases in Google Search. It is also available in Google Translate and in the form of an extension for Google Chrome. The dictionary content is licensed from Oxford University Press's It is available in different languages such as English, Spanish and French. The service also contains pronunciation audio, Google Translate, word origin chart, Ngram Viewer, and word games among other features for the English language version. Originally available as a standalone service it was integrated into Google Search with the separate service being discontinued in August 2011.

Microsoft's Bing also provides a similar dictionary service which licences dictionary data from Oxford Dictionaries as well. Apple also licences dictionary data from Oxford for its iOS and macOS products.

Google Text-to-Speech

Google Text-to-Speech is a screen reader application developed by Google for its Android operating system. It powers applications to read aloud (speak) the text on the screen which support many languages. Text-to-Speech may be used by apps such as Google Play Books for reading books aloud, by Google Translate for reading aloud translations providing useful insight to the pronunciation of words, by Google Talkback and other spoken feedback accessibility-based applications, as well as by third-party apps. Users must install voice data for each language.

Google Translator Toolkit

Google Translator Toolkit is a web application designed to allow translators to edit the translations that Google Translate automatically generates. With the Google Translator Toolkit, translators can organize their work and use shared translations, glossaries and translation memories. They can upload and translate Microsoft Word documents, OpenDocument, RTF, HTML, text, and Wikipedia articles.

Google Translator Toolkit is supported by Google Translate, a web-based translation service. Google Translator Toolkit can be configured to automatically pre-translate uploaded documents using Google Translate.

Google Translator Toolkit was released by Google Inc. on June 8, 2009. This product was expected to be named Google Translation Center, as had been announced in August 2008. However, the Google Translation Toolkit turned out to be a less ambitious product: "document rather than project-based, intended not as a process management package but simply another personal translation memory tool".Google claims that Google Translator Toolkit is part of their "effort to make information universally accessible through translation" and "helps translators translate better and more quickly through one shared, innovative translation technology". Originally the Google Translator Toolkit was meant to attract collaboratively-minded people, such as those who translate Wikipedia entries or material for non-governmental organizations. However, nowadays it is also more and more widely used in commercial translation projects."The significance of the Google Translator Toolkit is its position as a fully online software-as-a-service (SaaS) that mainstreams some backend enterprise features and hitherto fringe innovations, presaging a radical change in how and by whom translation is performed".

Jey Oil Refining Company

The Oil Refinery Jey or the Oil Refining Company Jey has been established in 2003; with the investment of Oil Industry Personnel Pension Fund, with a nominal capacity of 1'800'000 tons as the largest producer of bituminous units in the Middle East.The company has two production and storage sites in Isfahan and Bandar Abbas and the head office in Tehran. Isfahan site has 4 separate units for the production of blown bitumen, with a nominal capacity of 40,000 barrels per day, a bottoms of 7100 barrels per day and emulsion bitumen with a capacity of 200 tons per day. This site is a separate unit for the production of polymeric and modified bitumen with a capacity of 100'000 tons annually. G-Petroleum Laboratory is the most well-equipped industrial bitumen laboratory in the country and region, and has been recognized as the first International Accreditation Lab with 17025 Standard Certificate since 2007; The laboratory as a supplier of testing the results for various types of bitumen and associates of different inspection companies, which are including of SGS and Atlas in the region and also in the Bandar Abbas import and export terminals for various delivery services, all were launched in 1395 (2015). The complex consists of 8 tank units with a capacity of 3000 tons (total storage capacity of 24,000 tons), is designed, manufactured and operated on the basis of the international standards of ASTM , IPS , API and NFPA20.In order to establish an Integrated Management System (IMS), complying with the environmental requirements and quality of production, the company succeeded in obtaining ISO / IEC17025 certificates by 2012, ISO9001 to 2008, ISO / TS29001 to 2010, ISO14001 to 2004, ISO10015 to year 1999, BS-OHSAS18001 to 2007, and Iran's standardized ISIRI.


Kemerovo (Russian: Ке́мерово, IPA: [ˈkʲemʲɪrəvə]) is an industrial city and the administrative center of Kemerovo Oblast, Russia, located at the confluence of the Iskitim and Tom Rivers, in the major coal mining region of the Kuznetsk Basin. Its population was 532,981 in the 2010 Census; 484,754 in the 2002 Census; 520,263 in the 1989 Census.It was previously known as Shcheglovsk (until March 27, 1932).

List of Google apps for Android

e Google Play Store, although some may not show up in search results if they are listed as incompatible with your device (even though they may still function from an *.apk). Some of Google's apps may be pre-installed on some devices, depending upon the device manufacturer and the version of Android. A few of these apps, such as Gboard, are not supported on older versions of Android.

List of Iranian football transfers summer 2010

This is a list of Iranian football transfers for the 2010 summer transfer window. Only moves featuring at least one Iran Pro League or Azadegan League club are listed.The summer transfer window opened on 23 May 2010 and will close at midnight on 27 July 2010. Players without a club may join one at any time, either during or in between transfer windows. Clubs can also sign players on loan at any point during the season. If need be, clubs may sign a goalkeeper on an emergency loan, if all others are unavailable.

List of ethnic riots

This is a list of ethnic riots, sectarian riots, and race riots, by country.

Nicolás Medina

Nicolás Rubén Medina (born 17 February 1982 in Buenos Aires) is an Argentine footballer who currently plays for Sport Huancayo of the Peruvian Primera División in Peru. He primarily plays as a central midfielder "but his adaptability to function in almost all positions in midfield is admirable. He has great ball skills" and has also played as a defender at times in his career. He has accomplished more in his international career, especially in his early years as a world champion at the 2001 FIFA U20 Youth Championship as well as a gold medal at the 2004 Olympics, than he has in his club career. His journeyman club career was chronicled by Futbol Futbol Futbol, the South American football website.

Otavio Good

Otávio Good is a Brazilian and American computer programmer and inventor. He is the original author of Word Lens, the first augmented reality translation application that replaces printed text into the desired language in video without connection to the Internet.Because of its potential impact on international travel, Word Lens received significant amount of attention following its release on December 16, 2010, including Wired, The Economist, CNN, The New York Times, Forbes, The Wall Street Journal, and MIT Technology Review. To develop Word Lens, Otávio Good founded Quest Visual Inc., which was acquired by Google, Inc. in 2014, leading to the incorporation of the Word Lens feature into the Google Translate app in 2015.While at Google, Good became a spokesperson for machine learning efforts, explaining how it is possible to "squeeze" a high-quality convolutional neural network into a smartphone, and why machine learning is the "next underlying technology". Word Lens feature was expanded from 7 to 27 languages of the Google Translate app in 2015, and then to both simplified and traditional Chinese in 2016.Prior to Word Lens, Good was a video game developer and co-founded Secret Level Inc., which was acquired by Sega Inc. in 2006 and became Sega Studios San Francisco. In 2011, Otávio Good led the team All Your Shreds Are Belong to U.S. that won the DARPA Shredder Challenge 2011. Good was awarded the 2011 World Technology Award in the category IT-Software (Individual) presented at the United Nations headquarters and the Netexplo award in the category Innovation & Technology presented at the UNESCO headquarters. for creation of Word Lens.

Roberto Cantoral

Roberto Cantoral García (7 June 1935 – 7 August 2010) was a Mexican composer, singer and songwriter. He was known for composing a string of hit Mexican songs, including "El Triste", "Al Final", "La Barca" and "El Reloj" The Sociedad de Autores y Compositores de México (English: Society of Authors and Composers of Mexico) estimated that "La Barca" and "El Reloj" have been recorded over 1,000 times by other artists like Plácido Domingo, Gualberto Castro, José José, Luis Miguel, Joan Báez and Linda Ronstadt. In 2009, he won the Latin Grammy Trustee Award. Iconos, which was released by Marc Anthony in 2010, featured "El Triste".

Sofia Boutella

Sofia Boutella (Arabic: صوفيا بوتلة‎; born April 3, 1982) is a French-Algerian dancer, model and actress. Boutella has starred as Gazelle in Kingsman: The Secret Service (2014), an alien warrior named Jaylah in Star Trek Beyond (2016), and the main antagonist, Princess Ahmanet, in Universal's Dark Universe film The Mummy (2017). Also in 2017, she starred alongside Charlize Theron in Atomic Blonde, the film adaptation of the graphic novel The Coldest City, as undercover French agent Delphine Lasalle.

Tarzan and Jane (musical)

Tarzan and Jane - The Musical is an Israeli musical that generally follows the plot described in the Edgar Rice Burroughs' novel Tarzan. The musical was presented in theaters across the country in 2004.

The children's play was produced by Tamir Productions (טמיר הפקות), directed by Hanoch Rosen, written by Efraim Sidon, costumed by These Kolesnik, was performed in the Hebrew language, and ran for 62 minutes.

This is one of four musicals by Tamir Productions, along with Speed and Magic Wheels, Peter Pan, the award-winning The Jungle Book (Hebrew Wikipedia article).


Vienne (French pronunciation: ​[vjɛn]) is a department in the French region of Nouvelle-Aquitaine. It takes its name from the river Vienne.

Walloon Brabant

Walloon Brabant (French: Brabant wallon, Dutch: Waals-Brabant , Walloon: Roman Payis) is a province of Wallonia and Belgium. It borders on (clockwise from the North) the province of Flemish Brabant (Flemish Region) and the provinces of Liège, Namur and Hainaut (Wallonia). Its capital is Wavre.

The provincial population was recorded at 347,423 in January 1999, giving a population density of 318 inhabitants / km².

Z (TV channel)

Z is a Canadian French language Category A specialty channel owned by Bell Media. Z focuses on programming primarily from the science fiction, fantasy, and technology genres consisting of dramas, films, and documentaries.


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