Software:Yandex Translate

Short description: Translation web service by Yandex

Yandex Translate

Yandex.Translate homepage in English
Type of site	Neural machine translation
Available in	Yandex Translate languages; see below Interface: 13 languages including English, Russian, Turkish, Ukrainian
Owner	Yandex
Website	translate.yandex.com translate.yandex.ru
Commercial	Yes
Registration	Optional
Launched	22 March 2011 (2011-03-22)
Current status	Active

thumb Yandex Translate (Russian: Яндекс Переводчик, romanized: Yandeks Perevodchik) is a web service provided by Yandex, intended for the translation of web pages into another language.

The service uses a self-learning statistical machine translation, developed by Yandex. The system constructs the dictionary of single-word translations based on the analysis of millions of translated texts. In order to translate the text, the computer first compares it to a database of words. The computer then compares the text to the base language models, trying to determine the meaning of an expression in the context of the text.

In September 2017, Yandex.Translate switched to a hybrid approach incorporating both statistical machine translation and neural machine translation models.

The translation page first appeared in 2009 , utilizing PROMT, and was also built into Yandex Browser itself, to assist in translation for websites.

Supported languages

Immediately after the launch of the translator in beta mode in the spring of 2010, it was only available in three languages — English, Russian and Ukrainian, with a limit of 10,000 characters.

Yandex.Translate has some languages that are missing from Google Translate, such as Russia's national minority languages.

As of June 2026, translation is available in 114 languages:

1. Abaza β
2. Abkhaz β
3. Adyghe β
4. Afrikaans
5. Albanian
6. Amharic β
7. Arabic
8. Armenian
9. Azerbaijani
10. Bashkir
11. Basque
12. Belarusian
13. Bengali
14. Bosnian
15. Bulgarian
16. Burmese β
17. Buryat β
18. Catalan
19. Cebuano
20. Chechen
21. Chinese
22. Chuvash
23. Croatian
24. Czech
25. Danish
26. Dutch
27. Elvish (Sindarin) α
28. Emoji ^{(Not a natural language)}
29. English
30. Erzya
31. Esperanto
32. Estonian
33. Finnish
34. French
35. Galician
36. Galtaran ^{(Not a natural language, font for Russian from the series Aeterna)}
37. Georgian
38. German
39. Greek
40. Gujarati
41. Haitian
42. Hebrew
43. Hill Mari
44. Hindi
45. Hungarian
46. Icelandic
47. Indonesian
48. Irish
49. Italian
50. Japanese
51. Javanese
52. Kabardian β
53. Kannada
54. Karachay-Balkar β
55. Kazakh (Cyrillic and Latin β)
56. Khakas β
57. Khmer
58. Komi
59. Korean
60. Kyrgyz β
61. Lao β
62. Latin
63. Latvian
64. Lithuanian
65. Luxembourgish
66. Macedonian
67. Malagasy
68. Malay
69. Malayalam β
70. Maltese
71. Mansi β
72. Maori
73. Marathi
74. Mari (Meadow)
75. Moksha
76. Mongolian β
77. Nepali
78. Nogai β
79. Norwegian
80. Ossetian
81. Papiamento β
82. Persian
83. Polish
84. Portuguese (European and Brazilian)
85. Punjabi
86. Romanian
87. Russian
88. Scottish Gaelic
89. Serbian (Cyrillic and Latin)
90. Sinhalese
91. Slovak
92. Slovenian
93. Spanish
94. Sundanese
95. Swahili
96. Swedish
97. Tagalog
98. Tajik β
99. Tamil β
100. Tatar
101. Telugu β
102. Thai
103. Turkish
104. Tuvan
105. Udmurt
106. Ukrainian
107. Urdu
108. Uzbek (Latin and Cyrillic)
109. Vietnamese
110. Welsh
111. Xhosa β
112. Yakut β
113. Yiddish
114. Zulu

The translation direction is determined automatically. It is possible to translate words, sentences, or web pages if needed. There is also the option to view both the translation and the original at the same time in a two-window view. In addition to machine translation, there is also an accessible and complete English-Russian and Russian-English dictionary. There is an app for devices based on the iOS software,

Translation methodology

According to Arkady Volozh, founder and CEO of Yandex, the mechanism of Translate is as follows:

“ Previously, machine translation was based on "the meaning of the text" model: take any language, translate the words in the universal language of the senses, and then translate these meanings in the words of another language – and obtain the translated text. This model prevailed in the 1970s-1980s and automated in the 1990s. All translations of the 1990s built on this ideology. In the 2000s, there was a search, and it became clear: to translate the text, does not necessarily understand the meaning. Humanity has translated so much already that the probability of finding two similar network in the text in different languages is quite large. How to determine that it is the same text? Very simple. They contain many of the same words. If the document of 1,000 words dictionary 800 are a pair, then most likely, it is a translation from one language to another. And then it is already possible to break the text into paragraphs, to offer and something to do with this work. That is, the machine translations are not words, but finished pieces, the machine is capable of doing. In fact, if you think about it, this method of translation even more consistent with the way a person learns the language as a child in real life. After all, we hardly think in terms of "meaning-text", when we say, for example: "Take a pear". ”

In addition to the free version for users, there is a commercial API online translator (free up to 10 million characters, then paid), designed primarily for the localization of sites of Internet shops and travel companies.

Features

• the mobile app for iOS is available for the transliteration of the Arabic, Armenian, Chinese (Pinyin), Georgian, Greek, Hebrew, Japanese, Korean and Persian languages;
• voice input;
• photo text translation feature (uses its own OCR (optical character recognition) technology) – in apps for mobile phones;
• the "Suggest translation" button (user patches to help improve the quality of machine translations);
• the "Favorites" section, where you can add translations of individual words and sentences;
• virtual keyboard.

See also

• Apertium
• Comparison of machine translation applications
• Google Translate
• Microsoft Translator
• PROMT
• StarDict
• SYSTRAN

External links

• Yandex.Translate (in English)