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 (in English) translate.yandex.ru (in Russian)
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 December 2025, translation is available in 107 languages:

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

External links

• Yandex.Translate (in English)