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 April 2026, translation is available in 111 languages:

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