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Reverso's suite of online linguistic services has over 96 million users, and comprises various types of language web apps and tools for translation and language learning. [11] Its tools support many languages, including Arabic, Chinese, English, French, Hebrew, Spanish, Italian, Turkish, Ukrainian and Russian.
A 2010 analysis indicated that French to English translation is relatively accurate, [139] and 2011 and 2012 analyses showed that Italian to English translation is relatively accurate as well. [ 140 ] [ 141 ] However, if the source text is shorter, rule-based machine translations often perform better; this effect is particularly evident in ...
The original series initially consisted of 3 million records (Persian: فیش (French: fiche) or برگه "barge") (up to 100 meanings/records for each word or proper noun) until Dehkhoda's death in March 1956, and currently contains 343,466 entries that, according to the latest digital release of the dictionary by Tehran University Press ...
If you’re wondering how to write $450 in words on a check, that would make $450 look like “Four hundred fifty and 00/100.” The fraction is there to protect you if someone intercepts your check.
WordReference is an online translation dictionary for, among others, the language pairs English–French, English–Italian, English–Spanish, French–Spanish, Spanish–Portuguese and English–Portuguese. WordReference formerly had Oxford Unabridged and Concise dictionaries available for a subscription.
A calque / k æ l k / or loan translation is a word or phrase borrowed from another language by literal, word-for-word (Latin: "verbum pro verbo") translation. This list contains examples of calques in various languages.
After being integrated into Google Search, the dictionary was discontinued as a separate service on August 5, 2011, [10] [13] and can now be accessed with the "define" operator or by simply searching for a word. [2] [13] The dictionary service is also still available in Google Translate and can be accessed by selecting a single word. [13]
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.