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Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3]
Spanish manzana de Adán calques English Adam's apple (nuez de Adán, meaning "Adam's nut", in standard Spanish), which in turn is a calque of French pomme d'Adam See also: Spanglish Also technological terms calqued from English are used throughout the Spanish-speaking world:
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.
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.
The dictionary content is licensed from Oxford University Press's Oxford Languages. [3] It is available in different languages, such as English, Spanish and French. The service also contains pronunciation audio, Google Translate, a word origin chart, Ngram Viewer, and word games, among other features for the English-language version.
A bilingual dictionary or translation dictionary is a specialized dictionary used to translate words or phrases from one language to another. Bilingual dictionaries can be unidirectional , meaning that they list the meanings of words of one language in another, or can be bidirectional , allowing translation to and from both languages.
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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.