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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]
Its tools support many languages, including Arabic, Chinese, English, French, Hebrew, Spanish, Italian, Turkish, Ukrainian and Russian. Since its founding Reverso has provided machine translation tools for automated translation of texts in various languages, including neural machine translation.
DeepL for Windows translating from Polish to French. The translator can be used for free with a limit of 1,500 characters per translation. Microsoft Word and PowerPoint files in Office Open XML file formats (.docx and .pptx) and PDF files up to 5MB in size can also be translated.
It has Arabic to English translations and English to Arabic, as well as a significant quantity of technical terminology. It is useful to translators as its search results are given in context. [ 6 ] Almaany offers correspondent meanings for Arabic terms with semantically similar words and is widely used in Arabic language research. [ 7 ]
Albert Kazimirski de Biberstein, Dictionnaire arabe-français contenant toutes les racines de la langue arabe, Tome 1 (1846) & 2 (1850), G.-P. Maisonneuve (Paris). Influential Arabic dictionaries in modern usage: English: Collins Dictionaries, Collins Essential - Arabic Essential Dictionary, Collins, Glasgow 2018. [21]
A Dictionary of Modern Written Arabic (originally published in German as Arabisches Wörterbuch für die Schriftsprache der Gegenwart 'Arabic dictionary for the contemporary written language'), also published in English as The Hans Wehr Dictionary of Modern Written Arabic, is a translation dictionary of modern written Arabic compiled by Hans Wehr. [1]
For example, statistical machine translation (SMT) typically outperforms example-based machine translation (EBMT), but researchers found that when evaluating English to French translation, EBMT performs better. [64] The same concept applies for technical documents, which can be more easily translated by SMT because of their formal language.
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.