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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]
Google Translator Toolkit by default used Google Translate to automatically pre-translate uploaded documents which translators could then improve. Google Inc released Google Translator Toolkit on June 8, 2009. [2] This product was expected to be named Google Translation Center, as had been announced in August 2008.
GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2] GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [ 2 ]
Hybrid, rule-based, statistical and neural machine translation [7] SYSTRAN: Cross-platform (web application) Proprietary software: $200 (desktop) – $15,000 and up (enterprise server) Version 7: No: 50+ Hybrid, rule-based, statistical machine translation and neural machine translation: Yandex.Translate: Cross-platform (web application) SaaS ...
Google's service for Indic languages was first launched as an online text editor, Google Indic Transliteration, designed to allow users to input text in native scripts using Latin characters. Due to the increasing demand for such tools across multiple language groups, it expanded its support to other scripts and was later renamed simply Google ...
OmegaT is another translation tool that can translate PO files. It is written in Java so it is available for multiple platforms (including Linux and Windows). It can be downloaded from SourceForge. GNU Gettext (Linux/Unix) used for the GNU Translation Project. Gettext also provides msgmerge that makes merging translations easy.
A number of computer-assisted translation software and websites exists for various platforms and access types. According to a 2006 survey undertaken by Imperial College of 874 translation professionals from 54 countries, primary tool usage was reported as follows: Trados (35%), Wordfast (17%), Déjà Vu (16%), SDL Trados 2006 (15%), SDLX (4%), STAR Transit [fr; sv] (3%), OmegaT (3%), others (7%).
OmegaT can calculate statistics for the project files and translation memories before the project starts, or during the translation to show the progress of the translation job. OmegaT can get machine translations from Apertium, Belazar, Deepl and Google Translate, and display it in a separate window.