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The toolkit also provides an API on which to develop other localization tools. The toolkit is written in the Python programming language. It is free software originally developed and released by Translate.org.za in 2002 and is now maintained by Translate.org.za and community developers. Translate Toolkit uses Enchant as spellchecker.
A source-to-source translator, source-to-source compiler (S2S compiler), transcompiler, or transpiler [1] [2] [3] is a type of translator that takes the source code of a program written in a programming language as its input and produces an equivalent source code in the same or a different programming language.
Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]
On 21 March 2017, the PyPy project released version 5.7 of both PyPy and PyPy3, with the latter introducing beta-quality support for Python 3.5. [25] On 26 April 2018, version 6.0 was released, with support for Python 2.7 and 3.5 (still beta-quality on Windows). [26] On 11 February 2019, version 7.0 was released, with support for Python 2.7 and ...
Transifex (previously known as Indifex) is a globalization management system (GMS), a proprietary software, and a web-based translation platform. It targets technical projects with frequently updated content, such as software, documentation, and websites, and encourages the automation of the localization workflow by integrating with common developer tools.
Neural machine translation models available through the Watson Language Translator API for developers. [4] [5] Microsoft Translator: Cross-platform (web application) SaaS: No fee required: Final: No: 100+ Statistical and neural machine translation: Moses: Cross-platform: LGPL: No fee required: 4.0 [6] Yes
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 ]
Pipeline of Apertium machine translation system. This is an overall, step-by-step view how Apertium works. The diagram displays the steps that Apertium takes to translate a source-language text (the text we want to translate) into a target-language text (the translated text). Source language text is passed into Apertium for translation.