Moses Statistical Machine Translation
The facts below are what the maker publishes about Moses Statistical Machine Translation, checked and dated. Our editors have not written about it yet.
The facts
Each one read from Moses Statistical Machine Translation's own pages, with the date it was checked.
What it does
- Ambiguous input
- It can decode confusion networks and word lattices, which can support integration with upstream tools such as speech recognizers or morphological analyzers.checked 12 Oct 2026
- API access
- Yeschecked 20 Sep 2026
- Command line
- The released software includes a command-line executable for decoding, and the decoder source is available from GitHub.checked 12 Oct 2026
- Decoding
- Its search algorithm finds the highest probability translation among the available choices, and the released software includes a command-line decoder.checked 12 Oct 2026
- Dependencies
- The guide says Moses requires a word-alignment tool such as GIZA++, MGIZA, or Fast Align, and includes KenLM for language-model creation.checked 12 Oct 2026
- Document translation
- Nochecked 20 Sep 2026
- Experiment management
- The site lists an Experiment Management System as a tool for using Moses.checked 12 Oct 2026
- External tools
- Moses requires a word alignment tool, with GIZA++, MGIZA, and Fast Align listed as examples.checked 12 Oct 2026
- Factored models
- Factored translation models let users integrate linguistic and other information at the word level.checked 12 Oct 2026
- Input integration
- Moses can decode confusion networks and word lattices, supporting integration with upstream tools such as speech recognizers and morphological analyzers.checked 12 Oct 2026
- Language models
- The setup documentation says Moses includes KenLM's lmplz program and also describes using IRSTLM or SRILM to create language models.checked 12 Oct 2026
- License
- Moses is licensed under the LGPL.checked 12 Oct 2026
- Model types
- Moses offers phrase-based and tree-based translation models.checked 12 Oct 2026
- Package caveat
- The site says the packaged Moses versions it lists are not maintained or endorsed by the core Moses developers.checked 12 Oct 2026
- Purpose
- Moses is a statistical machine translation system that can automatically train translation models for any language pair from a parallel corpus.checked 12 Oct 2026
- Security and compliance
- The opened maker pages provide no security or compliance claims.checked 12 Oct 2026
- Server interface
- The Moses server can accept translation sentences through XML-RPC, with clients written in languages including Java, Perl, Python, and PHP.checked 12 Oct 2026
- Server requirements
- Building the server requires xmlrpc-c and a multi-threaded Moses build.checked 12 Oct 2026
- Serving interface
- The Moses server can accept translation sentences through XML-RPC, with clients written in languages that have XML-RPC libraries; building it requires xmlrpc-c.checked 12 Oct 2026
- Support
- The site directs questions to the moses-support mailing list and asks users to search documentation and mailing-list archives first.checked 12 Oct 2026
- Supported environments
- The getting-started guide identifies Linux as the primary and recommended development platform, describes Mac OS X support, and says Windows use is through the Ubuntu subsystem.checked 12 Oct 2026
The company
- Founded
- 2005checked 28 Sep 2026
Money
- Free plan
- Yeschecked 20 Sep 2026
Where it runs
- Platforms
- The documentation names Linux as the primary and recommended development platform, says macOS is widely used by developers, and describes running on Windows 10 through the Ubuntu subsystem.checked 12 Oct 2026
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