Software:Moses (machine translation)
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Revision as of 09:23, 25 July 2022 by imported>Steve Marsio (link)
| Stable release | 4.0[1]
/ October 5, 2017 |
|---|---|
| Written in | C++, Perl |
| Operating system | Windows, Linux, macOS |
| Type | Machine translation |
| License | LGPL |
| Website | statmt |
Moses is a free software, statistical machine translation engine that can be used to train statistical models of text translation from a source language to a target language, developed by the University of Edinburgh.[2] Moses then allows new source-language text to be decoded using these models to produce automatic translations in the target language. Training requires a parallel corpus of passages in the two languages, typically manually translated sentence pairs. Moses is released under the LGPL licence and available both as source code and binaries for Windows[citation needed] and Linux. Its development is primarily supported by the EuroMatrix project, with funding by the European Commission.
Among its features are:
- A beam search algorithm that quickly finds the highest probability translation within a number of choices
- Phrase-based translation of short text chunks
- Handles words with multiple factored representations to enable the integration of linguistic and other information (e.g., surface form, lemma and morphology, part-of-speech, word class)
- Decodes ambiguous forms of a source sentence, represented as a confusion network, to support integration with upstream tools such as speech recognizers
- Support for large language models (LMs) such as IRSTLM (an exact LM using memory-mapping) and RandLM (an inexact LM based on Bloom filters)
See also
References
Further reading
- Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, Evan Herbst. (2007) "Moses: Open Source Toolkit for Statistical Machine Translation". Annual Meeting of the Association for Computational Linguistics (ACL), demonstration session, Prague, Czech Republic, June 2007.
External links
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