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Project Summary
Factored phrase-based, hierarchical and syntax decoder for statistical machine translation
Moses is a statistical machine translation system that allows you to automatically train translation models for any language pair. All you need is a collection of translated texts (parallel corpus). An efficient search algorithm finds quickly the highest probability translation among the exponential number of choices.
In a Nutshell, Moses SMT Decoder...
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took an estimated 428 years of effort (COCOMO model)
starting with its first commit in July, 2006
ending with its most recent commit 5 months ago
Quick Reference
https://github.com/moses-smt/mos...
GNU Lesser General Public License v2.1 only
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These details are provided for information only. No information here is legal advice and should not be used as such.
This Project has No vulnerabilities Reported Against it
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