![]() The Moses site provides links to training corpora.) (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user. The following table compares the number of languages which the following machine translation programs can translate between. Please help update this article to reflect recent events or newly available information. The reason given is: I suspect the entries/totals might be out of date on some tools listed in the present table too. ![]() Hybrid, rule-based, statistical machine translation and neural machine translation $200 (desktop) – $15,000 and up (enterprise server) Hybrid, rule-based, statistical and neural machine translation Supports phrase-based, hierarchical phrase-based, and syntax-based (string-to-tree, tree-to-string, and tree-to-tree) models for research purposes. ĭrop-in replacement for Pharaoh, features factored translation models and decoding of confusion networks.įree open source based on Moses translation memories integration.Ĭompetitive performance for Chinese translation tasks statistical machine translation. Neural machine translation models available through the Watson Language Translator API for developers. Statistical and neural machine translationīoth rule-based and statistical models developed by IBM Research. No fee required, paid "Pro" version available Prompts to install the Babylon Toolbar, a browser hijacker which is difficult to remove. Rule-based, shallow transfer all programs and language data are free and open sourceĭepends on license ($9.90–$89 for one license) Rule-based, deep parser based, paninian framework based all programs and language data are free and open-sourceĬross-platform (web application), Unix compatible, precompiled packages available for Debian Machine translation is an algorithm which attempts to translate text or speech from one natural language to another.īasic general information for popular machine translation applications.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |