Language Weaver - Statistical Machine Translation
Jun 17th, 2007 by Julia
Language Weaver is a Los Angeles, California based company that was founded by USC’s Kevin Knight and Daniel Marcu, marketing a new software product that learns a language by itself by reading a lot of text (extracting probabilistic translation dictionaries, patterns, and rules), and therefore is able to translate it.
It is hoped that one day such software will be able to find grammatical rules in languages that humans have not been able to pick up on. The program uses probability and cryptographic approach to translate a language. One limitation to the program is its requirement of computing power. Language Weaver products currently can translate fifteen languages, such as English, Arabic, Chinese, French, & Spanish, among others. The statistical approach employed by Language Weaver requires large amounts of previously translated text in order to develop the system for a new language. This makes developing systems for lesser-known languages more of a challenge. Their customization server product allows users to modify the translation product’s behavior to better handle highly technical & other specialized domains.
Source Wikipedia.(This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article “Metasyntactic variable”)