Recent Research
The field of machine translation has seen major changes in the last few years. Currently a large amount of research is being done into statistical machine translation and example-based machine translation. In the area of speech translation, research has focused on moving from domain-limited systems to domain-unlimited translation systems. In different research projects in Europe (like ) and in the United States (STR-DUST and ) solutions for automatically translating Parliamentary speeches and broadcast news have been developed. In these scenarios the domain of the content is no longer limited to any special area, but rather the speeches to be translated cover a variety of topics. More recently, the French-German project Quaero investigates possibilities to make use of machine translations for a multi-lingual internet. The project seeks to translate not only webpages, but also videos and audio files found on the internet.
Today, only a few companies use statistical machine translation commercially, e.g. Asia Online, SDL International / Language Weaver (sells translation products and services), Google (uses their proprietary statistical MT system for some language combinations in Google's language tools), Microsoft (uses their proprietary statistical MT system to translate knowledge base articles), and Ta with you (offers a domain-adapted machine translation solution based on statistical MT with some linguistic knowledge). There has been a renewed interest in hybridisation, with researchers combining syntactic and morphological (i.e., linguistic) knowledge into statistical systems, as well as combining statistics with existing rule-based systems.
Read more about this topic: History Of Machine Translation
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