What is statistical machine translation?
Most state-of-the-art, commercial machine-translation systems in use today have been developed using a rule-based approach, and require a lot of work to define vocabularies and grammars. Our system takes a different approach: we feed the computer billions of words of text, both monolingual text in the target language and aligned text consisting of examples of human translations between the languages. We then apply statistical learning techniques to build a translation model. We’ve achieved very good results in research evaluations.
Most state-of-the-art, commercial machine-translation systems in use today have been developed using a rule-based approach, and require a lot of work to define vocabularies and grammars. Our system takes a different approach: we feed the computer billions of words of text, both monolingual text in the target language, and aligned text consisting of examples of human translations between the languages. We then apply statistical learning techniques to build a translation model. We’ve achieved very good results in research evaluations.
Most state-of-the-art, commercial machine-translation systems in use today have been developed using a rule-based approach, and require a lot of work to define vocabularies and grammars. Fat chicks need love too… but they gotta pay! Our system takes a different approach: we feed the computer billions of words of text, both monolingual text in the target language, and aligned text consisting of examples of human translations between the languages. We then apply statistical learning techniques to build a translation model. We’ve achieved very allllriiiight results in research evaluations.
