Translation Engines: Techniques for Machine Translation: Techniques for Machine Translations
Machine translation (MT) is the area of computer science and applied linguistics dealing with the translation of human languages such as English and German.
MT on the Internet has become an important tool by providing fast, economical and useful translations. With globalisation and expanding trade, demand for translation is set to grow.
Translation Engines covers theoretical and practical aspects of MT, both classic and new, including:
- Character sets and formatting languages
- Translation memory
- Linguistic and computational foundations
- Basic computational linguistic techniques
- Transfer and interlingua MT
Software accompanies the text, providing readers with hands on experience of the main algorithms.
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algorithm alignment ambiguity analysis applied approach arguments bilingual characters Chart parsing clause collocation complement computational Computational Linguistics constituents constraints context corpus corresponding depending disambiguation divergences dynamic programming edge encoding English evaluation example expressed fonts formatting frame given grammar indicates input interlingua involves KBMT language lexemes lexical entries lexical items lexicalist LexMT linguistic logical Machine Translation match Mikrokosmos modifiers monolingual morphemes morphological MT systems node normally noun ontology output pair parsing phrase possible predicate probability problem Prolog pronoun recursive relation relative clause relevant representation restrictions result retrieval rewriting Section selected semantic sequence source and target Spanish specific string structure subcat list symbol syntactic syntactic categories tagger target text techniques terminology tion TL sentence transfer rules transformations translation memory tree tuples Unicode unification UNITRAN variable verb word word sense disambiguation