Machine translation
Machine translation software are of two kinds :- Translation memory : is based on an existing resource of bilingual translation data. It stores recurring sentences or phrases and the translations that were made. Later these translations can just be used again. These are also called CAT-programs (Computer Aided Translation)
- Automatic translation : the computer analyses the text and translates it based on software rules
The correct spelling of words is important since incorrect spelling can have substantial negative impact an the machine translations output quality. Misspelled words cannot be matched to entires in the dictionaries. As a result, these words go untranslated. A more isidious effect results from the fact that unknown words are assing default part of speech. If the default part of speech is incorrect, other decisions concerning the syntactic structure of the sentence may be incorrect as well.
In Western European languages blank spaces are the primary indicator of a word boundary, in Chinese (and other Asian languages) blank spaces are not used to mark word boundries and word segmentation is a more complex task that uses morphological and syntactic information.
Technical text are more appropiate for machine translation since they're less ambigui.
Links
Language processing
Localization Directory, Resources and Information
MT Summit IX
MT Summit VII
White papers by Systran
Chinesecomputing.com - Machine translation
Systranbox (also known as bablefish).
Organisations
EAMT (European Association for Machine Translation)
AMTA (Association for Machine Translation in the Americas
AAMT (Asia-Pacific Association for Machine Translation
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