available on the <term> surface </term> and could be used directly . Despite the small size of the
small size of the <term> databases </term> used some results about the effectiveness of
and <term> scenario templates </term> - can be used to enhance access to <term> text collections
</term> . We describe how this information is used in a <term> prototype system </term> designed
many attractive properties which may be used in <term> NLP </term> . In particular , <term>
<term> unsupervised training </term> is first used to train a <term> phone n-gram model </term>
</term> . First , <term> decision list </term> is used to learn the <term> parsing-based NE rules
Monolingual , unannotated text </term> can be used to further improve the <term> stemmer </term>
performance and the <term> algorithm </term> can be used for many <term> highly inflected languages
parallel corpora </term> , which are then used for disambiguating the <term> nouns </term>
structure of <term> email-threads </term> can be used to improve upon <term> lexical similarity
very encouraging results . The same system used in a <term> validation mode </term> , can be
in a <term> validation mode </term> , can be used to check and spot <term> alignment errors
show that <term> MBR decoding </term> can be used to tune <term> statistical MT </term> performance
</term> . The <term> probabilistic model </term> used in the <term> alignment </term> directly models
<term> algorithms </term> that are currently used in the literature . Following recent developments
and demonstrate how our application can be used by <term> developers </term> to explore <term>
well established . Yet , they are scarcely used for the assessment of <term> language pairs
tool kit </term> , will be introduced and used to build a working <term> translation system
over a number of years and is currently used as the basis of <term> CMU 's SMT system </term>
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