tool kit </term> , will be introduced and used to build a working <term> translation system
respectful words ) . <term> Honorifics </term> are used extensively in <term> Japanese </term> , reflecting
while <term> inheritance mechanisms </term> are used to capture <term> lexical generalizations
<term> semantic constraints </term> and thus are used to disambiguate <term> anaphora references
algorithm </term> . In addition , it could also be used to help evaluate <term> disambiguation algorithms
and <term> scenario templates </term> - can be used to enhance access to <term> text collections
in a <term> validation mode </term> , can be used to check and spot <term> alignment errors
performance and the <term> algorithm </term> can be used for many <term> highly inflected languages
and demonstrate how our application can be used by <term> developers </term> to explore <term>
show that <term> MBR decoding </term> can be used to tune <term> statistical MT </term> performance
structure of <term> email-threads </term> can be used to improve upon <term> lexical similarity
syntactic and semantic expectations </term> can be used to figure out <term> unknown words </term>
<term> user model </term> is and how it can be used . The types of information that a <term>
extremely strong ( 98 % ) . This result can be used as an additional source of <term> constraint
. We show how <term> sampling </term> can be used to reduce the <term> retrieval time </term>
Monolingual , unannotated text </term> can be used to further improve the <term> stemmer </term>
of <term> equivalences </term> , which can be used to simplify <term> formulas </term> . <term>
available on the <term> surface </term> and could be used directly . Despite the small size of the
many attractive properties which may be used in <term> NLP </term> . In particular , <term>
which the principles of the system might be used , and the aim in building it was simply
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