two <term> formalisms </term> . We then turn to a discussion comparing the <term> linguistic
patterns </term> in a large <term> corpus </term> . To a large extent , these <term> statistics </term>
Our <term> logical definition </term> leads to a neat relation to <term> categorial grammar
</term> from a <term> reconstruction </term> to a <term> recognition task </term> . Implications
For many reasons , it is highly desirable to accurately estimate the <term> confidence
question-answering ( Q/A ) system </term> designed to address the challenges of integrating <term>
technology </term> development initiative to advance the state of the art in <term> CSR
the detected <term> homophone errors </term> . To align <term> bilingual texts </term> becomes
quantifiers </term> which are approximations to all and always , e.g. , almost all , almost
are <term> monolingual </term> . We also refer to an <term> evaluation method </term> and plan
i.e. , retrieving examples most similar to an input expression , is the most dominant
it is fully automatic and can be applied to arbitrary <term> HTML documents </term> . The
</term> in a program roughly corresponding to <term> arcs </term> in a <term> chart </term> .
mirrors a forecaster 's apparent tendency to ascribe less precise <term> temporal adverbs
complexity </term> . In this paper a novel solution to automatic and <term> unsupervised word sense
In this paper , we evaluate an approach to automatically acquire <term> sense-tagged
quasi-destructive scheme 's ability </term> to avoid <term> over copying </term> and <term>
presents a <term> machine learning </term> approach to bare <term> sluice disambiguation </term> in
complete and correct interpretations has to be abandoned . However , our experience
</term> . <term> Chat-80 </term> has been designed to be both efficient and easily adaptable
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