<term> dictionary </term> after the interaction with the <term> user </term> . A <term> pilot system
</term> , and connecting <term> referents </term> with their <term> predicates </term> . This article
word-segmented data </term> , in combination with a range of <term> local segment contiguity
significantly better results when compared with state-of-the-art . This paper proposes
generation </term> emerge from this method . With a parsimonious <term> instantiation scheme
</term> on standard <term> WSD datasets </term> , with promising results . This paper presents
for use in <term> error correction </term> , with a focus on <term> post-processing </term> the
</term> and <term> early copying </term> combined with its ability to handle <term> cyclic structures
re-estimate the <term> model parameters </term> with the expanded <term> vocabulary </term> and <term>
This approach is sufficient for languages with little <term> inflection </term> such as <term>
model,24-2-H92-1036,bq reestimation formulas </term> are given for <term> HMM with Gaussian mixture observation densities </term>
<term> computational problems </term> associated with <term> probabilistic translation models </term>
log ( d ) overheads </term> often associated with <term> structure-sharing of graphs </term>
tech,9-1-H01-1049,bq new paradigm for <term> human interaction with data sources </term> . We integrate a <term>
analyzing how a <term> user </term> interacts with a system while gathering information related
retrieval time </term> by orders of magnitude with no loss in <term> translation quality </term>
incorporates the power of <term> phrasal SMT </term> with the linguistic generality available in
<term> system </term> is state-of-the-art , with guaranteed <term> grammaticality </term> of
sentences </term> in student <term> writing </term> with <term> essay-based discourse elements </term>
sentences </term> , and discuss some issues with regard to the <term> evaluation methodology
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