carries important information yet it is also time consuming to document . Given the
<term> industry watch </term> function . We also report results of a preliminary , <term>
database </term> . <term> Requestors </term> can also instruct the <term> system </term> to notify
language identification </term> . The paper also proposes <term> rule-reduction algorithm </term>
retrieval accuracy </term> , but much faster . We also provide evidence that our findings are
to perform an exhaustive comparison , we also evaluate a <term> hand-crafted template-based
target <term> recognition task </term> , but also that it is possible to get bigger performance
predicate-argument structures </term> . We also introduce a new way of automatically identifying
<term> sense coverage </term> . Our analysis also highlights the importance of the issue
</term> than that of <term> LTAG </term> . We also investigate the reason for that difference
source-channel transliteration model </term> , also called <term> n-gram transliteration model
extensive system development effort but also improves the <term> transliteration accuracy
</term> over the <term> wordform model </term> . Also , the <term> WSD system based on lemmas </term>
English </term> and <term> Chinese </term> , and also exploits the large amount of <term> Chinese
<term> statistical translation model </term> is also presented that deals such <term> phrases </term>
of <term> CMU 's SMT system </term> . It has also successfully been coupled with <term> rule-based
research </term> . This piece of work has also laid a foundation for exploring and harvesting
equivalence </term> and <term> entailment </term> . We also introduce a novel <term> classification method
model ’s score </term> of 88.2 % . The article also introduces a new <term> algorithm </term> for
statistical machine translation system </term> . We also show that a good-quality <term> MT system
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