improved <term> speech recognition </term> has brought to light a new problem : as <term>
system response </term> to <term> users </term> has been extensively studied by the <term> natural
</term> , where each <term> word string </term> has been obtained by using a different <term>
concatenation grammar [ RCG ] formalism </term> has revealed many attractive properties which
shortcomings of different strategies and has all the advantages of the three strategies
baseline methods </term> . Previous research has demonstrated the utility of <term> clustering
system </term> . <term> Link detection </term> has been regarded as a core technology for
Kyoto city bus information system </term> that has been developed at our laboratory . Experimental
that our <term> filtering mechanism </term> has a significant positive effect on both tasks
an approach to <term> summarization </term> has been shown to work in <term> documents </term>
estimate the <term> confidence </term> the system has in the correctness of each <term> extracted
, a <term> probabilistic model </term> which has performed well on <term> information extraction
lexical sample task </term> . Much effort has been put in designing and evaluating dedicated
accuracy </term> of <term> SMT models </term> has never been evaluated and compared with
translation system </term> . <term> STTK </term> has been developed by the presenter and co-workers
basis of <term> CMU 's SMT system </term> . It has also successfully been coupled with <term>
empirical MT research </term> . This piece of work has also laid a foundation for exploring and
Arabic-English translation task </term> . Previous work has used <term> monolingual parallel corpora </term>
measure </term> with <term> human judgment </term> has been investigated systematically on two
evidence of its usefulness and usability , it has been used successfully in a research context
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