of <term> IE-enhanced text browsers </term> . At MIT Lincoln Laboratory , we have been developing
tool,14-1-H01-1041,bq CCLINC ( Common Coalition Language System at Lincoln Laboratory ) </term> . The <term> CCLINC
experiment in a series of experiments , looks at the <term> intelligibility </term> of <term>
were asked to mark the <term> word </term> at which they made this decision . The results
, intelligent agent </term> for execution at the appropriate <term> database </term> . <term>
them , they need to be more sophisticated at responding to the <term> user </term> . The
results from the <term> answering agents </term> at the <term> question , passage , and/or answer
information system </term> that has been developed at our laboratory . Experimental evaluation
independent of an <term> application </term> ) at a good level of <term> human agreement </term>
<term> words </term> or <term> phrases </term> at any distance in the <term> corpus </term> .
<term> word n-grams </term> and its application at the <term> character </term> level . The use
</term> level . The use of <term> BLEU </term> at the <term> character </term> level eliminates
<term> Senseval </term> series of workshops . At the same time , the recent improvements
suggests that <term> SMT models </term> are good at predicting the right <term> translation </term>
( i ) their <term> grammaticality </term> : at least 99 % correct <term> sentences </term>
their <term> equivalence in meaning </term> : at least 96 % correct <term> paraphrases </term>
statistical machine translation ( MT ) </term> aims at applying <term> statistical models </term>
<term> MT system </term> . In our demonstration at <term> ACL </term> , new <term> users </term> of
problems of <term> SMT </term> . Our work aims at providing useful insights into the the <term>
InfoMagnets </term> . <term> InfoMagnets </term> aims at making <term> exploratory corpus analysis
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