conducted with the U.S. military . This paper proposes a practical approach employing <term> n-gram
language identification </term> . The paper also proposes <term> rule-reduction algorithm </term> applying
language generator </term> have recently been proposed , but a fundamental concern is whether
a <term> baseline </term> of 54.55 % ) . We propose a new <term> phrase-based translation model
evaluate and compare several , previously proposed <term> phrase-based translation models </term>
output selection </term> . Furthermore , we propose the use of standard <term> parser evaluation
phrase </term> length . In this paper , we propose a novel <term> Cooperative Model </term> for
quality <term> IE </term> results . This paper proposes the <term> Hierarchical Directed Acyclic
of the <term> HDAGs </term> . We applied the proposed method to <term> question classification </term>
A novel <term> evaluation scheme </term> is proposed which accounts for the effect of <term> polysemy
accuracy </term> can be improved . This paper proposes a method for resolving this <term> ambiguity
use <term> hand-crafted rules </term> , the proposed <term> method </term> enables easy design of
that a <term> system </term> that exploits the proposed <term> method </term> performs sufficiently
users </term> , the <term> user model </term> we propose is more comprehensive . Specifically ,
means </term> for <term> grounding </term> , and propose a design for <term> embodied conversational
on <term> word similarity </term> results , proposing an objective <term> measure </term> for evaluating
To overcome this limitation , this paper proposes a method utilizing the perceptual groups
using another 23 subjects showed that the proposed method could effectively generate proper
transliteration model ( ngram TM ) </term> , is further proposed to model the <term> transliteration process
transliteration process </term> . We evaluate the proposed methods through several <term> transliteration/back
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