real-time response </term> . We have already proposed a model , <term> TDMT ( Transfer-Driven Machine
We first apply approaches that have been proposed for <term> predicting top-level topic shifts
language generator </term> have recently been proposed , but a fundamental concern is whether
transliteration model ( ngram TM ) </term> , is further proposed to model the <term> transliteration process
the concept of <term> sublanguage </term> , is proposed for identifying <term> unknown words </term>
from a <term> word-aligned corpora </term> is proposed . A <term> statistical translation model </term>
<term> part-of-speech-based criterion </term> is proposed . We postulate that <term> source texts </term>
modification of the <term> document </term> is proposed . The explanation of an <term> ambiguity </term>
approach to restricted-domain parsing </term> is proposed . In this approach , the definitions of
<term> adaptive learning procedure </term> is proposed to deal with the task of <term> syntactic
</term> for <term> Horn logic program </term> is proposed . It is also a drastic generalization of
A novel <term> evaluation scheme </term> is proposed which accounts for the effect of <term> polysemy
relations </term> between <term> segments </term> is proposed . This method is precise and <term> computationally
<term> synonymous expressions </term> . Our proposed method improves the <term> accuracy </term>
evaluate and compare several , previously proposed <term> phrase-based translation models </term>
use different <term> dialog schemata </term> proposed in empirical <term> conversation analysis
use <term> hand-crafted rules </term> , the proposed <term> method </term> enables easy design of
performance </term> in real applications . The proposed method remedies these problems by adjusting
, in <term> Chinese newspapers </term> . The proposed mechanism includes <term> title-driven name
costly <term> dependency pointers </term> . The proposed scheme eliminates <term> redundant copying
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