<term> adaptive learning procedure </term> is proposed to deal with the task of <term> syntactic
performance </term> in real applications . The proposed method remedies these problems by adjusting
accuracy rate </term> directly . To make the proposed algorithm robust , the possible variations
costly <term> dependency pointers </term> . The proposed scheme eliminates <term> redundant copying
the concept of <term> sublanguage </term> , is proposed for identifying <term> unknown words </term>
, in <term> Chinese newspapers </term> . The proposed mechanism includes <term> title-driven name
real-time response </term> . We have already proposed a model , <term> TDMT ( Transfer-Driven Machine
<term> part-of-speech-based criterion </term> is proposed . We postulate that <term> source texts </term>
</term> for <term> Horn logic program </term> is proposed . It is also a drastic generalization of
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