Concordance

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</term> of the <term> discourse </term> aggregate	into	<term> segments </term> , recognizing the <term>	#14337 Discourse processing requires recognizing how the utterances of the discourse aggregate into segments, recognizing the intentions expressed in the discourse and the relationships among intentions, and tracking the discourse through the operation of the mechanisms associated with attentional state.
the results of which will be incorporated	into	a <term> natural language generation system	#15233 This research is part of a larger study of anaphoric expressions, the results of which will be incorporated into a natural language generation system.
different amounts and types of information	into	its <term> lexicon </term> according to its	#15934 Although every natural language system needs a computational lexicon, each system puts different amounts and types of information into its lexicon according to its individual needs.
</term> and the main <term> dictionary </term> fits	into	the standard <term> 360K floppy </term> , whereas	#16831 The speed of the resulting program lies somewhere in the middle of the scale of existing spelling-checkers for English and the main dictionary fits into the standard 360K floppy, whereas the number of recognized word forms exceeds 6 million (for Czech).
</term> . The <term> board </term> plugs directly	into	the <term> VME bus </term> of the <term> SUN4	#16952 The board plugs directly into the VME bus of the SUN4, which controls the system and contains the natural language system and application back end.
</term> and the real tasks are also taken	into	consideration by enlarging the <term> separation	#17901 To make the proposed algorithm robust, the possible variations between the training corpus and the real tasks are also taken into consideration by enlarging the separation margin between the correct candidate and its competing members.
</term> can be incrementally incorporated	into	the <term> dictionary </term> after the interaction	#18249 Detected unknown words can be incrementally incorporated into the dictionary after the interaction with the user.
information </term> from the <term> parse tree </term>	into	the <term> disambiguation process </term> in	#18934 HBG incorporates lexical, syntactic, semantic, and structural information from the parse treeinto the disambiguation process in a novel way.
practically implemented and incorporated	into	the <term> English-Japanese MT system </term>	#19865 This model was practically implemented and incorporated into the English-Japanese MT system, and provided about 75% accuracy in the practical translation use.


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