Concordance

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other,23-1-P01-1009,bq	includes <term> other ( than ) </term> , <term>	such	( as ) </term> , and <term> besides </term> .	#1838 This paper presents a formal analysis for a large class of words called alternative markers, which includes other (than),such (as), and besides.
	Processing ( NLP ) </term> applications ,	such	as <term> Word Sense Disambiguation ( WSD	#6946 Topic signatures can be useful in a number of Natural Language Processing (NLP) applications, such as Word Sense Disambiguation (WSD) and Text Summarisation.
	) <term> numeric-valued attributes </term> ,	such	as size or location ; ( b ) <term> perspective-taking	#10666 This paper discusses two problems that arise in the Generation of Referring Expressions: (a) numeric-valued attributes, such as size or location; (b) perspective-taking in reference.
	speech </term> . Other contextual clues ,	such	as <term> editing terms </term> , <term> word	#21338 Other contextual clues, such as editing terms, word fragments, and word matchings, are also factored in by modifying the transition probabilities.
	non-literal aspects of communication </term> ,	such	as robust <term> communication procedures	#12577 While such decoding is an essential underpinning, much recent work suggests that natural language interfaces will never appear cooperative or graceful unless they also incorporate numerous non-literal aspects of communication, such as robust communication procedures.
	and ( 3 ) <term> conversational cues </term> ,	such	as <term> cue phrases </term> and <term> overlapping	#10591 Examination of the effect of features shows that predicting top-level and predicting subtopic boundaries are two distinct tasks: (1) for predicting subtopic boundaries, the lexical cohesion-based approach alone can achieve competitive results, (2) for predicting top-level boundaries, the machine learning approach that combines lexical-cohesion and conversational features performs best, and (3) conversational cues, such as cue phrases and overlapping speech, are better indicators for the top-level prediction task.
	simulate many <term> grammar formalisms </term> ,	such	as <term> rewriting systems </term> , <term>	#11104 This formalism is both elementary and powerful enough to strongly simulate many grammar formalisms, such as rewriting systems, dependency grammars, TAG, HPSG and LFG.
	</term> between <term> objects </term> . However ,	such	an approach does not work well when there	#5633 However, such an approach does not work well when there is no distinctive attribute among objects.
	</term> , posing special problems for readers ,	such	as <term> misspelled words </term> , <term> missing	#13009 However, a great deal of natural language texts e.g., memos, rough drafts, conversation transcripts etc., have features that differ significantly from neat texts, posing special problems for readers, such as misspelled words, missing words, poor syntactic construction, missing periods, etc.
	from <term> unstructured data sources </term> ,	such	as the <term> Web </term> or <term> newswire	#6766 Information extraction techniques automatically create structured databases from unstructured data sources, such as the Web or newswire documents.
	Machine Translation ( MT ) systems </term> ,	such	as <term> BLEU </term> or <term> NIST </term> ,	#7689 Automatic evaluation metrics for Machine Translation (MT) systems, such as BLEU or NIST, are now well established.
	alternative <term> index </term> could be the activity	such	as discussing , planning , informing ,	#95 An alternative index could be the activity such as discussing, planning, informing, story-telling, etc.
	edges </term> adjacent to it , rather than all	such	<term> edges </term> as in conventional treatments	#17626 As each new edge is added to the chart, the algorithm checks only the topmost of the edges adjacent to it, rather than all such edges as in conventional treatments.
	is more describable than other approaches	such	as those employing a traditional <term> generative	#16415 We show that the proposed approach is more describable than other approaches such as those employing a traditional generative phonological approach.
	</term> . We propose a method of attaining	such	a design through a method of <term> structure-sharing	#17984 We propose a method of attaining such a design through a method of structure-sharing which avoids log(d) overheads often associated with structure-sharing of graphs without any use of costly dependency pointers.
	including <term> coordinate conjunctions </term>	such	as <term> and </term> , <term> or </term> , <term>	#19687 The authors propose a model for analyzing English sentences including coordinate conjunctionssuch as and, or, but and the equivalent words.
	model </term> is also presented that deals	such	<term> phrases </term> , as well as a <term>	#7379 A statistical translation model is also presented that deals such phrases, as well as a training method based on the maximization of translation accuracy, as measured with the NIST evaluation metric.
	using them , we can automatically extract	such	<term> sentences </term> that express opinion	#11449 By using them, we can automatically extract such sentences that express opinion.
	Finding the preferred <term> language </term> for	such	a <term> need </term> is a valuable task .	#10754 Finding the preferred language for such a need is a valuable task.
	building <term> spelling-checkers </term> for	such	languages . The speed of the resulting	#16804 We have developed a special method for describing inflection for the purpose of building spelling-checkers for such languages.


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