Concordance

Query one 30 (1,398.7 per million)

	of <term> storage media and networks </term>	one	could just record and store a <term> conversation	#25 Given the development of storage media and networksone could just record and store a conversation for documentation.
	and/or evaluated : Similar to activities	one	can define subsets of larger <term> database	#141 Several extensions of this basic idea are being discussed and/or evaluated: Similar to activities one can define subsets of larger database and detect those automatically which is shown on a large database of TV shows.
	set of inter-related but distinct tasks ,	one	of which is <term> sentence scoping </term>	#1304 Sentence planning is a set of inter-related but distinct tasks, one of which is sentence scoping, i.e. the choice of syntactic structure for elementary speech acts and the decision of how to combine them into one or more sentences.
	the decision of how to combine them into	one	or more <term> sentences </term> . In this	#1330 Sentence planning is a set of inter-related but distinct tasks, one of which is sentence scoping, i.e. the choice of syntactic structure for elementary speech acts and the decision of how to combine them into one or more sentences.
	adopt fundamentally different strategies ,	one	utilizing primarily <term> knowledge-based	#2360 The answering agents adopt fundamentally different strategies, one utilizing primarily knowledge-based mechanisms and the other adopting statistical techniques.
	</term> with <term> in-degree </term> greater than	one	and <term> out-degree </term> greater than	#3185 For our purposes, a hub is a node in a graph with in-degree greater than one and out-degree greater than one.
	one and <term> out-degree </term> greater than	one	. We create a <term> word-trie </term> , transform	#3190 For our purposes, a hub is a node in a graph with in-degree greater than one and out-degree greater than one.
	inflected languages </term> provided that	one	can create a small <term> manually segmented	#4785 We believe this is a state-of-the-art performance and the algorithm can be used for many highly inflected languages provided that one can create a small manually segmented corpus of the language of interest.
	contains . We give two estimates , a lower	one	and a higher one . As an <term> analogy </term>	#5937 We give two estimates, a lower one and a higher one.
	two estimates , a lower one and a higher	one	. As an <term> analogy </term> must be valid	#5941 We give two estimates, a lower one and a higher one.
	</term> of an <term> ambiguous word </term> in	one	<term> classifier </term> , therefore augmenting	#6042 The advantage of this novel method is that it clusters all inflected forms of an ambiguous word in one classifier, therefore augmenting the training material available to the algorithm.
	. Our approach is based on the idea that	one	person tends to use one <term> expression	#6147 Our approach is based on the idea that one person tends to use one expression for one meaning.
	on the idea that one person tends to use	one	<term> expression </term> for one <term> meaning	#6152 Our approach is based on the idea that one person tends to use one expression for one meaning.
	tends to use one <term> expression </term> for	one	<term> meaning </term> . According to our assumption	#6155 Our approach is based on the idea that one person tends to use one expression for one meaning.
	utterances </term> are made in relation to	one	made previously , <term> sentence extraction	#6236 While sentence extraction as an approach to summarization has been shown to work in documents of certain genres, because of the conversational nature of email communication where utterances are made in relation to one made previously, sentence extraction may not capture the necessary segments of dialogue that would make a summary coherent.
	classifiers </term> to form a highly accurate	one	. Experiments show that this approach is	#7054 Boosting, the method in question, combines the moderately accurate hypotheses of several classifiers to form a highly accurate one.
	machine translation ( SMT ) </term> is currently	one	of the hot spots in <term> natural language	#7995 Statistical machine translation (SMT) is currently one of the hot spots in natural language processing.
	</term> , we show how <term> paraphrases </term> in	one	<term> language </term> can be identified using	#9701 Using alignment techniques from phrase-based statistical machine translation, we show how paraphrases in one language can be identified using a phrase in another language as a pivot.
other,6-2-E06-1018,bq	represents an instantiation of the <term>	one	sense per collocation observation </term>	#10112 It represents an instantiation of theone sense per collocation observation (Gale et al., 1992).
other,16-4-E06-1018,bq	that it enhances the effect of the <term>	one	sense per collocation observation </term>	#10152 This approach differs from other approaches to WSI in that it enhances the effect of theone sense per collocation observation by using triplets of words instead of pairs.


	in Help