Concordance

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	At MIT Lincoln Laboratory , we have been developing a <term> Korean-to-English machine translation system </term><term> CCLINC ( Common Coalition Language System at Lincoln Laboratory ) </term> .	#393 At MIT Lincoln Laboratory, we have been developing a Korean-to-English machine translation system CCLINC (Common Coalition Language System at Lincoln Laboratory).
	Having been trained on <term> Korean newspaper articles </term> on missiles and chemical biological warfare , the <term> system </term> produces the <term> translation output </term> sufficient for content understanding of the <term> original document </term> .	#516 Having been trained on Korean newspaper articles on missiles and chemical biological warfare, the system produces the translation output sufficient for content understanding of the original document.
	The issue of <term> system response </term> to <term> users </term> has been extensively studied by the <term> natural language generation community </term> , though rarely in the context of <term> dialog systems </term> .	#976 The issue of system response to users has been extensively studied by the natural language generation community, though rarely in the context of dialog systems.
	The <term> oracle </term> knows the <term> reference word string </term> and selects the <term> word string </term> with the best <term> performance </term> ( typically , <term> word or semantic error rate </term> ) from a list of <term> word strings </term> , where each <term> word string </term> has been obtained by using a different <term> LM </term> .	#1107 The oracle knows the reference word string and selects the word string with the best performance (typically, word or semantic error rate) from a list of word strings, where each word string has been obtained by using a different LM.
	<term> Techniques for automatically training </term> modules of a <term> natural language generator </term> have recently been proposed , but a fundamental concern is whether the <term> quality </term> of <term> utterances </term> produced with <term> trainable components </term> can compete with <term> hand-crafted template-based or rule-based approaches </term> .	#2024 Techniques for automatically training modules of a natural language generator have recently been proposed, but a fundamental concern is whether the quality of utterances produced with trainable components can compete with hand-crafted template-based or rule-based approaches.
	<term> Link detection </term> has been regarded as a core technology for the <term> Topic Detection and Tracking tasks </term> of <term> new event detection </term> .	#4045 Link detection has been regarded as a core technology for the Topic Detection and Tracking tasks of new event detection.
	<term> Dialogue strategies </term> based on the <term> user modeling </term> are implemented in <term> Kyoto city bus information system </term> that has been developed at our laboratory .	#4397 Dialogue strategies based on the user modeling are implemented in Kyoto city bus information system that has been developed at our laboratory.
	Along the way , we present the first comprehensive comparison of <term> unsupervised methods for part-of-speech tagging </term> , noting that published results to date have not been comparable across <term> corpora </term> or <term> lexicons </term> .	#5551 Along the way, we present the first comprehensive comparison of unsupervised methods for part-of-speech tagging, noting that published results to date have not been comparable across corpora or lexicons.
	While <term> sentence extraction </term> as an approach to <term> summarization </term> has been shown to work in <term> documents </term> of certain <term> genres </term> , because of the conversational nature of <term> email communication </term> where <term> utterances </term> are made in relation to one made previously , <term> sentence extraction </term> may not capture the necessary <term> segments </term> of <term> dialogue </term> that would make a <term> summary </term> coherent .	#6211 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.
	This paper investigates some <term> computational problems </term> associated with <term> probabilistic translation models </term> that have recently been adopted in the literature on <term> machine translation </term> .	#7448 This paper investigates some computational problems associated with probabilistic translation models that have recently been adopted in the literature on machine translation.
	Much effort has been put in designing and evaluating dedicated <term> word sense disambiguation ( WSD ) models </term> , in particular with the <term> Senseval </term> series of workshops .	#7832 Much effort has been put in designing and evaluating dedicated word sense disambiguation (WSD) models, in particular with the Senseval series of workshops.
	Surprisingly however , the <term> WSD </term><term> accuracy </term> of <term> SMT models </term> has never been evaluated and compared with that of the dedicated <term> WSD models </term> .	#7905 Surprisingly however, the WSD accuracy of SMT models has never been evaluated and compared with that of the dedicated WSD models.
	Over the last few years dramatic improvements have been made , and a number of comparative evaluations have shown , that <term> SMT </term> gives competitive results to <term> rule-based translation systems </term> , requiring significantly less development time .	#8013 Over the last few years dramatic improvements have been made, and a number of comparative evaluations have shown, that SMT gives competitive results to rule-based translation systems, requiring significantly less development time.
	<term> STTK </term> has been developed by the presenter and co-workers over a number of years and is currently used as the basis of <term> CMU 's SMT system </term> .	#8143 STTK has been developed by the presenter and co-workers over a number of years and is currently used as the basis of CMU's SMT system.
	It has also successfully been coupled with <term> rule-based and example based machine translation modules </term> to build a <term> multi engine machine translation system </term> .	#8172 It has also successfully been coupled with rule-based and example based machine translation modules to build a multi engine machine translation system.
	In this paper we study a set of problems that are of considerable importance to <term> Statistical Machine Translation ( SMT ) </term> but which have not been addressed satisfactorily by the <term> SMT research community </term> .	#9947 In this paper we study a set of problems that are of considerable importance to Statistical Machine Translation (SMT) but which have not been addressed satisfactorily by the SMT research community.
	Over the last decade , a variety of <term> SMT algorithms </term> have been built and empirically tested whereas little is known about the <term> computational complexity </term> of some of the fundamental problems of <term> SMT </term> .	#9967 Over the last decade, a variety of SMT algorithms have been built and empirically tested whereas little is known about the computational complexity of some of the fundamental problems of SMT.
	The correlation of the new <term> measure </term> with <term> human judgment </term> has been investigated systematically on two different <term> language pairs </term> .	#10415 The correlation of the new measure with human judgment has been investigated systematically on two different language pairs.
	We first apply approaches that have been proposed for <term> predicting top-level topic shifts </term> to the problem of <term> identifying subtopic boundaries </term> .	#10494 We first apply approaches that have been proposed for predicting top-level topic shifts to the problem of identifying subtopic boundaries.
	As evidence of its usefulness and usability , it has been used successfully in a research context to uncover relationships between <term> language </term> and <term> behavioral patterns </term> in two distinct domains : <term> tutorial dialogue </term> ( Kumar et al. , submitted ) and <term> on-line communities </term> ( Arguello et al. , 2006 ) .	#10904 As evidence of its usefulness and usability, it has been used successfully in a research context to uncover relationships between language and behavioral patterns in two distinct domains: tutorial dialogue (Kumar et al., submitted) and on-line communities (Arguello et al., 2006).


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