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networks </term> one could just record and store	a	<term> conversation </term> for documentation	#31 Given the development of storage media and networks one could just record and store a conversation for documentation.
</term> [ 1 ] is funding the development of	a	<term> distributed message-passing infrastructure	#239 To support engaging human users in robust, mixed-initiative speech dialogue interactions which reach beyond current capabilities in dialogue systems, the DARPA Communicator program [1] is funding the development of a distributed message-passing infrastructure for dialogue systems which all Communicator participants are using.
access to <term> text collections </term> via	a	standard <term> text browser </term> . We describe	#308 In this paper we show how two standard outputs from information extraction (IE) systems - named entity annotations and scenario templates - can be used to enhance access to text collections via a standard text browser.
Lincoln Laboratory , we have been developing	a	<term> Korean-to-English machine translation	#395 At MIT Lincoln Laboratory, we have been developing a Korean-to-English machine translation system CCLINC (Common Coalition Language System at Lincoln Laboratory).
systems </term> . This , the first experiment in	a	series of experiments , looks at the <term>	#615 This, the first experiment in a series of experiments, looks at the intelligibility of MT output.
Listen-Communicate-Show ( LCS ) </term> is	a	new paradigm for <term> human interaction	#785 Listen-Communicate-Show (LCS) is a new paradigm for human interaction with data sources.
speech recognition </term> has brought to light	a	new problem : as <term> dialog systems </term>	#940 However, the improved speech recognition has brought to light a new problem: as dialog systems understand more of what the user tells them, they need to be more sophisticated at responding to the user.
word or semantic error rate </term> ) from	a	list of <term> word strings </term> , where	#1096 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.
best <term> confidence </term> . We describe	a	three-tiered approach for <term> evaluation	#1197 We describe a three-tiered approach for evaluation of spoken dialogue systems.
the U.S. military . This paper proposes	a	practical approach employing <term> n-gram	#1244 This paper proposes a practical approach employing n-gram models and error-correction rules for Thai key prediction and Thai-English language identification.
</term> . <term> Sentence planning </term> is	a	set of inter-related but distinct tasks	#1296 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 <term> retrieval performance </term> of	a	<term> translation memory system </term> .	#1483 In this paper, we compare the relative effects of segment order, segmentation and segment contiguity on the retrieval performance of a translation memory system.
) time </term> . In this paper , we study	a	<term> parsing technique </term> whose purpose	#1685 In this paper, we study a parsing technique whose purpose is to improve the practical efficiency of RCL parsers.
identification of paraphrases </term> from	a	<term> corpus of multiple English translations	#1788 We present an unsupervised learning algorithm for identification of paraphrases from a corpus of multiple English translations of the same source text.
paraphrases </term> . This paper presents	a	<term> formal analysis </term> for a large	#1818 This paper presents a formal analysis for a large class of words called alternative markers, which includes other (than), such (as), and besides.
larger improvements are possible . We provide	a	<term> logical definition </term> of <term> Minimalist	#1928 We provide a logical definition of Minimalist grammars, that are Stabler's formalization of Chomsky's minimalist program.
automatically training </term> modules of	a	<term> natural language generator </term> have	#2018 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> hand-crafted system </term> . We describe	a	set of <term> supervised machine learning	#2126 We describe a set of supervised machine learning experiments centering on the construction of statistical models of WH-questions.
target variables . This paper describes	a	method for <term> utterance classification	#2208 This paper describes a method for utterance classification that does not require manual transcription of training data.
language processing </term> , we developed	a	<term> multi-strategy and multi-source approach	#2326 Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multi-strategy and multi-source approach to question answering which is based on combining the results from different answering agents searching for answers in multiple corpora.


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