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tech,6-1-P01-1008,bq	interpretation and generation of natural	language	</term> , current systems use manual or semi-automatic	#1764 While paraphrasing is critical both for interpretation and generation of natural language, current systems use manual or semi-automatic methods to collect paraphrases.
other,10-1-C94-1030,bq	speech recognition </term> of a <term> natural	language	</term> , it has been difficult to detect	#20624 In optical character recognition and continuous speech recognition of a natural language, it has been difficult to detect error characters which are wrongly deleted and inserted.
other,19-3-C90-3045,bq	</term> represented in a <term> logical form	language	</term> , or to their <term> translates </term>	#16503 The formalism's intended usage is to relate expressions of natural languages to their associated semantics represented in a logical form language, or to their translates in another natural language; in summary, we intend it to allow TAGs to be used beyond their role in syntax proper.
model,3-1-H92-1026,bq	generative probabilistic model of natural	language	</term> , which we call <term> HBG </term> ,	#18901 We describe a generative probabilistic model of natural language, which we call HBG, that takes advantage of detailed linguistic information to resolve ambiguity.
other,29-3-C90-3045,bq	translates </term> in another <term> natural	language	</term> ; in summary , we intend it to allow	#16512 The formalism's intended usage is to relate expressions of natural languages to their associated semantics represented in a logical form language, or to their translates in another natural language; in summary, we intend it to allow TAGs to be used beyond their role in syntax proper.
other,17-4-H01-1041,bq	order generation </term> of the <term> target	language	</term> . ( iii ) <term> Rapid system development	#495 (ii) High quality translation via word sense disambiguation and accurate word order generation of the target language.
other,9-1-P80-1004,bq	process in <term> human understanding of natural	language	</term> . This paper discusses a <term> method	#12453 Interpreting metaphors is an integral and inescapable process in human understanding of natural language.
other,34-1-C90-3045,bq	or <term> automatic translation of natural	language	</term> . We present a variant of <term> TAGs	#16463 The unique properties of tree-adjoining grammars (TAG) present a challenge for the application of TAGs beyond the limited confines of syntax, for instance, to the task of semantic interpretation or automatic translation of natural language.
tech,9-1-C88-2162,bq	far have not fared well in <term> modeling	language	acquisition </term> . For one thing , <term>	#15747 Computer programs so far have not fared well in modeling language acquisition.
tech,21-4-C88-2162,bq	</term> [ Zernik88 ] , to facilitate <term>	language	acquisition </term> . From this , a <term>	#15807 We introduced a new linguistic representation, the Dynamic Hierarchical Phrasal Lexicon (DHPL) [Zernik88], to facilitatelanguage acquisition.
other,21-3-N06-4001,bq	context to uncover relationships between <term>	language	</term> and <term> behavioral patterns </term>	#10915 As evidence of its usefulness and usability, it has been used successfully in a research context to uncover relationships betweenlanguage and behavioral patterns in two distinct domains: tutorial dialogue (Kumar et al., submitted) and on-line communities (Arguello et al., 2006).
other,44-3-H92-1003,bq	multi-site common evaluation of speech , natural	language	and spoken language The paper provides	#18613 We summarize the motivation for this effort, the goals, the implementation of a multi-site data collection paradigm, and the accomplishments of MADCOW in monitoring the collection and distribution of 12,000 utterances of spontaneous speech from five sites for use in a multi-site common evaluation of speech, natural language and spoken language
other,8-1-C04-1103,bq	role in many <term> multilingual speech and	language	applications </term> . In this paper , a	#5740 Machine transliteration/back-transliteration plays an important role in many multilingual speech and language applications.
tech,12-4-P01-1009,bq	operational semantics </term> of <term> natural	language	applications </term> improve , even larger	#1916 The value of this approach is that as the operational semantics of natural language applications improve, even larger improvements are possible.
	identified using a <term> phrase </term> in another	language	as a pivot . We define a <term> paraphrase	#9711 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.
tech,9-3-J82-3002,bq	in <term> Prolog </term> , a <term> programming	language	</term> based on <term> logic </term> . With	#12881 The system is implemented entirely in Prolog, a programming language based on logic.
other,15-3-P05-1074,bq	how <term> paraphrases </term> in one <term>	language	</term> can be identified using a <term> phrase	#9702 Using alignment techniques from phrase-based statistical machine translation, we show how paraphrases in onelanguage can be identified using a phrase in another language as a pivot.
lr,6-1-H92-1003,bq	describes a recently collected <term> spoken	language	corpus </term> for the <term> ATIS ( Air Travel	#18531 This paper describes a recently collected spoken language corpus for the ATIS (Air Travel Information System) domain.
other,13-1-P03-1005,bq	Kernel </term> for <term> structured natural	language	data </term> . The <term> HDAG Kernel </term>	#3804 This paper proposes the Hierarchical Directed Acyclic Graph (HDAG) Kernel for structured natural language data.
other,8-5-P84-1047,bq	advantages from the point of view of <term>	language	definition </term> are also noted . Representative	#13398 Several advantages from the point of view oflanguage definition are also noted.


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