Concordance

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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,16-6-E06-1031,bq	investigated systematically on two different <term>	language	pairs </term> . The experimental results	#10421 The correlation of the new measure with human judgment has been investigated systematically on two differentlanguage pairs.
tech,11-5-H01-1058,bq	clearly show the need for a <term> dynamic	language	model combination </term> to improve the <term>	#1143 We provide experimental results that clearly show the need for a dynamic language model combination to improve the performance further.
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.
model,27-3-N03-2006,bq	</term> and the possibility of using the <term>	language	model </term> . We describe a simple <term>	#3150 The two evaluation measures of the BLEU score and the NIST score demonstrated the effect of using an out-of-domain bilingual corpus and the possibility of using thelanguage model.
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.
other,11-4-C04-1103,bq	<term> English/Chinese and English/Japanese	language	pairs </term> . Our study reveals that the	#5816 We evaluate the proposed methods through several transliteration/back transliteration experiments for English/Chinese and English/Japanese language pairs.
tech,11-1-N03-3010,bq	Cooperative Model </term> for <term> natural	language	understanding </term> in a <term> dialogue	#3489 In this paper, we propose a novel Cooperative Model for natural language understanding in a dialogue system.
other,12-1-A94-1017,bq	( APs ) </term> for <term> real-time spoken	language	translation </term> . <term> Spoken language	#20207 This paper proposes a model using associative processors (APs) for real-time spoken language translation.
tech,4-1-P84-1020,bq	. This abstract describes a <term> natural	language	system </term> which deals usefully with <term>	#13138 This abstract describes a natural language system which deals usefully with ungrammatical input and describes some actual and potential applications of it in computer aided second language learning.
other,10-2-I05-2014,bq	scarcely used for the assessment of <term>	language	pairs </term> like <term> English-Chinese </term>	#7710 Yet, they are scarcely used for the assessment oflanguage pairs like English-Chinese or English-Japanese, because of the word segmentation problem.
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,18-3-H01-1041,bq	of <term> Korean </term> ( a <term> verb final	language	</term> with <term> overt case markers </term>	#459 The key features of the system include: (i) Robust efficient parsing of Korean (a verb final language with overt case markers, relatively free word order, and frequent omissions of arguments).
other,7-4-C88-2086,bq	the <term> inferential theory for natural	language	presuppositions </term> described in / Mercer	#15410 By reappraising these insightful counterexamples, the inferential theory for natural language presuppositions described in /Mercer 1987, 1988/ gives a simple and straightforward explanation for the presuppositional nature of these sentences.
tech,6-5-P80-1004,bq	towards automating certain aspects of <term>	language	learning </term> are also discussed . Current	#12521 Implications towards automating certain aspects oflanguage learning are also discussed.
tech,20-4-P80-1019,bq	methods of more traditional <term> natural	language	interfaces </term> . When people use <term>	#12663 The paper proposes interfaces based on a judicious mixture of these techniques and the still valuable methods of more traditional natural language interfaces.
tech,7-1-P01-1056,bq	training </term> modules of a <term> natural	language	generator </term> have recently been proposed	#2020 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.
model,4-3-P03-1051,bq	<term> algorithm </term> uses a <term> trigram	language	model </term> to determine the most probable	#4675 The algorithm uses a trigram language model to determine the most probable morpheme sequence for a given input.
other,34-3-I05-2021,bq	</term> of the <term> words </term> in <term> source	language	sentences </term> . Surprisingly however	#7891 At the same time, the recent improvements in the BLEU scores of statistical machine translation (SMT) suggests that SMT models are good at predicting the right translation of the words in source language sentences.


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