@article {13759,
	title = {Domain-Specific Term-List Expansion Using Existing Linguistic Resources},
	year = {2002},
	month = {2002/08//},
	institution = {Instititue for Advanced Computer Studies, Univ of Maryland, College Park},
	abstract = {This report describes a series of experiments involving expansion of a domain-specific human-generated "seed list" using available linguistic resources. The resources used for the expansion are intended to be general purpose: two large-scale Chinese-English dictionaries and a Chinese lexical knowledge base (HowNet). The methodology involves three steps: (1) hand extraction of head words from each entry in the human-generated seed list; (2) automatic comparison of these head words against entries in the linguistic resources-where an entry matches if the head word matches the entry exactly or is included in its the semantic definition; and (3) collection of any resulting matching entries into a larger term list. The terms extracted by this process were verified manually to confirm whether they were relevant to the topic of a specific domain. An important contribution of this work is the finding that the use of a bilingual term list for the expansion proces does not provide a significant improvement over the use of a simpler, more easily produced, monoligual term list.},
	keywords = {*LEXICOGRAPHY, *LINGUISTICS, AUTOMATIC, CHINA, COMPARISON, EXTRACTION, HANDS, knowledge based systems, linguistics, resources, WORDS(LANGUAGE)},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA525800},
	author = {Dorr, Bonnie J and Zhao,Tiejun}
}
@article {13761,
	title = {Efficient Language Independent Generation from Lexical Conceptual Structure},
	year = {2001},
	month = {2001/09//},
	institution = {Instititue for Advanced Computer Studies, Univ of Maryland, College Park},
	abstract = {This paper describes a system for generating natural-language sentences from an interlingual representation, Lexical Conceptual Structure (LCS). The system has been developed as part of a Chinese-English Machine Translation system; however, it is designed to be used for many other MT language pairs and Natural Language applications. The contributions of this work include: (1) Development of a language-independent generation system that maximizes efficiency through the use of a hybrid rule-based/statistical module; (2) Enhancements to an interlingual representation and associated algorithms for interpretation of multiply ambiguous input sentences; (3) Development of an efficient reusable language-independent linearization module with a grammar description language that can be used with other systems; (4) Improvements to an earlier algorithm for hierarchically mapping thematic roles to surface positions; (5) Development of a diagnostic tool for lexicon coverage and correctness and use of the tool for verification of English, Spanish, and Chinese lexicons. An evaluation of translation quality shows comparable performance with commercial translation system. The generation system can also be straightforwardly extended to their languages and this is demonstrated and evaluated for Spanish.},
	keywords = {*LEXICAL CONCEPTUAL STRUCTURE, *LEXICOGRAPHY, *MACHINE TRANSLATION, *VOCABULARY, *WORDS(LANGUAGE), algorithms, CHINA, COMMERCE, DIAGNOSTIC EQUIPMENT, efficiency, English language, grammars, INPUT, INTERLINGUAL, LANGUAGE, LANGUAGE-INDEPENDENT NLP., linguistics, MAPPING, natural language, QUALITY, SPANISH LANGUAGE, verification},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA458756},
	author = {Habash,Nizar and Dorr, Bonnie J and Traum,David}
}
@article {13809,
	title = {Large-Scale Construction of a Chinese-English Semantic Hierarchy},
	year = {2000},
	month = {2000/04//},
	institution = {Instititue for Advanced Computer Studies, Univ of Maryland, College Park},
	abstract = {This paper addresses the problem of building conceptual resources for multilingual applications. We describe new techniques for large-scale construction of a semantic hierarchy for Chinese verbs, using thematic-role information to create links between Chinese concepts and English classes. We then present an approach to compensating for gaps in the existing resources. The resulting hierarchy is used for a multilingual lexicon for Chinese-English machine translation and cross-language information retrieval applications.},
	keywords = {*CHINESE VERBS, *HIERARCHIES, *SEMANTICS, CHINA, CROSS CORRELATION, Information retrieval, INFORMATION SCIENCE, LANGUAGE, LEXICONS, linguistics, Machine translation, MULTILINGUAL, operations research, SYSTEMS APPROACH},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA458682},
	author = {Dorr, Bonnie J and Levow,Gina-Anne and Lin,Dekang}
}
