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From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains ...
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Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge ...
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Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation ...
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Citation Handling for Improved Summarization of Scientific Documents
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Measuring Variability in Sentence Ordering for News Summarization
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Challenges in Building an Arabic-English GHMT System with SMT Components
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Construction of a Chinese-English Verb Lexicon for Embedded Machine Translation in Cross-Language Information Retrieval
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Abstract:
This paper addresses the problem of automatic acquisition of lexical knowledge for rapid construction of MT engines %DL: delete for use in multilingual applications. We describe new techniques for large-scale construction of a Chinese-English verb lexicon and we evaluate the coverage and effectiveness of the resulting lexicon for a structured MT approach that is embedded in a cross-language information retrieval system. Leveraging off an existing Chinese conceptual database called HowNet and a large, semantically rich English verb database, we use thematic-role information to create links between Chinese concepts and English classes. We apply the metrics of recall and precision to evaluate the coverage and effectiveness of the linguistic resources. The results of this work indicate that: (1) we are able to obtain reliable Chinese-English entries both with and without pre-existing semantic links between the two languages; (2) if we have pre-existing semantic links, we are able to produce a more robust lexical resource by merging these with our semantically rich English database; (3) In our comparisons with manual lexicon creation, our automatic techniques were shown to achieve 62% precision, compared to a much lower precision of 10% for arbitrary assignment of semantic links. (Also LAMP-TR-093) (Also UMIACS-TR-2002-80)
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URL: http://hdl.handle.net/1903/1226
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Domain-Specific Term-List Expansion Using Existing Linguistic Resources
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Constraints on the Generation of Tense, Aspect, and Connecting Words from Temporal Expressions
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Handling Translation Divergences: Combining Statistical and Symbolic Techniques in Generation-Heavy Machine Translation
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Handling Translation Divergences in Generation-Heavy Hybrid Machine Translation
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Efficient Language Independent Generation from Lexical Conceptual Structures
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Lexical Resource Integration across the Syntax-Semantics Interface
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Mapping Lexical Entries in a Verbs Database to WordNet Senses
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Large Scale Language Independent Generation Using Thematic Hierarchies
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