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1
Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge ...
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2
Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation ...
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3
Use of Modality and Negation in Semantically-Informed Syntactic MT ...
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4
A Modality Lexicon and its use in Automatic Tagging ...
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5
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ...
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6
Computing Lexical Contrast ...
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7
Measuring Degrees of Semantic Opposition ...
Mohammad, Saif M.; Dorr, Bonnie J.; Hirst, Graeme. - : National Research Council Canada, 2011
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8
Measuring Variability in Sentence Ordering for News Summarization
Klavans, Judith L.; Madnani, Nitin; Passonneau, Rebecca. - : Proceeding ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation, 2007
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9
Multiple Alternative Sentene Compressions as a Tool for Automatic Summarization Tasks
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10
Text Summarization Evaluation: Correlating Human Performance on an Extrinsic Task with Automatic Intrinsic Metrics
In: DTIC (2006)
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11
Deriving verbal and compositional lexical aspect for NLP applications
In: The language of time (Oxford, 2005), p. 115-128
MPI für Psycholinguistik
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12
Use of Minimal Lexical Conceptual Structures for Single-Document Summarization
In: DTIC (2004)
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13
Symbolic MT With Statistical NLP Components
In: DTIC (2004)
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14
Use of OCR for Rapid Construction of Bilingual Lexicons
In: DTIC (2003)
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15
A Similarity-Based Approach and Evaluation Methodology for Reduction of Drug Name Confusion
In: DTIC (2003)
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16
Construction of a Chinese-English Verb Lexicon for Embedded Machine Translation in Cross-Language Information Retrieval
In: DTIC (2002)
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17
Generating a Parsing Lexicon From Lexical-Conceptual Structure
In: DTIC (2002)
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18
Improved Word-Level Alignment: Injecting Knowledge about MT Divergences
In: DTIC (2002)
Abstract: Word-level alignments of bilingual text (bitexts) are not an integral part of statistical machine translation models, but also useful for lexical acquisition, treebank construction. and part-of-speech tagging. The frequent occurrence of divergences, structural differences between languages, presents a great challenge to the alignment task. We resolve some of the most prevalent divergence cases by using syntactic parse information to transform the sentence structure of one language to bear a closer resemblance to that of the other language. In this paper, we show that common divergence types can be found in multiple language pairs (in particular, we focus on English-Spanish and English-Arabic) and systematically identified. We describe our techniques for modifying English parse trees to form resulting sentences that share more similarity with the sentences in the other languages; finally, we present an empirical analysis comparing the complexities of performing word-level alignments with an without divergence handling. Our results suggest that divergence-handling can improve word-level alignment. ; Additional rept. no. UMIACS-TR-2002-15.
Keyword: *LEXICOGRAPHY; *MACHINE TRANSLATION; *STATISTICAL ANALYSIS; *WORDS(LANGUAGE); ACQUISITION; ALIGNMENT; EXPERIMENTAL DATA; LANGUAGE; Linguistics; MATHEMATICAL MODELS; Statistics and Probability; TREES
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA458774
http://www.dtic.mil/docs/citations/ADA458774
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19
Constraints on the Generation of Tense, Aspect, and Connecting Words from Temporal Expressions
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20
Building a Chinese-English Mapping Between Verb Concepts for Multilingual Applications
In: DTIC (2001)
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