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Hits 101 – 120 of 123

101
Interlingual Annotation of Multilingual Text Corpora
Farwell, David; Helmreich, Stephen; Reeder, Florence. - : Workshop on Frontiers in Corpus Annotation, NAACL/HLT 2004, 2004
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102
Interlingual Annotation of Multilingual Text Corpora ...
Farwell, David; Helmreich, Stephen; Reeder, Florence. - : Columbia University, 2004
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103
Use of Minimal Lexical Conceptual Structures for Single-Document Summarization
In: DTIC (2004)
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104
Symbolic MT With Statistical NLP Components
In: DTIC (2004)
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105
Hybrid natural language generation from laexical conceptual structures
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 18 (2003) 2, 81-127
BLLDB
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106
Hybrid Natural Language Generation from Lexical Conceptual Structures
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 18 (2003) 2, 81-128
OLC Linguistik
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107
A Categorial Variation Database for English
In: DTIC (2003)
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108
A Categorial Variation Database for English
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109
Handling Translation Divergences in Generation-Heavy Hybrid Machine Translation
In: DTIC (2002)
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110
Improved Word-Level Alignment: Injecting Knowledge about MT Divergences
In: DTIC (2002)
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111
Handling Translation Divergences: Combining Statistical and Symbolic Techniques in Generation-Heavy Machine Translation
In: DTIC (2002)
Abstract: This paper describes a novel approach to handling translation divergences in a Generation-Heavy Hybrid Machine Translation (GHMT) system. The translation divergence problem is usually reserved for Transfer and Interlingual MT because it requires a large combination of complex lexical and structural mappings. A major requirement of these approaches is the accessibility of large amounts of explicit symmetrical knowledge for both source and target languages. This limitation renders Transfer and Interlingual approaches ineffective in the face of structurally-divergent language pairs with asymmetrical resources. GHMT addresses the more common form of this problem, source-poor/target-rich, by fully exploiting symbolic and statistical target-language resources. This is accomplished by using target-language lexical semantics, categorial variations and subcategorization frames to overgenerate multiple lexico-structural variations from a target-glossed syntactic dependency of the source-language sentence. The symbolic over-generation, which accounts for different possible translation divergences, is constrained by a statistical target-language model. ; Sponsored in part under NSF grant EIA0130422. Report No. UMIACS-TR-2002-49.
Keyword: *LEXICOGRAPHY; *MACHINE TRANSLATION; *MATHEMATICAL MODELS; *SEMANTICS; ASYMMETRY; CLASSIFICATION; Computer Programming and Software; FRAMES; GHMT(GENERATION HEAVY HYBRID MACHINE TRANSLATION); HANDLING; INTERLINGUAL MODELS; Linguistics; MAPPING; PROGRAMMING LANGUAGES; STATISTICAL PROCESSES; STATISTICAL TARGET LANGUAGE MODELS; SUBCATEGORIZATION; SYMBOLIC PROGRAMMING; SYMBOLIC TECHNIQUES; SYNTAX; TRANSFER MODELS; TRANSLATION DIVERGENCIES; WORDS(LANGUAGE)
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA458925
http://www.dtic.mil/docs/citations/ADA458925
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112
Handling Translation Divergences: Combining Statistical and Symbolic Techniques in Generation-Heavy Machine Translation
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113
Handling Translation Divergences in Generation-Heavy Hybrid Machine Translation
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114
Efficient Language Independent Generation from Lexical Conceptual Structure
In: DTIC (2001)
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115
Generation from Lexical Conceptual Structures
In: DTIC (2001)
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116
Large Scale Language Independent Generation Using Thematic Hierarchies
In: DTIC (2001)
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117
Nuun: A System for Developing Platform and Browser Independent Arabic Web Applications
In: DTIC (2001)
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118
Efficient Language Independent Generation from Lexical Conceptual Structures
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119
Generation from Lexical Conceptual Structures
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120
Large Scale Language Independent Generation Using Thematic Hierarchies
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