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1
Early years in machine translation : memoirs and biographies of pioneers
Yngve, Victor H. (Mitarb.); Boitet, Christian (Mitarb.); Hutchins, W. John (Hrsg.). - Amsterdam : Benjamins, 2000
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UB Frankfurt Linguistik
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2
ELSIE: The Quick Reaction Spoken Language Translation (QRSLT)
In: DTIC AND NTIS (2000)
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3
Machine-Aided Voice Translation (MAVT).
In: DTIC AND NTIS (1996)
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4
Benchmark investigation [<Journal>]
Neal, Jeannette G. [Verfasser]; Feit, Elissa L. [Verfasser]; Montgomery, Christine A. [Verfasser]
DNB Subject Category Language
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5
Benchmark investigation [<Journal>]
Neal, Jeannette G. [Verfasser]; Feit, Elissa L. [Verfasser]; Montgomery, Christine A. [Verfasser]
DNB Subject Category Language
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6
Evaluation of MT systems
Arnold, Doug (Hrsg.); Sadler, Louisa (Hrsg.); Humphreys, R. Lee (Hrsg.)...
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 8 (1993) 1-2, 1-126
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7
MUC-4 Test Results and Analysis
In: DTIC (1992)
Abstract: LSI's overall natural language processing (NLP) objective is the development of a broad coverage, reusable system which is readily transportable to additional domains, applications, and sublanguages in English, as well as providing a foundation for our multilingual work . Our system, called DBG, for Data Base Generator, is comprised of a set of NLP components which have been developed, extended, and rebuilt over a period of some years. The core of the system is an innovative Principle-based parser, using ideas from [1], which we began developing in the course of MUC-3 to replace our previous chart parser. Our approach thus relies on the concept of powerful, robust parsing as the most crucial component in an NLP system . In applying our NLP system to text extraction, our ultimate objective is to develop a high quality text extraction system, where "high quality " is defined as scoring above 80% -- a number well beyond any current MUC scores. In line with these NLP objectives, our major focus for MUC-4 was a follow-up to our main "lesson learned" in MUC-3, which was to acquire a machine-readable dictionary (MRD) and integrate its content into the DBG system. When attempts to acquire the computer-friendly Longmans or one of the Oxford Dictionaries were unsuccessful, we turned to ACL's CD-ROM containing the Collins English Dictionary . The most correct version of the CED on the ACL CD-ROM was apparently developed directly from a medium prepared for the typographer , and unfortunately lacks any documentation of features, fonts, language, etc . The effort of acquiring an d integrating the CED was clearly a worthwhile endeavor, since we were able to increase the number of entries i n our lexicon three-fold in a relatively short time (see Table 1) . The increase in lexicon size will benefit all the applications LSI is currently working on.
Keyword: *ENGLISH LANGUAGE; *INFORMATION PROCESSING; *MACHINE CODING; *NATURAL LANGUAGE; CHARTS; CORES; DATA BASES; DATA PROCESSING; DICTIONARIES; Information Science; LESSONS LEARNED; Linguistics; MRD(MACHINE READABLE DICTIONARY); NLP(NATURAL LANGUAGE PROCESSING); PARSERS; REUSABLE EQUIPMENT; SHORT RANGE(TIME); SIZES(DIMENSIONS); VOCABULARY
URL: http://www.dtic.mil/docs/citations/ADA458883
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA458883
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8
An Evaluation Methodology for Natural Language Processing Systems
In: DTIC AND NTIS (1992)
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9
MUC-3 Test Results and Analysis
In: DTIC (1991)
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10
Distinguishing Fact from Opinion and Events from Meta-Events
In: DTIC AND NTIS (1983)
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11
Imagery Intelligence (IMINT) Production Model
In: DTIC AND NTIS (1980)
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12
Human Processes in Intelligence Analysis: Phase I Overview
In: DTIC AND NTIS (1979)
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13
Cognitive Processes in Intelligence Analysis: A Descriptive Model and Review of the Literature
In: DTIC AND NTIS (1979)
BASE
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14
Knowledge representation for automated understanding of natural language discourse
In: Computers and the humanities. - Dordrecht [u.a.] : Kluwer 11 (1977) 4, 223-234
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