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Montgomery, Christine A. (5)
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Hits 1 – 5 of 5
1
ELSIE: The Quick Reaction Spoken Language Translation (QRSLT)
Montgomery, Christine A.
;
Crawford, David J.
In: DTIC AND NTIS (2000)
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2
Machine-Aided Voice Translation (MAVT).
Montgomery, Christine A.
;
Stalls, Bonnie G.
;
Stumberger, Robert
...
In: DTIC AND NTIS (1996)
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3
MUC-4 Test Results and Analysis
Montgomery, Christine A.
;
Stalls, Bonnie G.
;
Stumberger, Robert E.
;
Li, Naicong
;
Belvin, Robert S.
;
Arnaiz, Alfredo
;
Hirsh, Susan B.
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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4
An Evaluation Methodology for Natural Language Processing Systems
Neal, Jeannette G.
;
Feit, Elissa L.
;
Funke, Douglas J.
...
In: DTIC AND NTIS (1992)
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5
MUC-3 Test Results and Analysis
Montgomery, Christine A.
;
Stalls, Bonnie G.
;
Belvin, Robert S.
...
In: DTIC (1991)
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