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Hits 1.281 – 1.300 of 1.629

1281
TMSS Parsing Test MIL-M-9977J, Appendix D, Nonnuclear Munitions Loading Procedures.
In: DTIC AND NTIS (1994)
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1282
TMSS Parsing Test, MIL-M-83495A, Wiring Diagram, Appendix F, Document Type Definition.
In: DTIC AND NTIS (1994)
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1283
Adaptive Statistical Language Modeling; A Maximum Entropy Approach
In: DTIC AND NTIS (1994)
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1284
The predictive validity of the IELTS and TOEFL: a comparison
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1285
Nonlinguistic Cognitive Performance and Expressive and Receptive Language Scores in Children with Expressive Language Delay
In: Dissertations and Theses (1994)
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1286
Assessing children's language in naturalistic contexts
Lund, Nancy J.; Duchan, Judith F.. - Englewood Cliffs, N.J. : Prentice-Hall, 1993
UB Frankfurt Linguistik
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1287
Deletion patterns and C-test difficulty in German
In: Moderne Sprachen. - Wien : Ed. Praesens 37 (1993) 3, 160-171
BLLDB
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1288
Linguistic principles underlying two aphasia tests
In: Foundations of aphasia rehabilitation. - Oxford [u.a.] : Pergamon Press (1993), 195-210
BLLDB
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1289
Using Case-Based Reasoning in Natural Language Processing
In: DTIC AND NTIS (1993)
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1290
Comparative Experiments on Large Vocabulary Speech Recognition
In: DTIC (1993)
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1291
Domain and Language Evaluation Results
In: DTIC (1993)
Abstract: The Fifth Message Understanding Conference (MUC-5) focused on the task of data extraction for two distinctly different applications, one within the domain of joint ventures (JV) and the other within the domain of microelectronics (ME) . For each application, the task could be performed in either English and/or Japanese, giving four combinations : English Joint Ventures, Japanese Joint Ventures, English Microelectronics, and Japanese Microelectronics . Interpreting the evaluation results across domains and within a single domain between languages is affected d by a number of factors. Differences in task focus, complexity, and domain technicality make it impossible to apply inferential statistics between domains . In addition, even though the task and the template design were the same across languages within a single domain, differences in the types of text sources for each language and accompanying variations in template fills and fill rules by language also make it impossible to apply inferential statistics between the language pairs . Moreover, there is considerable variation in the participants' level of effort and funding, and not all of the participants worked in multiple languages and/or multiple domains . In light of these factors, I will present descriptive statistics comparing error per response fill to address the following questions : (1) For both languages, what is the performance difference between domains? (2) Between domains, what are performance differences for the single shared object and for unattempted slots? (3) For both domains, what is the performance difference between languages? (4) For a single domain, what are representative differences at object and slot levels between English and Japanese? The discussion of domain and language difference s will center upon general factors that influence performance in information extraction.
Keyword: *DATA PROCESSING; *ENGLISH LANGUAGE; *INFORMATION RETRIEVAL; *MICROELECTRONICS; *STATISTICS; Electrical and Electronic Equipment; EXTRACTION; FILLERS; Information Science; JAPAN; LANGUAGE; Linguistics; SHARING; SLOTS; Statistics and Probability; TEMPLATES; TEST AND EVALUATION
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA460578
http://www.dtic.mil/docs/citations/ADA460578
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1292
AMAR: A Computational Model of Autosegmental Phonology
In: DTIC AND NTIS (1993)
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1293
Proceedings of the Association for Computing Machinery Special Interest Group for Ada Artificial Intelligence Working Group, 1992 Summer Workshop Held in Seattle, Washington on June 24-27, 1992
In: DTIC AND NTIS (1993)
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1294
Dialog Structure and Plan Recognition in Spontaneous Spoken Dialog
In: DTIC AND NTIS (1993)
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1295
Methods for Parallelizing Search Paths in Phrasing
In: DTIC AND NTIS (1993)
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1296
Modelling music with grammars: formal language representation in the Bol Processor
In: Computer Representations and Models in Music ; https://halshs.archives-ouvertes.fr/halshs-00004506 ; Computer Representations and Models in Music, Academic Press, pp.207-238, 1992 (1992)
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1297
Talking to InterFIS: Adding Speech Input to a Natural Language Interface
In: DTIC AND NTIS (1992)
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1298
A Practical Methodology for the Evaluation of Spoken Language Systems
In: DTIC (1992)
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1299
Subject-Based Evaluation Measures for Interactive Spoken Language Systems
In: DTIC (1992)
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1300
Experiments in Evaluating Interactive Spoken Language Systems
In: DTIC (1992)
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