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Strengthening Homeland Security through Improved Foreign Language Capability
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In: DTIC (2011)
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| 2 |
Special Operations Forces Language and Culture Needs Assessment: Defense Language Proficiency Test (DLPT)
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In: DTIC (2010)
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Relevance Feedback based on Constrained Clustering: FDU at TREC 09
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In: DTIC (2009)
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BIT at TREC 2009 Faceted Blog Distillation Task
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In: DTIC (2009)
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| 5 |
POSTECH at TREC 2009 Blog Track: Top Stories Identification
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In: DTIC (2009)
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| 6 |
PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
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In: DTIC (2009)
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| 7 |
Minimum Bayes-Risk Decoding for Statistical Machine Translation
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In: DTIC (2004)
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| 8 |
The Pragmatics of Taking a Spoken Language System Out of the Laboratory
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In: DTIC (2003)
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| 9 |
Uses of the Diagnostic Rhyme Test (English Version) for Predicting the Effects of Communicators' Linguistic Backgrounds on Voice Communications in English: An Exploratory Study
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In: DTIC (2000)
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| 10 |
The Bible, Truth, and Multilingual OCR Evaluation
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In: DTIC (1998)
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| 11 |
Experiments in Spoken Document Retrieval at CMU
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In: DTIC (1997)
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| 12 |
Domain and Language Evaluation Results
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In: DTIC (1993)
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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.
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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
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA460578
http://www.dtic.mil/docs/citations/ADA460578
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| 13 |
AMAR: A Computational Model of Autosegmental Phonology
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In: DTIC AND NTIS (1993)
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| 14 |
A Practical Methodology for the Evaluation of Spoken Language Systems
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In: DTIC (1992)
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| 15 |
Subject-Based Evaluation Measures for Interactive Spoken Language Systems
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In: DTIC (1992)
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| 16 |
VHDL and Waves Descriptions for a Pseudo-Random Pattern Generator
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In: DTIC AND NTIS (1992)
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| 17 |
Robust Processing of Real-World Natural-Language Texts
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In: DTIC AND NTIS (1991)
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| 19 |
Very High Speed Integrated Circuits (VHSIC) Hardware Description Language (VHDL) Syntax and Semantics Summary
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In: DTIC AND NTIS (1991)
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| 20 |
Adaptive Natural Language Processing
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In: DTIC AND NTIS (1991)
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