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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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POSTECH at TREC 2009 Blog Track: Top Stories Identification
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In: DTIC (2009)
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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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| 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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Subject-Based Evaluation Measures for Interactive Spoken Language Systems
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In: DTIC (1992)
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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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| 18 |
The Semantic Analyzer.
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In: DTIC AND NTIS (1991)
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Abstract:
Once a document is marked up using an SGML-defined markup language, an SGML parser can validate the document against a specified Document Type Definition (DTD). This process ensures that the document's tags conform to the structure imposed by the DTD. An SGML parser is a powerful tool for one class of markup problems, namely SGML syntactical errors. However, in the markup of CALS documents, many errors are still made, and go unchallenged, for lack of a similar tool for detecting them. Within the confines of its structural check, an SGML parser is powerless to examine the semantics of a document -- in other words, the parser cannot assess the relevance of a given piece of text inside a particular element. Besides SGML-related markup rules, each DTD entails certain application-specific syntactic requirements -- in the case of CALS, requirements that go beyond those specified in the MIL-M-28001 DTD. For instance, no SGML requirements are violated when a CALS paragraph is left empty, but this condition is still syntactically wrong for a CALS application. This syntactic problem is a symptom of an underlying semantic problem -- an empty paragraph is meaningless. The Semantic Analyzer enables more powerful document analysis, combining the power of an SGML parser with the comprehensive pattern-matching capabilities of Exoterica's XGML Translator. A specification language is provided for the Semantic Analyzer, in order to allow development of customized analysis programs for specialized SGML applications.
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Keyword:
*ANALYZERS; *DOCUMENTS; *PARSERS; *SEMANTICS; *VALIDATION; Computer Programming and Software; CTN(CALS TEST NETWORK); DTD(DOCUMENT TYPE DEFINITION); ERRORS; LABELS; LANGUAGE; Linguistics; PATTERNS; PROGRAMMING LANGUAGES; REQUIREMENTS; SGML(STANDARD GENERALIZED MARKUP LANGUAGE); SPECIFICATIONS; SYNTAX; TRANSLATORS
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA312762
http://www.dtic.mil/docs/citations/ADA312762
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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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Adaptive Natural Language Processing
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In: DTIC AND NTIS (1991)
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