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1	Strengthening Homeland Security through Improved Foreign Language Capability
	Stevens, Sean C
	In: DTIC (2011)
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2	Techniques for Automatically Generating Biographical Summaries from News Articles
	Esparza, Matthew W.
	In: DTIC (2007)
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3	An Analysis of Specware and Its Usefulness in the Verification of High Assurance Systems
	DeCloss, Daniel P.
	In: DTIC (2006)
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4	The Effect of Prior Definitional Instruction of Targeted Vocabulary in German Texts on Vocabulary Knowledge and Reading Comprehension
	Foerg, Reinhard P.
	In: DTIC AND NTIS (1998)
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5	Analysis of Defense Language Institute Automated Student Questionnaire Data.
	Strycharz, Theodore M.
	In: DTIC AND NTIS (1996)
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6	Adaptive Statistical Language Modeling; A Maximum Entropy Approach
	Rosenfeld, Ronald
	In: DTIC AND NTIS (1994)
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7	AMAR: A Computational Model of Autosegmental Phonology
	Albro, Daniel M.
	In: DTIC AND NTIS (1993)
	Abstract: This report describes a computational system with which phonologists may describe a natural language in terms of autosegmental phonology, currently the most advanced theory pertaining to the sound systems of human languages. This system allows linguists to easily test autosegmental hypotheses against a large corpus of data. The system was designed primarily with tonal systems in mind, but also provides support for tree or feature matrix representation of phonemes (as in the sound pattern of english), as well as syllable structures and other aspects of phonological theory. Under specification is allowed, and threes may be specified before, during, and after rule application. The association convention is automatically applied, and other principles such as the conjunctivity condition are supported. The method of representation was designed such that rules are designated in as close a fashion as possible to the existing conventions of autosegmental theory while adhering to a textual constraint for maximum portability.
	Keyword: COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE; PHONEMES; PHONOLOGY; AMAR(AUTOMATED MODEL OF AUTOSEGMENTAL RULES); Computer Programming and Software; COMPUTERIZED SIMULATION; HUMANS; HYPOTHESES; LANGUAGE; Linguistics; PATTERNS; SOUND; STRUCTURES; SYLLABLES; TEST AND EVALUATION; THEORY; THESES; TREES; WORD ASSOCIATION
	URL: http://www.dtic.mil/docs/citations/ADA276795 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA276795
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8	Research in Natural Language Processing
	Grishman, Ralph
	In: DTIC AND NTIS (1990)
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9	Rule-Based Frequency Domain Speech Coding
	McMillan, Vance M.
	In: DTIC AND NTIS (1990)
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10	Re-Estimation of Student Ability in Foreign Languages Using the Rasch Model
	Westfall, Philip J.
	In: DTIC AND NTIS (1988)
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