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1
Strengthening Homeland Security through Improved Foreign Language Capability
In: DTIC (2011)
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2
Special Operations Forces Language and Culture Needs Assessment: Defense Language Proficiency Test (DLPT)
In: DTIC (2010)
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3
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
In: DTIC (2009)
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4
BIT at TREC 2009 Faceted Blog Distillation Task
In: DTIC (2009)
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5
POSTECH at TREC 2009 Blog Track: Top Stories Identification
In: DTIC (2009)
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6
PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
In: DTIC (2009)
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7
Minimum Bayes-Risk Decoding for Statistical Machine Translation
In: DTIC (2004)
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8
The Pragmatics of Taking a Spoken Language System Out of the Laboratory
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
In: DTIC (2000)
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10
The Bible, Truth, and Multilingual OCR Evaluation
In: DTIC (1998)
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11
Experiments in Spoken Document Retrieval at CMU
In: DTIC (1997)
Abstract: We describe our submission to the TREC-6 Spoken Document Retrieval "SDR" track and the speech recognition and the information retrieval engines. We present SDR evaluation results and a brief analysis. A few developments and experiments are also described in detail including: Vocabulary size experiments, which assess the effect of words missing from the speech recognition vocabulary. For our 51,000-word vocabulary the effect was minimal. Speech recognition using a stemmed language model, where the model statistics of words containing the same root are combined. Stemmed language models did not improve speech recognition or information retrieval. Merging the IBM and CMU speech recognition data. Combining the results of two independent recognition systems slightly boosted information retrieval results. Confidence annotations that estimate of the correctness of each recognized word. Confidence annotations did not appear to improve retrieval. N-best lists where the top recognizer hypotheses are used for information retrieval. Using the top 50 hypotheses dramatically improved performance in the test set. Effects of corpus size on the SDR task. As more documents are added to the task, the gap between perfect retrieval and retrieving spoken documents gets larger. This makes it clear that the size of the current TREC SDR track corpus is too small for obtaining meaningful results. While we have done preliminary experiments with these approaches, most of them were not part of our submission, since their impact on the IR performance on the actual TREC SDR training corpus was too marginal for reliable experiments. ; Presented at the Text Retrieval Conference "TREC-6" (6th) Held in Gaithersburg, MD on 19-21 Nov 1997.
Keyword: *INFORMATION RETRIEVAL; *SPEECH RECOGNITION; DOCUMENTS; ENGINES; HYPOTHESES; LANGUAGE; Linguistics; MODELS; RECOGNITION; RELIABILITY; ROCKET ASSISTED PROJECTILES; STATISTICS; TEST SETS; VOCABULARY; WORDS(LANGUAGE)
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA470545
http://www.dtic.mil/docs/citations/ADA470545
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12
Domain and Language Evaluation Results
In: DTIC (1993)
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13
AMAR: A Computational Model of Autosegmental Phonology
In: DTIC AND NTIS (1993)
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14
A Practical Methodology for the Evaluation of Spoken Language Systems
In: DTIC (1992)
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15
Subject-Based Evaluation Measures for Interactive Spoken Language Systems
In: DTIC (1992)
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16
VHDL and Waves Descriptions for a Pseudo-Random Pattern Generator
In: DTIC AND NTIS (1992)
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17
Robust Processing of Real-World Natural-Language Texts
In: DTIC AND NTIS (1991)
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18
The Semantic Analyzer.
In: DTIC AND NTIS (1991)
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19
Very High Speed Integrated Circuits (VHSIC) Hardware Description Language (VHDL) Syntax and Semantics Summary
In: DTIC AND NTIS (1991)
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20
Adaptive Natural Language Processing
In: DTIC AND NTIS (1991)
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