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A Methodology for End-to-End Evaluation of Arabic Document Image Processing Software
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In: DTIC (2006)
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| 3 |
The Bible, Truth, and Multilingual OCR Evaluation
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In: DTIC (1998)
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Adaptive Statistical Language Modeling; A Maximum Entropy Approach
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In: DTIC AND NTIS (1994)
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Abstract:
Language modeling is the attempt to characterize, capture and exploit regularities in natural language. In statistical language modeling, large amounts of text are used to automatically determine the model's parameters. Language modeling is useful in automatic speech recognition, machine translation, and any other application that processes natural language with incomplete knowledge. In this thesis, I view language as an information source which emits a stream of symbols from a finite alphabet (the vocabulary). The goal of language modeling is then to identify and exploit sources of information in the language stream, so as to minimize its perceived entropy. Most existing statistical language models exploit the immediate past only. To extract information from further back in the document's history, I use trigger pairs as the basic information bearing elements. This allows the model to adapt its expectations to the topic of discourse. Next, statistical evidence from many sources must be combined. Traditionally, linear interpolation and its variants have been used, but these are shown here to be seriously deficient. Instead, I apply the principle of Maximum Entropy (ME). Each information source gives rise to a set of constraints, to be imposed on the combined estimate. The intersection of these constraints is the set of probability functions which are consistent with all the information sources. The function with the highest entropy within that set is the NE solution. Language modeling, Adaptive language modeling, Statistical language modeling, Maximum entropy, Speech recognition.
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Keyword:
*NATURAL LANGUAGE; *SPEECH RECOGNITION; ALGORITHMS; AUTOMATIC; BEARINGS; COMPUTER AIDED INSTRUCTION; COMPUTER APPLICATIONS; Cybernetics; ENTROPY; ERRORS; ESTIMATES; INTERPOLATION; LANGUAGE TRANSLATION; Linguistics; MACHINE TRANSLATION; PARAMETERS; PROBABILITY DISTRIBUTION FUNCTIONS; STATISTICS; SYMBOLS; TEST AND EVALUATION; THESES; VOCABULARY
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA281027
http://www.dtic.mil/docs/citations/ADA281027
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| 5 |
Comparative Experiments on Large Vocabulary Speech Recognition
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In: DTIC (1993)
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| 6 |
Methods for Parallelizing Search Paths in Phrasing
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In: DTIC AND NTIS (1993)
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| 7 |
GE-CMU: Description of the Tipster/Shogun System as Used for MUC-4
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In: DTIC (1992)
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| 11 |
Integration of Speech and Natural Language
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In: DTIC AND NTIS (1989)
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| 12 |
Natural Language for Problem Solving Systems
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In: DTIC AND NTIS (1989)
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| 13 |
Operational Test and Evaluation of the Meter Engineering Development Model.
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In: DTIC AND NTIS (1982)
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| 14 |
The Cloze Test as a Procedure for Establishing Objective German Prose Readability Standards.
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In: DTIC AND NTIS (1978)
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