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1
Morphological Segmentation for Keyword Spotting
In: MIT web domain (2014)
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2
TER-Plus: paraphrase, semantic, and alignment enhancements to translation edit rate
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 23 (2010) 2-3, 117-127
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OLC Linguistik
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3
Effect of sentence length and complexity on working memory performance in Hungarian children with specific language impairment (SLI): a cross-linguistic comparison
In: International journal of language & communication disorders. - Oxford : Wiley-Blackwell 41 (2006) 6, 653
OLC Linguistik
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4
Analysis of the errors produced by the 2004 BBN speech recognition system in the DARPA EARS evaluations
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 14 (2006) 5, 1745-1753
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5
Advances in transcription of broadcast news and conversational telephone speech within the combined EARS BBN/LIMSI system
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 14 (2006) 5, 1541-1556
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OLC Linguistik
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6
Advances in Transcription of Broadcast News and Conversational Telephone Speech Within the Combined EARS BBN/LIMSI System
In: ISSN: 1558-7916 ; IEEE Transactions on Audio, Speech and Language Processing ; https://hal.archives-ouvertes.fr/hal-01299058 ; IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2006 (2006)
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7
Headline Generation for Written and Broadcast News
In: DTIC (2005)
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8
Use of Minimal Lexical Conceptual Structures for Single-Document Summarization
In: DTIC (2004)
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9
Hedge Trimmer: A Parse-and-Trim Approach to Headline Generation
In: DTIC (2003)
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10
Progress in transcription of Broadcast News using Byblos
In: Speech communication. - Amsterdam [u.a.] : Elsevier 38 (2002) 1, 213-230
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11
Progress in transcription of broadcast news using Byblos
In: Speech communication. - Amsterdam [u.a.] : Elsevier 38 (2002) 1-2, 213-230
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12
Algorithms That Learn to Extract Information BBN: Description of the Sift System as Used for MUC-7
In: DTIC (1998)
Abstract: For MUC-7, BBN has for the first time fielded a fully-trained system for NE, TE, and TR; results are all the output of statistical language models trained on annotated data, rather than programs executing handwritten rules. Such trained systems have some significant advantages: 1. They can be easily ported to new domains by simply annotating data with semantic answers. 2. The complex interactions that make rule-based systems difficult to develop and maintain can here be learned automatically from the training data. We believe that the results in this evaluation are evidence that such trained systems, even at their current level of development, can perform roughly on a par with rules hand-tailored by experts. Since MUC-3, BBN has been steadily increasing the proportion of the information extraction process that is statistically trained. Already in MET-1, our name-finding results were the output of a fully statistical, HMM-based model, and that statistical Identifinder(trademark) model was also used for the NE task in MUC-7. For the MUC-7 TE and TR tasks, BBN developed SIFT, a new model that represents a significant further step along this path, replacing PLUM, a system requiring handwritten patterns, with SIFT, a single integrated trained model. ; Presented at the Message Understanding Conference (7th), MUC-7, held in Fairfax, VA on 29 Apr-1 May 1998 and published in proceedings of the same. The original document contains color images.
Keyword: *COMPUTATIONAL LINGUISTICS; *CONDITIONING(LEARNING); ALGORITHMS; AUGMENTED PARSE TREES; Computer Programming and Software; DYNAMIC PROGRAMMING; INFORMATION RETRIEVAL; Linguistics; MAXIMUM LIKELIHOOD ESTIMATION; NATURAL LANGUAGE; Operations Research; SIFT(STATISTICS FOR INFORMATION FROM TEXT); STATISTICAL LANGUAGE MODELS; STATISTICAL PROCESSES; Statistics and Probability; SYNTAX
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA460615
http://www.dtic.mil/docs/citations/ADA460615
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13
Automatic speech and speaker recognition : advanced topics
Gopalakrishnan, P.S. (Mitarb.); Alleva, Fileno A. (Mitarb.); Lee, Chin-Hui (Hrsg.). - Boston [u.a.] : Kluwer, 1996
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UB Frankfurt Linguistik
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14
Coping with ambiguity and unknown words through probabilistic models
In: Using large corpora (Cambridge, Mass, 1994), p. 319-342
MPI für Psycholinguistik
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15
Coping with ambiguity and unknown words through probabilistic models
In: Using large corpora. - Cambridge, Mass. [u.a.] : MIT Press (1994), 319-342
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16
Is N-Best Dead?
In: DTIC (1994)
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17
Coping with Ambiguity and Unknown Words through Probabilistic Models
In: Computational linguistics. - Cambridge, Mass. : MIT Press 19 (1993) 2, 359-382
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18
Using large corpora: II
Biber, Douglas (Mitarb.); Brent, Michael R. (Mitarb.); Brown, Peter F. (Mitarb.)...
In: Computational linguistics. - Cambridge, Mass. : MIT Press 19 (1993) 2, 219-382
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19
Coping with Ambiguity and Unknown Words through Probabilistic Models
In: DTIC (1993)
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20
Comparative Experiments on Large Vocabulary Speech Recognition
In: DTIC (1993)
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