Concordance

Query H92-1016 12 >
Subparts filter 12 (559.5 per million)

tool,7-1-H92-1016,bq	This paper describes the status of the <term> MIT ATIS system </term> as of February 1992 , focusing especially on the changes made to the <term> SUMMIT recognizer </term> .	#18690 This paper describes the status of theMIT ATIS system as of February 1992, focusing especially on the changes made to the SUMMIT recognizer.
tool,23-1-H92-1016,bq	This paper describes the status of the <term> MIT ATIS system </term> as of February 1992 , focusing especially on the changes made to the <term> SUMMIT recognizer </term> .	#18706 This paper describes the status of the MIT ATIS system as of February 1992, focusing especially on the changes made to theSUMMIT recognizer.
tech,2-2-H92-1016,bq	These include <term> context-dependent phonetic modelling </term> , the use of a <term> bigram language model </term> in conjunction with a <term> probabilistic LR parser </term> , and refinements made to the <term> lexicon </term> .	#18711 These includecontext-dependent phonetic modelling, the use of a bigram language model in conjunction with a probabilistic LR parser, and refinements made to the lexicon.
model,10-2-H92-1016,bq	These include <term> context-dependent phonetic modelling </term> , the use of a <term> bigram language model </term> in conjunction with a <term> probabilistic LR parser </term> , and refinements made to the <term> lexicon </term> .	#18719 These include context-dependent phonetic modelling, the use of abigram language model in conjunction with a probabilistic LR parser, and refinements made to the lexicon.
tech,17-2-H92-1016,bq	These include <term> context-dependent phonetic modelling </term> , the use of a <term> bigram language model </term> in conjunction with a <term> probabilistic LR parser </term> , and refinements made to the <term> lexicon </term> .	#18726 These include context-dependent phonetic modelling, the use of a bigram language model in conjunction with aprobabilistic LR parser, and refinements made to the lexicon.
lr,26-2-H92-1016,bq	These include <term> context-dependent phonetic modelling </term> , the use of a <term> bigram language model </term> in conjunction with a <term> probabilistic LR parser </term> , and refinements made to the <term> lexicon </term> .	#18735 These include context-dependent phonetic modelling, the use of a bigram language model in conjunction with a probabilistic LR parser, and refinements made to thelexicon.
lr,7-3-H92-1016,bq	Together with the use of a larger <term> training set </term> , these modifications combined to reduce the <term> speech recognition word and sentence error rates </term> by a factor of 2.5 and 1.6 , respectively , on the <term> October '91 test set </term> .	#18744 Together with the use of a largertraining set, these modifications combined to reduce the speech recognition word and sentence error rates by a factor of 2.5 and 1.6, respectively, on the October '91 test set.
measure(ment),16-3-H92-1016,bq	Together with the use of a larger <term> training set </term> , these modifications combined to reduce the <term> speech recognition word and sentence error rates </term> by a factor of 2.5 and 1.6 , respectively , on the <term> October '91 test set </term> .	#18753 Together with the use of a larger training set, these modifications combined to reduce thespeech recognition word and sentence error rates by a factor of 2.5 and 1.6, respectively, on the October '91 test set.
lr-prod,35-3-H92-1016,bq	Together with the use of a larger <term> training set </term> , these modifications combined to reduce the <term> speech recognition word and sentence error rates </term> by a factor of 2.5 and 1.6 , respectively , on the <term> October '91 test set </term> .	#18772 Together with the use of a larger training set, these modifications combined to reduce the speech recognition word and sentence error rates by a factor of 2.5 and 1.6, respectively, on theOctober '91 test set.
tech,6-4-H92-1016,bq	The weighted error for the entire <term> spoken language system </term> on the same <term> test set </term> is 49.3 % .	#18783 The weighted error for the entirespoken language system on the same test set is 49.3%.
lr,12-4-H92-1016,bq	The weighted error for the entire <term> spoken language system </term> on the same <term> test set </term> is 49.3 % .	#18789 The weighted error for the entire spoken language system on the sametest set is 49.3%.
lr-prod,7-5-H92-1016,bq	Similar results were also obtained on the <term> February '92 benchmark evaluation </term> .	#18802 Similar results were also obtained on theFebruary '92 benchmark evaluation.


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