| tech,17-2-H92-1016,ak | model </term> in conjunction with a <term> | probabilistic LR parser | </term> , and refinements made to the <term> | #23698 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. | |
| tech,2-2-H92-1016,ak | SUMMIT recognizer </term> . These include <term> | context-dependent phonetic modelling | </term> , the use of a <term> bigram language | #23683 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. | |
| lr,7-3-H92-1016,ak | Together with the use of a larger <term> | training set | </term> , these modifications combined to | #23716 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. | |
| other,37-3-H92-1016,ak | respectively , on the October '91 <term> | test set | </term> . The <term> weighted error </term> for | #23746 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 the October '91test set. | |
| tool,23-1-H92-1016,ak | especially on the changes made to the <term> | SUMMIT recognizer | </term> . These include <term> context-dependent | #23678 This paper describes the status of the MIT ATIS system as of February 1992, focusing especially on the changes made to theSUMMIT recognizer. | |
| other,9-5-H92-1016,ak | also obtained on the February '92 <term> | benchmark evaluation | </term> . This paper describes three relatively | #23776 Similar results were also obtained on the February '92benchmark evaluation. | |
| lr,26-2-H92-1016,ak | </term> , and refinements made to the <term> | lexicon | </term> . Together with the use of a larger | #23707 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. | |
| tool,7-1-H92-1016,ak | paper describes the status of the <term> | MIT ATIS system | </term> as of February 1992 , focusing especially | #23662 This paper describes the status of theMIT ATIS system as of February 1992, focusing especially on the changes made to the SUMMIT recognizer. | |
| measure(ment),16-3-H92-1016,ak | modifications combined to reduce the <term> | speech recognition word and sentence error rates | </term> by a factor of 2.5 and 1.6 , respectively | #23725 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. | |
| measure(ment),1-4-H92-1016,ak | October '91 <term> test set </term> . The <term> | weighted error | </term> for the entire <term> spoken language | #23750 Theweighted error for the entire spoken language system on the same test set is 49.3%. | |
| model,10-2-H92-1016,ak | phonetic modelling </term> , the use of a <term> | bigram language model | </term> in conjunction with a <term> probabilistic | #23691 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. | |
| other,12-4-H92-1016,ak | language system </term> on the same <term> | test set | </term> is 49.3 % . Similar results were | #23761 The weighted error for the entire spoken language system on the sametest set is 49.3%. | |
| tech,6-4-H92-1016,ak | weighted error </term> for the entire <term> | spoken language system | </term> on the same <term> test set </term> is | #23755 The weighted error for the entirespoken language system on the same test set is 49.3%. |
