| tech,17-2-H92-1016,ak | 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> . | #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,6-4-H92-1016,ak | The <term> weighted error </term> for the entire <term> spoken language system </term> on the same <term> test set </term> is 49.3 % . | #23755 The weighted error for the entirespoken language system on the same test set is 49.3%. | |
| other,12-4-H92-1016,ak | The <term> weighted error </term> for the entire <term> spoken language system </term> on the same <term> test set </term> is 49.3 % . | #23761 The weighted error for the entire spoken language system on the sametest set is 49.3%. | |
| other,9-5-H92-1016,ak | Similar results were also obtained on the February '92 <term> benchmark evaluation </term> . | #23776 Similar results were also obtained on the February '92benchmark evaluation. | |
| tool,7-1-H92-1016,ak | 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> . | #23662 This paper describes the status of theMIT ATIS system as of February 1992, focusing especially on the changes made to the SUMMIT recognizer. | |
| lr,26-2-H92-1016,ak | 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> . | #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. | |
| tech,2-2-H92-1016,ak | 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> . | #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. | |
| tool,23-1-H92-1016,ak | 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> . | #23678 This paper describes the status of the MIT ATIS system as of February 1992, focusing especially on the changes made to theSUMMIT recognizer. | |
| lr,7-3-H92-1016,ak | 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 October '91 <term> test set </term> . | #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. | |
| measure(ment),1-4-H92-1016,ak | The <term> weighted error </term> for the entire <term> spoken language system </term> on the same <term> test set </term> is 49.3 % . | #23750 Theweighted error for the entire spoken language system on the same test set is 49.3%. | |
| model,10-2-H92-1016,ak | 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> . | #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. | |
| measure(ment),16-3-H92-1016,ak | 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 October '91 <term> test set </term> . | #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. | |
| other,37-3-H92-1016,ak | 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 October '91 <term> test set </term> . | #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. |
