| tech,0-1-H89-2028,ak | as is the <term> CAS approach </term> . <term> | Spoken Language Systems | </term> will require integration of <term> | #19977 Though some details of the CAS are particular to individual domains, the Comparator software is domain-independent, as is the CAS approach.Spoken Language Systems will require integration of continuous speech recognition and natural language processing. | |
| tech,7-1-H89-2028,ak | </term> will require integration of <term> | continuous speech recognition | </term> and <term> natural language processing | #19984 Spoken Language Systems will require integration ofcontinuous speech recognition and natural language processing. | |
| tech,11-1-H89-2028,ak | continuous speech recognition </term> and <term> | natural language processing | </term> . This is a proposed <term> specification | #19988 Spoken Language Systems will require integration of continuous speech recognition andnatural language processing. | |
| model,4-2-H89-2028,ak | processing </term> . This is a proposed <term> | specification | </term> for an <term> interface </term> between | #19996 This is a proposedspecification for an interface between a continuous speech recognizer (CSR) and a natural language processor (NLP) to form a spoken language system. | |
| tech,7-2-H89-2028,ak | proposed <term> specification </term> for an <term> | interface | </term> between a <term> continuous speech | #19999 This is a proposed specification for aninterface between a continuous speech recognizer (CSR) and a natural language processor (NLP) to form a spoken language system. | |
| tech,10-2-H89-2028,ak | an <term> interface </term> between a <term> | continuous speech recognizer ( CSR ) | </term> and a <term> natural language processor | #20002 This is a proposed specification for an interface between acontinuous speech recognizer ( CSR ) and a natural language processor (NLP) to form a spoken language system. | |
| tech,18-2-H89-2028,ak | speech recognizer ( CSR ) </term> and a <term> | natural language processor ( NLP ) | </term> to form a <term> spoken language system | #20010 This is a proposed specification for an interface between a continuous speech recognizer (CSR) and anatural language processor ( NLP ) to form a spoken language system. | |
| tech,27-2-H89-2028,ak | processor ( NLP ) </term> to form a <term> | spoken language system | </term> . Both components are integrated | #20019 This is a proposed specification for an interface between a continuous speech recognizer (CSR) and a natural language processor (NLP) to form aspoken language system. | |
| tech,6-3-H89-2028,ak | Both components are integrated with a <term> | stack controller | </term> and contribute to the <term> search | #20029 Both components are integrated with astack controller and contribute to the search control. | |
| tech,12-3-H89-2028,ak | controller </term> and contribute to the <term> | search control | </term> . The <term> specification </term> also | #20035 Both components are integrated with a stack controller and contribute to thesearch control. | |
| model,1-4-H89-2028,ak | the <term> search control </term> . The <term> | specification | </term> also defines a <term> Top-N mode </term> | #20039 Thespecification also defines a Top-N mode in which a first part outputs a list of top N scored sentences for postprocessing by a second part. | |
| tech,5-4-H89-2028,ak | specification </term> also defines a <term> | Top-N mode | </term> in which a first part outputs a list | #20043 The specification also defines aTop-N mode in which a first part outputs a list of top N scored sentences for postprocessing by a second part. | |
| tech,21-4-H89-2028,ak | list of top N scored sentences for <term> | postprocessing | </term> by a second part . An additional | #20059 The specification also defines a Top-N mode in which a first part outputs a list of top N scored sentences forpostprocessing by a second part. | |
| model,5-5-H89-2028,ak | part . An additional use for this <term> | specification | </term> might be <term> NLP evaluation testing | #20070 An additional use for thisspecification might be NLP evaluation testing: a common simulated CSR could be interfaced to each site's NLP to provide identical testing environments. | |
| tech,8-5-H89-2028,ak | <term> specification </term> might be <term> | NLP evaluation testing | </term> : a common simulated <term> CSR </term> | #20073 An additional use for this specification might beNLP evaluation testing: a common simulated CSR could be interfaced to each site's NLP to provide identical testing environments. | |
| tech,15-5-H89-2028,ak | testing </term> : a common simulated <term> | CSR | </term> could be interfaced to each site | #20080 An additional use for this specification might be NLP evaluation testing: a common simulatedCSR could be interfaced to each site's NLP to provide identical testing environments. | |
| tech,23-5-H89-2028,ak | could be interfaced to each site 's <term> | NLP | </term> to provide identical <term> testing | #20088 An additional use for this specification might be NLP evaluation testing: a common simulated CSR could be interfaced to each site'sNLP to provide identical testing environments. | |
| tech,27-5-H89-2028,ak | <term> NLP </term> to provide identical <term> | testing environments | </term> . A model is presented to characterize | #20092 An additional use for this specification might be NLP evaluation testing: a common simulated CSR could be interfaced to each site's NLP to provide identicaltesting environments. |
