| tech,12-1-E95-1021,ak | In this paper we compare two competing approaches to <term> part-of-speech tagging </term> , <term> statistical and constraint-based disambiguation </term> , using <term> French </term> as our <term> test language </term> . | #27348 In this paper we compare two competing approaches to part-of-speech tagging,statistical and constraint-based disambiguation, using French as our test language. | |
| model,36-2-E95-1021,ak | We imposed a time limit on our experiment : the amount of time spent on the design of our <term> constraint system </term> was about the same as the time we used to train and test the easy-to-implement <term> statistical model </term> . | #27396 We imposed a time limit on our experiment: the amount of time spent on the design of our constraint system was about the same as the time we used to train and test the easy-to-implementstatistical model. | |
| other,17-5-E95-1021,ak | But the <term> constraint-based tagger </term> seems to be superior even with the limited time we allowed ourselves for <term> rule development </term> . | #27442 But the constraint-based tagger seems to be superior even with the limited time we allowed ourselves forrule development. | |
| other,14-4-E95-1021,ak | The <term> accuracy </term> of the <term> statistical method </term> is reasonably good , comparable to <term> taggers </term> for <term> English </term> . | #27423 The accuracy of the statistical method is reasonably good, comparable to taggers forEnglish. | |
| other,21-1-E95-1021,ak | In this paper we compare two competing approaches to <term> part-of-speech tagging </term> , <term> statistical and constraint-based disambiguation </term> , using <term> French </term> as our <term> test language </term> . | #27357 In this paper we compare two competing approaches to part-of-speech tagging, statistical and constraint-based disambiguation, using French as ourtest language. | |
| tech,19-2-E95-1021,ak | We imposed a time limit on our experiment : the amount of time spent on the design of our <term> constraint system </term> was about the same as the time we used to train and test the easy-to-implement <term> statistical model </term> . | #27379 We imposed a time limit on our experiment: the amount of time spent on the design of ourconstraint system was about the same as the time we used to train and test the easy-to-implement statistical model. | |
| measure(ment),1-4-E95-1021,ak | The <term> accuracy </term> of the <term> statistical method </term> is reasonably good , comparable to <term> taggers </term> for <term> English </term> . | #27410 Theaccuracy of the statistical method is reasonably good, comparable to taggers for English. | |
| tech,2-5-E95-1021,ak | But the <term> constraint-based tagger </term> seems to be superior even with the limited time we allowed ourselves for <term> rule development </term> . | #27427 But theconstraint-based tagger seems to be superior even with the limited time we allowed ourselves for rule development. | |
| tech,4-4-E95-1021,ak | The <term> accuracy </term> of the <term> statistical method </term> is reasonably good , comparable to <term> taggers </term> for <term> English </term> . | #27413 The accuracy of thestatistical method is reasonably good, comparable to taggers for English. | |
| tech,9-1-E95-1021,ak | In this paper we compare two competing approaches to <term> part-of-speech tagging </term> , <term> statistical and constraint-based disambiguation </term> , using <term> French </term> as our <term> test language </term> . | #27345 In this paper we compare two competing approaches topart-of-speech tagging, statistical and constraint-based disambiguation, using French as our test language. | |
| tech,12-4-E95-1021,ak | The <term> accuracy </term> of the <term> statistical method </term> is reasonably good , comparable to <term> taggers </term> for <term> English </term> . | #27421 The accuracy of the statistical method is reasonably good, comparable totaggers for English. | |
| tech,4-3-E95-1021,ak | We describe the two <term> systems </term> and compare the results . | #27403 We describe the twosystems and compare the results. | |
| other,18-1-E95-1021,ak | In this paper we compare two competing approaches to <term> part-of-speech tagging </term> , <term> statistical and constraint-based disambiguation </term> , using <term> French </term> as our <term> test language </term> . | #27354 In this paper we compare two competing approaches to part-of-speech tagging, statistical and constraint-based disambiguation, usingFrench as our test language. |
