| tool,0-1-P99-1068,ak | We illustrate the effectiveness of the method by the analysis of 300 <term> test noun phrases </term> . <term> STRAND </term> ( Resnik , 1998 ) is a <term> language-independent system for automatic discovery of text in parallel translation </term> on the <term> World Wide Web </term> . | #31098 We illustrate the effectiveness of the method by the analysis of 300 test noun phrases.STRAND (Resnik, 1998) is a language-independent system for automatic discovery of text in parallel translation on the World Wide Web. | |
| tech,8-1-P99-1068,ak | <term> STRAND </term> ( Resnik , 1998 ) is a <term> language-independent system for automatic discovery of text in parallel translation </term> on the <term> World Wide Web </term> . | #31106 STRAND (Resnik, 1998) is alanguage-independent system for automatic discovery of text in parallel translation on the World Wide Web. | |
| other,20-1-P99-1068,ak | <term> STRAND </term> ( Resnik , 1998 ) is a <term> language-independent system for automatic discovery of text in parallel translation </term> on the <term> World Wide Web </term> . | #31118 STRAND (Resnik, 1998) is a language-independent system for automatic discovery of text in parallel translation on theWorld Wide Web. | |
| tool,5-2-P99-1068,ak | This paper extends the preliminary <term> STRAND results </term> by adding <term> automatic language identification </term> , scaling up by <term> orders of magnitude </term> , and formally evaluating <term> performance </term> . | #31127 This paper extends the preliminarySTRAND results by adding automatic language identification, scaling up by orders of magnitude, and formally evaluating performance. | |
| tech,9-2-P99-1068,ak | This paper extends the preliminary <term> STRAND results </term> by adding <term> automatic language identification </term> , scaling up by <term> orders of magnitude </term> , and formally evaluating <term> performance </term> . | #31131 This paper extends the preliminary STRAND results by addingautomatic language identification, scaling up by orders of magnitude, and formally evaluating performance. | |
| other,16-2-P99-1068,ak | This paper extends the preliminary <term> STRAND results </term> by adding <term> automatic language identification </term> , scaling up by <term> orders of magnitude </term> , and formally evaluating <term> performance </term> . | #31138 This paper extends the preliminary STRAND results by adding automatic language identification, scaling up byorders of magnitude, and formally evaluating performance. | |
| measure(ment),23-2-P99-1068,ak | This paper extends the preliminary <term> STRAND results </term> by adding <term> automatic language identification </term> , scaling up by <term> orders of magnitude </term> , and formally evaluating <term> performance </term> . | #31145 This paper extends the preliminary STRAND results by adding automatic language identification, scaling up by orders of magnitude, and formally evaluatingperformance. | |
| lr,6-3-P99-1068,ak | The most recent end-product is an <term> automatically acquired parallel corpus </term> comprising 2491 <term> English-French document pairs </term> , approximately 1.5 million <term> words </term> per <term> language </term> . | #31153 The most recent end-product is anautomatically acquired parallel corpus comprising 2491 English-French document pairs, approximately 1.5 million words per language. | |
| lr,12-3-P99-1068,ak | The most recent end-product is an <term> automatically acquired parallel corpus </term> comprising 2491 <term> English-French document pairs </term> , approximately 1.5 million <term> words </term> per <term> language </term> . | #31159 The most recent end-product is an automatically acquired parallel corpus comprising 2491English-French document pairs, approximately 1.5 million words per language. | |
| other,19-3-P99-1068,ak | The most recent end-product is an <term> automatically acquired parallel corpus </term> comprising 2491 <term> English-French document pairs </term> , approximately 1.5 million <term> words </term> per <term> language </term> . | #31166 The most recent end-product is an automatically acquired parallel corpus comprising 2491 English-French document pairs, approximately 1.5 millionwords per language. | |
| other,21-3-P99-1068,ak | The most recent end-product is an <term> automatically acquired parallel corpus </term> comprising 2491 <term> English-French document pairs </term> , approximately 1.5 million <term> words </term> per <term> language </term> . | #31168 The most recent end-product is an automatically acquired parallel corpus comprising 2491 English-French document pairs, approximately 1.5 million words perlanguage. |
