Measuring the impact of collocational knowledge on sentence parsing
In this paper we focus on collocations, which have been studied in computational linguistics since they constitute a key factor when processing natural languages. For instance, they usually represent a challenge in automatic translation because the association of two terms is not easily computed. We...
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Universidad de Costa Rica. Campus Rodrigo Facio. Sitio web: https://www.ucr.ac.cr/ Teléfono: (506) 2511-4000. Correo de soporte: revistas@ucr.ac.cr
2017
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| Acceso en línea: | https://revistas.ucr.ac.cr/index.php/kanina/article/view/30225 |
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KANINA302252022-05-31T02:51:58Z Measuring the impact of collocational knowledge on sentence parsing Wehrli, Eric collocations multiword expressions sentence parsing computational linguistics natural language processing In this paper we focus on collocations, which have been studied in computational linguistics since they constitute a key factor when processing natural languages. For instance, they usually represent a challenge in automatic translation because the association of two terms is not easily computed. We proposed that the parser should be provided with a lexical database in order to make more effective the identification of collocations during the parsing process. We assessed this claim by using a corpus of 6’000 sentences retrieved from the British magazine The Economist Espresso. The corpus was parsed twice, first with the collocation detection component turned on and then with it turned off, and to make the comparison the Fips tagger was used. The results showed an improvement of the quality when the parser has access to collocation knowledge. Universidad de Costa Rica. Campus Rodrigo Facio. Sitio web: https://www.ucr.ac.cr/ Teléfono: (506) 2511-4000. Correo de soporte: revistas@ucr.ac.cr 2017-08-16 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Article Article application/pdf https://revistas.ucr.ac.cr/index.php/kanina/article/view/30225 10.15517/rk.v40i4.30225 Káñina; Vol. 40 No. 4 (2016): Káñina número extraordinario; 49-58 Káñina; Vol. 40 Núm. 4 (2016): Káñina número extraordinario; 49-58 Káñina; Vol. 40 N.º 4 (2016): Káñina número extraordinario; 49-58 2215-2636 0378-0473 spa https://revistas.ucr.ac.cr/index.php/kanina/article/view/30225/30205 Derechos de autor 2017 Káñina |
| institution |
Universidad de Costa Rica |
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Káñina |
| language |
spa |
| format |
Online |
| author |
Wehrli, Eric |
| spellingShingle |
Wehrli, Eric Measuring the impact of collocational knowledge on sentence parsing |
| author_facet |
Wehrli, Eric |
| author_sort |
Wehrli, Eric |
| description |
In this paper we focus on collocations, which have been studied in computational linguistics since they constitute a key factor when processing natural languages. For instance, they usually represent a challenge in automatic translation because the association of two terms is not easily computed. We proposed that the parser should be provided with a lexical database in order to make more effective the identification of collocations during the parsing process. We assessed this claim by using a corpus of 6’000 sentences retrieved from the British magazine The Economist Espresso. The corpus was parsed twice, first with the collocation detection component turned on and then with it turned off, and to make the comparison the Fips tagger was used. The results showed an improvement of the quality when the parser has access to collocation knowledge. |
| title |
Measuring the impact of collocational knowledge on sentence parsing |
| title_short |
Measuring the impact of collocational knowledge on sentence parsing |
| title_full |
Measuring the impact of collocational knowledge on sentence parsing |
| title_fullStr |
Measuring the impact of collocational knowledge on sentence parsing |
| title_full_unstemmed |
Measuring the impact of collocational knowledge on sentence parsing |
| title_sort |
measuring the impact of collocational knowledge on sentence parsing |
| publisher |
Universidad de Costa Rica. Campus Rodrigo Facio. Sitio web: https://www.ucr.ac.cr/ Teléfono: (506) 2511-4000. Correo de soporte: revistas@ucr.ac.cr |
| publishDate |
2017 |
| url |
https://revistas.ucr.ac.cr/index.php/kanina/article/view/30225 |
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AT wehrlieric measuringtheimpactofcollocationalknowledgeonsentenceparsing |
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