Resultados totales (Incluyendo duplicados): 4
Encontrada(s) 1 página(s)
Encontrada(s) 1 página(s)
CORA.Repositori de Dades de Recerca
doi:10.34810/data346
Dataset. 2023
PANACEA LABOUR LEGISLATION CORPUS N-GRAMS FR (FRENCH)
- Dublin City University. School of Computing
This data set contains French word n-grams and French word/tag/lemma n-grams in the "Labour" (LAB) domain. N-grams are accompanied by their observed frequency counts. The length of the n-grams ranges from unigrams (single words) to five-grams. The data were collected in the context of PANACEA (http://www.panacea-lr.eu), an EU-FP7 Funded Project under Grant Agreement 248064. The n-gram counts were generated from crawled Web pages that were automatically detected to be in the French language and were automatically classified as relevant to the LAB domain. The LAB domain collection used consisted of approximately 56.4 million tokens. Data collection took place in the summer of 2011.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data349
Dataset. 2023
PANACEA LABOUR BILINGUAL GLOSSARY FR-EN (FRENCH-ENGLISH)
- Dublin City University. School of Computing
This folder contains files for bilingual glossary creation from factored phrase tables that include part of speech tagged text for for FR-EN language pair. The tables are firstly filtered using part of speech tag sequences for each language so that entries with unsuitable part of speech sequences are filtered out. Then, feature scores from the phrase table are combined in a log-linear model to score each entry. The user specifies how large the output glossary should be (relative to the input) and the bottom ranking entries are discarded to produce the desired size glossary.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data356
Dataset. 2012
PANACEA ENVIRONMENT BILINGUAL GLOSSARY FR-EN (FRENCH-ENGLISH)
- Dublin City University. School of Computing
This folder contains files for bilingual glossary creation from factored phrase tables that include part of speech tagged text for FR-EN language pair. The tables are firstly filtered using part of speech tag sequences for each language so that entries with unsuitable part of speech sequences are filtered out. Then, feature scores from the phrase table are combined in a log-linear model to score each entry. The user specifies how large the output glossary should be (relative to the input) and the bottom ranking entries are discarded to produce the desired size glossary.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data358
Dataset. 2023
PANACEA ENVIRONMENT CORPUS N-GRAMS FR (FRENCH)
- Dublin City University. School of Computing
This data set contains French word n-grams and French word/tag/lemma n-grams in the "Environment" (ENV) domain. N-grams are accompanied by their observed frequency counts. The length of the n-grams ranges from unigrams (single words) to five-grams. The data were collected in the context of PANACEA (http://www.panacea-lr.eu), an EU-FP7 Funded Project under Grant Agreement 248064. The n-gram counts were generated from crawled Web pages that were automatically detected to be in the French language and were automatically classified as relevant to the ENV domain. The ENV domain collection used consisted of approximately 47.3 million tokens. Data collection took place in the summer of 2011.
Proyecto: //
Buscador avanzado