BUSCADOR RECOLECTA

This is a domain-specific lexicon of for Spanish for environment (ENV) domain. This lexicon contains the a set of nouns classified into nine different semantic classes. It has been automatically created using the PANACEA web services for noun classification and the crawled data for this domain and language, previously annotated with FreeLing tagger.

This folder contains files for bilingual glossary creation from factored phrase tables that include part of speech tagged text for EL-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.

This data set contains Spanish word n-grams and Spanish 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 Spanish language and were automatically classified as relevant to the ENV domain. The ENV domain collection used consisted of approximately 49.86 million tokens. Data collection took place in the summer of 2011.

We present a set of English gold-standards for different noun classes created in PANACEA to train and test automatic classifiers. To create these gold-standards we used we the data from the SemEval 2007 workshop Task 07: Coarse Grained English All-Words (Navigli et al., 2007). The words used in this task were first automatically tagged with an automatic clustering method (Navigli, 2006) using senses based on the WordNet sense inventory and later manually validated by expert lexicographers. For our experiments, we extracted all of the words from this inventory that contained as their first sense a sense that corresponded to the lexical semantic classes, i.e. “people” in the case of the class HUMAN. These gold-standards were created in the context of PANACEA http://www.panacea-lr.eu), an EU-FP7 Funded Project under Grant Agreement 248064.

This data set contains English word n-grams and English word/tag/lemma n-grams in the "labour Legislation" (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 English language and were automatically classified as relevant to the LAB domain. The LAB domain collection used consisted of approximately 46.4 million tokens.Data collection took place in the summer of 2011.

PANACEA Annotated Greek Labour Legislation Corpus Version 2 consists of Greek texts in the Labour Legislation (LAB) domain that were collected and automatically annotated in the framework of PANACEA (http://www.panacea-lr.eu), an EU-FP7 Funded Project under Grant Agreement 248064. The texts were crawled web pages that were automatically detected to be in the Greek language and were automatically classified as relevant to the LAB domain. Data collection took place in the summer of 2011. The automatically assigned annotations deal with sentence and token segmentation, POS and lemma, dependency relations and named entities.

This data set contains Italian word n-grams and Italian 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 Italian language and were automatically classified as relevant to the ENV domain. The ENV domain collection used consisted of approximately 36 million tokens. Data collection took place in the summer of 2011.

This is a domain-specific lexicon for Spanish for environment (ENV) domain. This lexicon contain both, subcategorization frames for verbs and lexical semantic classes for nouns. This lexicon has been automatically created using PANACEA webservices using crawled data.

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.

Corpus d'anàlisi utilitzat en l'estudi lexicomètric de la tesi doctoral "Morales A. Estudi lexicomètric del vocabulari del procés d'aprovació de l'Estatut d'autonomia de Catalunya (2006) [tesi]. Barcelona: Universitat Pompeu Fabra; 2015. 600 p.".