Resultados de investigación

This is the LMF version of the Apertium bilingual dictionary for Esperanto and English languages. Bilingual LMF dictionaries were generated from Apertium bilingual dix files. For each Apertium bilingual correspondence, the corresponding source and target monolingual entries (LexicalEntry) were generated in addition to the bilingual correspondence (SenseAxis) element. Apertium is a free/open-source machine translation platform, initially aimed at related-language pairs but recently expanded to deal with more divergent language pairs (such as Esperanto-English). The platform provides: a language-independent machine translation engine; tools to manage the linguistic data necessary to build a machine translation system for a given language pair and linguistic data for a growing number of language pairs.

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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 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.

This is a domain-specific lexicon for Spanish subcategorization frames for environment (ENV) domain. This lexicon has been automatically created using the PANACEA web service named tpc_subcat_inductive (http://registry.elda.org/services/223) and the crawled data for this domain and language, previously annotated with Spanish Malt Parser web service (http://registry.elda.org/services/249).

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.

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This is a domain-specific gold-standard for Spanish subcategorization frames, in the case, for environment (ENV) domain. This gold-standard was manually developed, choosing a set of 30 verbs and 200 senteces for each verb. For each sentence, the SCFs present for the studied verb were manually annotated. The sentences were selected from crawled Web pages that were automatically detected to be in the Spanish language and were automatically classified as relevant to the ENV domain. Data collection took place in the summer of 2011. This gold-standard was created in the context of PANACEA (http://www.panacea-lr.eu), an EU-FP7 Funded Project under Grant Agreement 248064.