BUSCADOR RECOLECTA

Oceanographic data acquired during the ABRIC-4 Cruise (29GD20230310) on board the Research Vessel García del Cid in 2023., Assessment of Bottom‐trawling Resuspension Impacts in deep benthic Communities (ABRIC)

Oceanographic data acquired during the ARCO Cruise (29GD20230626) on board the Research Vessel García del Cid in 2023., Assessment of fishing grounds Restoration after a Change of bottom trawling Otter boards (ARCO). The main objective of the ARCO project is to study the current sedimentary processes related with trawling activity in the Palamós submarine canyon after the change of trawl doors by the Palamós harbor fleet. The impacts of this type of fishing in deep-sea environments are considered very high due to their intensity and recurrence, and to the fact that sediment dynamics are less energetic and the benthonic ecosystems are more vulnerable and have less resilience than in neritic or shelf environments

This is the stand-off GrAF version of Spanish portions of the Wikipedia (based on a 2006 dump). This Wikipedia Spanish Corpus contains 257019 articles that contain about 150,1 million words in raw text format. It has been cleaned by erasing disambiguation pages, removing some XML tags and homogenizing lists ending tag. Then, the corpus has been processed for adding structural tagging (head, paragraph, sentence, list, etc.) and morphosyntactic information.

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This treebank consists of a number of Spanish and English sentences that has been manually annotated with syntactical information. The sentences have been choosed from the Penn TreeBank corpus, a resource containing texts from Wall Street Journal and originally compiled by the University of Pennsylvania./nIt contains 805 sentences that have been human translated to Spanish. The original English and the translated Spanish sentences share the same identification number. Sentences in both languages have been processed using the DELPH-IN environment (http://www.delph-in.net/).

This is the stand-off GrAF version of Catalan portions of the Wikipedia (based on a 2006 dump). This Wikipedia Catalan Corpus contains 122052 articles that contain about 47,3 million words in raw text format. It has been cleaned by erasing disambiguation pages, removing some XML tags and homogenizing lists ending tag. Then, the corpus has been processed for adding structural tagging (head, paragraph, sentence, list, etc.) and morphosyntactic information.

The corpus consists of a number of specialized texts (Law, Economics, Medicine, Environment and Computer Science domains) available in both Spanish and English languages. This LSP corpus has been compiled with articles from specialized Publications, PhD theses, etc./nIt contains about a total of about 2,1 M words in 127 documents in each language.

This is the LMF version of the English-Galician CLUVI Dictionary developed under the direction of Xavier Gómez Guinovart (2005-2012) from parallel texts in the CLUVI Corpus of the University of Vigo.

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This is the LMF version of the SenSem database created by the Spanish Inter-University Research Group GRIAL. As part of SenSem project, a corpus of sentences annotated at the semantic and syntactic levels was created. The source corpus is made up of around 13 million words extracted from the online versions of a Spanish newspaper. From this corpus, 25.000 sentences have been randomly selected, 100 for each of the 250 more frequent verbs in current Spanish. Each sentence has been labeled according to the verb sense it exemplifies, the type of complements it takes (arguments or adjunts), their syntactic category and function, and finally each argument has been labelled with a semantic role. The sentence has also been annotated as to its semantics both in relation with aspectual information and the type of construction being expressed. From this annotated corpus a lexical data base of verbs was created in which all the previous information will be recollected. The unit of description of the verbs is the sense. In the description of the verbs, argument structure is included, incorporating subcategorization patterns, with the information of frequency of them, semantic roles and information regarding sentence semantics. The lexicon and the corpus are associated at sense level and together shape up what we call the data bank of the sentential semantic of the Spanish verbs. Both resources are available via web and will form a very important source of linguistic information which we hope will be of utility in different areas of the natural language processing and linguistic research in general. The LMF conversion has been done by the Universitat Pompeu Fabra.