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dc.contributor.authorZamaraeva, Olga
dc.contributor.authorSuárez Allegue, Lorena
dc.contributor.authorGómez-Rodríguez, Carlos
dc.date.accessioned2024-07-15T15:04:20Z
dc.date.available2024-07-15T15:04:20Z
dc.date.issued2024
dc.identifier.citationOlga Zamaraeva, Lorena S. Allegue, and Carlos Gómez-Rodríguez. 2024. Spanish Resource Grammar Version 2023. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 15093–15104, Torino, Italia. ELRA and ICCL.es_ES
dc.identifier.isbn978-249381410-4
dc.identifier.urihttp://hdl.handle.net/2183/38019
dc.descriptionProceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), held in Torino (Italia) 20-25 May, 2024.es_ES
dc.description.abstract[Abstract]: We present the latest version of the Spanish Resource Grammar (SRG), a grammar of Spanish implemented in the HPSG formalism. Such grammars encode a complex set of hypotheses about syntax making them a resource for empirical testing of linguistic theory. They also encode a strict notion of grammaticality which makes them a resource for natural language processing applications in computer-assisted language learning. This version of the SRG uses the recent version of the Freeling morphological analyzer and is released along with an automatically created, manually verified treebank of 2,291 sentences. We explain the treebanking process, emphasizing how it is different from treebanking with manual annotation and how it contributes to empirically-driven development of syntactic theory. The treebanks’ high level of consistency and detail makes them a resource for training high-quality semantic parsers and generally systems that benefit from precise and detailed semantics. Finally, we present the grammar’s coverage and overgeneration on 100 sentences from a learner corpus, a new research line related to developing methodologies for robust empirical evaluation of hypotheses in second language acquisition.es_ES
dc.description.sponsorshipWe acknowledge the European Union’s Horizon Europe Framework Programme which funded this research under the Marie Skłodowska-Curie post-doctoral fellowship grant HORIZON-MSCA-2021-PF-01 (GAUSS, grant agreement No 101063104); the European Research Council (ERC), which has funded this research under the Horizon Europe research and innovation programme (SALSA, grant agreement No 101100615); Grant SCANNER-UDC (PID2020-113230RB-C21) funded by MICIU/AEI/10.13039/501100011033; Xunta de Galicia (ED431C 2020/11); and Centro de Investigación de Galicia “CITIC”, funded by the Xunta de Galicia through the collaboration agreement between the Consellería de Cultura, Educación, Formación Profesional e Universidades and the Galician universities for the reinforcement of the research centres of the Galician University System (CIGUS). We also acknowledge grant GAP (PID2022-139308OA-I00) funded by MCIN/AEI/10.13039/501100011033/ and by ERDF “A way of making Europe”.es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2020/11es_ES
dc.language.isoenges_ES
dc.publisherEuropean Language Resources Association (ELRA) & ICCLes_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113230RB-C21/ES/MODELOS MULTITAREA DE ETIQUETADO SECUENCIAL PARA EL RECONOCIMIENTO DE ENTIDADES ENRIQUECIDO CON INFORMACIÓN LINGÜÍSTICA: SINTAXIS E INTEGRACIÓN MULTITAREA (SCANNER-UDC)es_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-139308OA-100/ES/REPRESENTACIONES ESTRUCTURADAS VERDES Y ENCHUFABLESes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/HE/101100615es_ES
dc.relationinfo:eu-repo/grantAgreement/EC/HE/101063104es_ES
dc.relation.urihttps://aclanthology.org/2024.lrec-main.1312es_ES
dc.rightsAtribución-NoComercial 4.0 Internacional (CC-BY-NC 4.0)es_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/es/*
dc.subjectGrammarses_ES
dc.subjectTreebankses_ES
dc.subjectSpanishes_ES
dc.subjectHPSGes_ES
dc.subjectSyntactic theoryes_ES
dc.titleSpanish Resource Grammar Version 2023es_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.volume2024es_ES
UDC.startPage15093es_ES
UDC.endPage15104es_ES
UDC.conferenceTitleJoint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)es_ES


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