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Spanish Resource Grammar Version 2023
dc.contributor.author | Zamaraeva, Olga | |
dc.contributor.author | Suárez Allegue, Lorena | |
dc.contributor.author | Gómez-Rodríguez, Carlos | |
dc.date.accessioned | 2024-07-15T15:04:20Z | |
dc.date.available | 2024-07-15T15:04:20Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Olga 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.isbn | 978-249381410-4 | |
dc.identifier.uri | http://hdl.handle.net/2183/38019 | |
dc.description | Proceedings 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.sponsorship | We 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.sponsorship | Xunta de Galicia; ED431C 2020/11 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | European Language Resources Association (ELRA) & ICCL | es_ES |
dc.relation | info: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.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-139308OA-100/ES/REPRESENTACIONES ESTRUCTURADAS VERDES Y ENCHUFABLES | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/HE/101100615 | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/HE/101063104 | es_ES |
dc.relation.uri | https://aclanthology.org/2024.lrec-main.1312 | es_ES |
dc.rights | Atribución-NoComercial 4.0 Internacional (CC-BY-NC 4.0) | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/es/ | * |
dc.subject | Grammars | es_ES |
dc.subject | Treebanks | es_ES |
dc.subject | Spanish | es_ES |
dc.subject | HPSG | es_ES |
dc.subject | Syntactic theory | es_ES |
dc.title | Spanish Resource Grammar Version 2023 | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.volume | 2024 | es_ES |
UDC.startPage | 15093 | es_ES |
UDC.endPage | 15104 | es_ES |
UDC.conferenceTitle | Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) | es_ES |
UDC.coleccion | Investigación | |
UDC.departamento | Letras | |
UDC.grupoInv | Lingua e Sociedade da Información (LYS) |
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