Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/114787
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dc.contributor.authorZammit, Andrei-
dc.contributor.authorČéplö, Slavomír-
dc.contributor.authorvan der Plas, Lonneke-
dc.contributor.authorBorg, Claudia-
dc.date.accessioned2023-10-30T12:45:32Z-
dc.date.available2023-10-30T12:45:32Z-
dc.date.issued2019-
dc.identifier.citationZammit, A., Čéplö, S., van der Plas, L. and Borg C. (2019) A Dependency Parser for Maltese - Comparing the impact of transfer learning from Romance and Semitic Languages in the 7th International Conference on Maltese Linguistics, Kraków.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/114787-
dc.description.abstractThis work looks at the results achieved in building a computational dependency parser for Maltese, a computational tool which automatically labels the structure of a given Maltese sentence.en_GB
dc.language.isoenen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectParsing (Computer grammar)en_GB
dc.subjectArtificial intelligenceen_GB
dc.subjectMachine learningen_GB
dc.subjectTranslating and interpreting -- Technological innovationsen_GB
dc.subjectDeep learning (Machine learning)en_GB
dc.titleA dependency parser for Maltese - comparing the impact of transfer learning from Romance and Semitic languagesen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencenameThe 7th International Conference on Maltese Linguisticsen_GB
dc.bibliographicCitation.conferenceplaceKraków, Poland. 10-11/07/2019.en_GB
dc.description.reviewedpeer-revieweden_GB
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