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Parsing IsiZulu text using grammatical framework

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dc.contributor.author Marais, Laurette
dc.contributor.author Pretorius, L
dc.date.accessioned 2023-12-08T09:31:30Z
dc.date.available 2023-12-08T09:31:30Z
dc.date.issued 2023-07
dc.identifier.citation Marais, L. & Pretorius, L. 2023. Parsing IsiZulu text using grammatical framework. <i>Lecture Notes in Networks and Systems, 741.</i> http://hdl.handle.net/10204/13373 en_ZA
dc.identifier.issn 2367-3370
dc.identifier.issn 2367-3389
dc.identifier.uri https://doi.org/10.1007/978-3-031-38318-2_17
dc.identifier.uri http://hdl.handle.net/10204/13373
dc.description.abstract While Grammatical Framework (GF) resource grammars are primarily intended as linguistic software libraries, they can also be employed to enable syntax parsing via the GF runtime system. The isiZulu resource grammar (ZRG) in conjunction with the GF runtime system constitutes the first openly available parser for isiZulu. A key feature of the implementation of the ZRG is to model aspects of morphology as equivalent to syntax. In the absence of a baseline, we evaluate the parser at the token level against a morphological analyser, before characterising its phrase level analysis in order to establish a baseline for parsing of isiZulu text. en_US
dc.format Abstract en_US
dc.language.iso en en_US
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-031-38318-2_17 en_US
dc.source Lecture Notes in Networks and Systems, 741 en_US
dc.subject Chunk parsing en_US
dc.subject Morphology en_US
dc.subject Morphosyntax en_US
dc.subject Syntax en_US
dc.title Parsing IsiZulu text using grammatical framework en_US
dc.type Article en_US
dc.description.pages 167-177 en_US
dc.description.note Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://doi.org/10.1007/978-3-031-38318-2_17 en_US
dc.description.cluster Next Generation Enterprises & Institutions en_US
dc.description.impactarea Voice Computing en_US
dc.identifier.apacitation Marais, L., & Pretorius, L. (2023). Parsing IsiZulu text using grammatical framework. <i>Lecture Notes in Networks and Systems, 741</i>, http://hdl.handle.net/10204/13373 en_ZA
dc.identifier.chicagocitation Marais, Laurette, and L Pretorius "Parsing IsiZulu text using grammatical framework." <i>Lecture Notes in Networks and Systems, 741</i> (2023) http://hdl.handle.net/10204/13373 en_ZA
dc.identifier.vancouvercitation Marais L, Pretorius L. Parsing IsiZulu text using grammatical framework. Lecture Notes in Networks and Systems, 741. 2023; http://hdl.handle.net/10204/13373. en_ZA
dc.identifier.ris TY - Article AU - Marais, Laurette AU - Pretorius, L AB - While Grammatical Framework (GF) resource grammars are primarily intended as linguistic software libraries, they can also be employed to enable syntax parsing via the GF runtime system. The isiZulu resource grammar (ZRG) in conjunction with the GF runtime system constitutes the first openly available parser for isiZulu. A key feature of the implementation of the ZRG is to model aspects of morphology as equivalent to syntax. In the absence of a baseline, we evaluate the parser at the token level against a morphological analyser, before characterising its phrase level analysis in order to establish a baseline for parsing of isiZulu text. DA - 2023-07 DB - ResearchSpace DP - CSIR J1 - Lecture Notes in Networks and Systems, 741 KW - Chunk parsing KW - Morphology KW - Morphosyntax KW - Syntax LK - https://researchspace.csir.co.za PY - 2023 SM - 2367-3370 SM - 2367-3389 T1 - Parsing IsiZulu text using grammatical framework TI - Parsing IsiZulu text using grammatical framework UR - http://hdl.handle.net/10204/13373 ER - en_ZA
dc.identifier.worklist 27253 en_US


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