A GF miniature resource grammar for Tswana: modelling the proper verb.
The Grammatical Framework (GF) not only offers state of the art grammar-based machine translation support between an increasing number of languages through its so-called Resource Grammar Library, but is also fast becoming a de facto framework for developing multilingual controlled natural languages...
| Publicado en: | Language Resources & Evaluation Vol. 51; no. 1; pp. 159 - 190 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Springer Nature
Mar2017
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=121992434&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 121992434 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Mar2017 vid: 51 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 121992434 10.1007/s10579-016-9341-z ppf: 159 ppct: 31 formats: fmt: @attributes: type: P size: 1.4MB tig: atl: A GF miniature resource grammar for Tswana: modelling the proper verb. aug: au: Pretorius, Laurette Marais, Laurette Berg, Ansu affil: School of Interdisciplinary Research and Graduate Studies , University of South Africa , Pretoria South Africa Human Language Technology, Meraka Institute , CSIR , Pretoria South Africa School of Languages , North-West University , Potchefstroom South Africa su: Grammaticality (Linguistics) Natural languages Machine translating Multilingualism Ontologies (Information retrieval) sug: subj: Grammaticality (Linguistics) Natural languages Machine translating Multilingualism Ontologies (Information retrieval) keyword: 68T50: Natural language processing Computational morpho-syntax Grammatical Framework (GF) Multilingual controlled natural language (CNL) Natural language processing Tswana verb structure ab: The Grammatical Framework (GF) not only offers state of the art grammar-based machine translation support between an increasing number of languages through its so-called Resource Grammar Library, but is also fast becoming a de facto framework for developing multilingual controlled natural languages (CNLs). For a natural language to share maximally in the opportunities that GF-based multilingual CNL support presents, it has to have a GF resource grammar. Tswana, an agglutinating Bantu language, spoken in Southern Africa as one of the eleven official languages of South Africa, does not yet have such a grammar. This article reports on the development of a so-called miniature resource grammar, a first step towards a full resource grammar for Tswana. The focus is on the modelling of the Tswana proper verb as it occurs in simple sentences. The (proper) verb is the morphologically most complex word category in Tswana, and therefore constitutes a notable contribution towards the development of a GF resource grammar for Tswana. The computational model is discussed in some detail, implemented and tested on a systematically constructed treebank. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2017. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2017 holdings: @attributes: islocal: N |
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