On Practical Realisation of Autosegmental Representations in Lexical Transducers of Tonal Bantu Languages

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Sammanfattning

A lexical transducer is a language technology resource that is typically used to predict the orthographic word forms and to model the relation between the lexical and the surface word forms of a morphologically complex language. This paper motivates the construction of tone-enhanced lexical transducers for tonal languages and gives two supporting arguments for the feasibility of finite-state compilation of autosegmental derivations. According to the Common Timeline Argument, adding a common timeline to autosegmental representations is crucial for their computational processing. According to the Compilation Argument, the compilation of autosegmental grammars requires combining code-theoretic and model-theoretic research lines.
Originalspråkengelska
Titel på värdpublikationProceedings of the Language Technologies for All (LT4All)
RedaktörerGilles Adda, Khalid Choukri, Irmgarda Kasinskaite-Buddeberg, Joseph Mariani, Hélène Mazo, Sakti Sakriani
Antal sidor4
UtgivningsortParis
FörlagEuropean Language Resources Association (ELRA)
Utgivningsdatum2020
Sidor346-349
ISBN (tryckt)979-10-95546-33-7
StatusPublicerad - 2020
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangLT4All – International Conference on Language Technologies for All 2019: Enabling Linguistic Diversity and Multilingualism Worldwide - UNESCO Headquarters, 7, place de Fontenoy, 75007, Paris, France , Paris, Frankrike
Varaktighet: 4 dec. 20196 dec. 2019
https://en.unesco.org/events/international-conference-language-technologies-all-lt4all-enabling-linguistic-diversity-and

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