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    Morphosyntactic Variation in Medieval Celtic Languages. Corpus-Based Approaches


    Lash, Elliott, Qiu, Fangzhe and Stifter, David (2020) Morphosyntactic Variation in Medieval Celtic Languages. Corpus-Based Approaches. De Gruyter Mouton. ISBN 978-3-11-068074-4

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    Official URL: https://doi.org/10.1515/9783110680744

    Abstract

    This book showcases the state of the art in the corpus-based linguistics of medieval Celtic languages. Its chapters detail theoretical advances in analysing variation/change in the Celtic languages and computational tools necessary to process/analyse the data. Many contributions situate the Celtic material in the broader field of corpus-based diachronic linguistics. The application of computational methods to Celtic languages is in its infancy and this book is a first in medieval Celtic Studies, which has mainly concentrated on philological endeavours such as editorial and literary work. The Celtic languages represent a new frontier in the development of NLP tools because they pose special challenges, like complicated inflectional morphology with non-straightforward mappings between lemmata and attested forms, irregular orthography, and consonant mutations. With so much data available in non-electronic form and ongoing efforts to convert these data to computer-readable format, there is much room for the developing/testing of new tools. This books provides an overview of this process at a crucial time in the development of the field and aims to the data accessible to computational linguists with an interest in diachronic change.
    Item Type: Book
    Keywords: Language Change; Language Variation; Celtic Linguistics; Corpus Linguistics;
    Academic Unit: Faculty of Arts,Celtic Studies and Philosophy > School of Celtic Studies > Early Irish (Sean Ghaeilge)
    Item ID: 13577
    Depositing User: Prof. David Stifter
    Date Deposited: 16 Nov 2020 11:57
    Publisher: De Gruyter Mouton
    Refereed: Yes
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/13577
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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