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Morphosyntactic Variation in Medieval Celtic Languages : Corpus-Based Approaches /
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 m...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin ; Boston :
De Gruyter Mouton,
[2020]
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| Colección: | Trends in Linguistics. Studies and Monographs [TiLSM] ;
346 |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | 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. |
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| Descripción Física: | 1 online resource (XVIII, 378 pages) |
| ISBN: | 3110680742 9783110680744 |
| Acceso: | Open Access |