Finite-State Computational Morphology

di Irina Lobzhanidze (Autore)

Springer, 2022

This handbook provides a comprehensive account of current research on the finite-state morphology of Georgian and enables the reader to enter quickly into Georgian morphosyntax and its computational processing. It combines linguistic analysis with application of finite-state technology to processing of the language. The book opens with the author’s synoptic overview of the main lines of research, covers the properties of the word and its components, then moves up to the description of Georgian morphosyntax and the morphological analyzer and generator of Georgian. The book comprises three chapters and accompanying appendices. The aim of the first chapter is to describe the morphosyntactic structure of Georgian, focusing on differences between Old and Modern Georgian. The second chapter focuses on the application of finite-state technology to the processing of Georgian and on the compilation of a tokenizer, a morphological analyzer and a generator for Georgian. The third chapter discusses the testing and evaluation of the analyzer’s output and the compilation of the Georgian Language Corpus (GLC), which is now accessible online and freely available to the research community. Since the development of the analyzer, the field of computational linguistics has advanced in several ways, but the majority of new approaches to language processing has not been tested on Georgian. So, the organization of the book makes it easier to handle new developments from both a theoretical and practical viewpoint. The book includes a detailed index and references as well as the full list of morphosyntactic tags. It will be of interest and practical use to a wide range of linguists and advanced students interested in Georgian morphosyntax generally as well as to researchers working in the field of computational linguistics and focusing on how languages with complicated morphosyntax can be handled through finite-state approaches.

• Autore: Irina Lobzhanidze
• Anno edizione: 2022
• Editore: Springer
• Formato: EPUB3 con Adobe DRM
• Lingua: Inglese
• Compatibilità: Tutti i dispositivi (eccetto Kindle)
• Layout: Reflowable
• EAN: 9783030902483