Language Corpora Annotation and Processing
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Beschreibung
This book addresses the research, analysis, and description of the methods and processes that are used in the annotation and processing of language corpora in advanced, semi-advanced, and non-advanced languages. It provides the background information and empirical data needed to understand the nature and depth of problems related to corpus annotation and text processing and shows readers how the linguistic elements found in texts are analyzed and applied to develop language technology systems and devices. As such, it offers valuable insights for researchers, educators, and students of linguistics and language technology.
This book addresses the research, analysis, and description of the methods and processes that are used in the annotation and processing of language corpora in advanced, semi-advanced, and non-advanced languages. It provides the background information and empirical data needed to understand the nature and depth of problems related to corpus annotation and text processing and shows readers how the linguistic elements found in texts are analyzed and applied to develop language technology systems and devices. As such, it offers valuable insights for researchers, educators, and students of linguistics and language technology.
Is informative and based on actual language data Shares valuable insights on the linguistic challenges involved in computation Addresses issues involved in language processing, corpus linguistics, language technology, and machine learning
Autor*in
Niladri Sekhar Dash
Themen in »Language Corpora Annotation and Processing«
Corpora Annotation Lexical Collocation Morphological Processing Sentence Parsing Language Processing
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“The present book is written to make issues of text annotation and processing useful to those people who can reap a good harvest from the areas related to text annotation and processing. … Readers will get better insight into the linguistic challenges involved in text annotation and processing. … People working in different areas of linguistics, information technology, machine learning, data processing, grammar content development, dictionary compilation, translation, corpus linguistics, and others will be directly benefited by this book.” (Selvaraj Arulmozi, Sociolinguistic Studies, Vol. 17 (1-3), 2023)
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