Language Identification: Fundamentals and Applications

The difficulty of determining which natural language a piece of information is written in is referred to as language identification or language guessing in the field of natural language processing. The computational approaches to this issue regard it as a particular instance of text categorization, which can then be solved using a variety of statistical techniques.

How You Will Benefit

(I) Insights, and validations about the following topics:

Chapter 1: Language Identification

Chapter 2: Computational Linguistics

Chapter 3: Natural Language Processing

Chapter 4: Word-sense Disambiguation

Chapter 5: Cognitive Linguistics

Chapter 6: Part-of-speech Tagging

Chapter 7: N-gram

Chapter 8: Language Model

Chapter 9: Native-language Identification

Chapter 10: Word2vec

(II) Answering the public top questions about language identification.

(III) Real world examples for the usage of language identification in many fields.

(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of language identification' technologies.

Who This Book Is For

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of language identification.