關於本電子書
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.
