Machine Translation: Fundamentals and Applications

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ЭлСктронная ΠΊΠ½ΠΈΠ³Π°
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МоТно Π΄ΠΎΠ±Π°Π²ΠΈΡ‚ΡŒ
ΠžΡ†Π΅Π½ΠΊΠΈ ΠΈ ΠΎΡ‚Π·Ρ‹Π²Ρ‹ Π½Π΅ ΠΏΡ€ΠΎΠ²Π΅Ρ€Π΅Π½Ρ‹. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅β€¦

Об элСктронной ΠΊΠ½ΠΈΠ³Π΅

What Is Machine Translation

The subfield of computational linguistics known as machine translation, which is often referred to by the abbreviation MT at times, explores the use of software to translate text or speech from one language to another. Machine translation can also be referred to as automatic translation.


How You Will Benefit


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


Chapter 1: Machine Translation


Chapter 2: Computational Linguistics


Chapter 3: Natural Language Processing


Chapter 4: Statistical Machine Translation


Chapter 5: Neural Machine Translation


Chapter 6: Google Neural Machine Translation


Chapter 7: Hybrid Machine Translation


Chapter 8: Rule-based Machine Translation


Chapter 9: Evaluation of Machine Translation


Chapter 10: History of Machine Translation


(II) Answering the public top questions about machine translation.


(III) Real world examples for the usage of machine translation in many fields.


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

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