eBook: Machine Translation and Transliteration involving Related, Low-resource Languages (DRM EPUB)
 
電子書格式: DRM EPUB
作者: Anoop Kunchukuttan, Pushpak Bhattacharyya 
分類: Probability & statistics ,
Automatic control engineering ,
Environmental science, engineering & technology ,
Algorithms & data structures ,
Computer science  
書城編號: 22641398


售價: $573.00

購買後立即進貨, 約需 1-4 天

 
 
製造商: CRC Press
出版日期: 2021/09/08
頁數: 200
ISBN: 9781000422412

商品簡介
Machine Translation and Transliteration involving Related, Low-resource Languages discusses an important aspect of natural language processing that has received lesser attention: translation and transliteration involving related languages in a low-resource setting. This is a very relevant real-world scenario for people living in neighbouring states/provinces/countries who speak similar languages and need to communicate with each other, but training data to build supporting MT systems is limited. The book discusses different characteristics of related languages with rich examples and draws connections between two problems: translation for related languages and transliteration. It shows how linguistic similarities can be utilized to learn MT systems for related languages with limited data. It comprehensively discusses the use of subword-level models and multilinguality to utilize these linguistic similarities. The second part of the book explores methods for machine transliteration involving related languages based on multilingual and unsupervised approaches. Through extensive experiments over a wide variety of languages, the efficacy of these methods is established. Features Novel methods for machine translation and transliteration between related languages, supported with experiments on a wide variety of languages.An overview of past literature on machine translation for related languages. A case study about machine translation for related languages between 10 major languages from India, which is one of the most linguistically diverse country in the world. The book presents important concepts and methods for machine translation involving related languages. In general, it serves as a good reference to NLP for related languages. It is intended for students, researchers and professionals interested in Machine Translation, Translation Studies, Multilingual Computing Machine and Natural Language Processing. It can be used as reference reading for courses in NLP and machine translation.Anoop Kunchukuttan is a Senior Applied Researcher at Microsoft India. His research spans various areas on multilingual and low-resource NLP. Pushpak Bhattacharyya is a Professor at the Department of Computer Science, IIT Bombay. His research areas are Natural Language Processing, Machine Learning and AI (NLP-ML-AI). Prof. Bhattacharyya has published more than 350 research papers in various areas of NLP.

Pushpak Bhattacharyya 作者作品表

eBook: Machine Translation (DRM PDF)

eBook: Machine Translation (DRM EPUB)

* 以上資料僅供參考之用, 香港書城並不保證以上資料的準確性及完整性。
* 如送貨地址在香港以外, 當書籍/產品入口時, 顧客須自行繳付入口關稅和其他入口銷售稅項。

 

 

 

  我的賬戶 |  購物車 |  出版社 |  團購優惠
加入供應商 |  廣告刊登 |  公司簡介 |  條款及細則

香港書城 版權所有 私隱政策聲明

顯示模式: 電腦版 (改為: 手機版)