Home : Book details

Using Comparable Corpora for Under-Resourced Areas of Machine Translation free ebook download

Category:
Computer Science

Views: 83
Likes: 266

Catalogue

Author(s):	Inguna Skadina

Date:	2017	Format:	PDF, EPUB	Language:	English	ISBN/ASIN:	3319990039
Pages:	1	OCR:		Quality:		ISBN13:
Uploader:	topron	Upload Date:	2/6/2019 7:57:31 PM

To download click on link in the Links Table below

Description: Click to see full description

This book provides an overview of how comparable corpora can be used to overcome the lack of parallel resources when building machine translation systems for under-resourced languages and domains. It presents a wealth of methods and open tools for building comparable corpora from the Web, evaluating comparability and extracting parallel data that can be used for the machine translation task. It is divided into several sections, each covering a specific task such as building, processing, and using comparable corpora, focusing particularly on under-resourced language pairs and domains. The book is intended for anyone interested in data-driven machine translation for under-resourced languages and domains, especially for developers of machine translation systems, computational linguists and language workers. It offers a valuable resource for specialists and students in natural language processing, machine translation, corpus linguistics and computer-assisted translation, and promotes the broader use of comparable corpora in natural language processing and computational linguistics.

Links Table

	Title	Link	Password	Size (MB)	Thank to	Inform Admin
2408124	Book	http://k2s.cc/file/074f63325fff2/3319990...		29.00	topron

Tags: Areas Comparable Corpora Machine Translation Under-Resourced Using

Title	Link	Password	Size	Reason

Those who downloaded this book also downloaded the following books:
Comments

New comment:

Using Comparable Corpora for Under-Resourced Areas of Machine Translation free ebook download

Category: Computer Science

Description: Click to see full description

Category:
Computer Science