Using Comparable Corpora for Under-Resourced Areas of Machine Translation

Nonfiction, Reference & Language, Language Arts, Linguistics, Computers, Advanced Computing, General Computing
Cover of the book Using Comparable Corpora for Under-Resourced Areas of Machine Translation by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319990040
Publisher: Springer International Publishing Publication: February 6, 2019
Imprint: Springer Language: English
Author:
ISBN: 9783319990040
Publisher: Springer International Publishing
Publication: February 6, 2019
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book The Souss‐Massa River Basin, Morocco by
Cover of the book Decoding the Antibody Repertoire by
Cover of the book Actuarial Sciences and Quantitative Finance by
Cover of the book Grasp Interaction with Tablets by
Cover of the book Pharmacological Treatment of Chronic Stable Angina Pectoris by
Cover of the book Food Microbiology Laboratory for the Food Science Student by
Cover of the book Comparative Philosophy and J.L. Shaw by
Cover of the book Flowering Plants. Eudicots by
Cover of the book Computational Science and Its Applications – ICCSA 2018 by
Cover of the book Adapting to Climate Change by
Cover of the book HCI in Business, Government and Organizations. Supporting Business by
Cover of the book Governance in South, Southeast, and East Asia by
Cover of the book Anthropology-Based Computing by
Cover of the book Chemotherapy in Neonates and Infants by
Cover of the book RNA Metabolism and Gene Expression in Archaea by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy