Using Comparable Corpora for Under-Resourced Areas of Machine Translation

• Corporate Author: SpringerLink (Online service)
• Other Authors: Skadiņa, Inguna (Editor, http://id.loc.gov/vocabulary/relators/edt), Gaizauskas, Robert (Editor, http://id.loc.gov/vocabulary/relators/edt), Babych, Bogdan (Editor, http://id.loc.gov/vocabulary/relators/edt), Ljubešić, Nikola (Editor, http://id.loc.gov/vocabulary/relators/edt), Tufiş, Dan (Editor, http://id.loc.gov/vocabulary/relators/edt), Vasiļjevs, Andrejs (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Theory and Applications of Natural Language Processing,
• Subjects: Natural language processing (Computer science).; Computational linguistics.; Data mining.; Natural Language Processing (NLP).; Computational Linguistics.; Data Mining and Knowledge Discovery.

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...