Building and Using Comparable Corpora for Multilingual Natural Language Processing

Beschreibung

This book provides a comprehensive overview of methods to build comparable corpora and of their applications, including machine translation, cross-lingual transfer, and various kinds of multilingual natural language processing. The authors begin with a brief history on the topic followed by a comparison to parallel resources and an explanation of why comparable corpora have become more widely used. In particular, they provide the basis for the multilingual capabilities of pre-trained models, such as BERT or GPT. The book then focuses on building comparable corpora, aligning their sentences to create a database of suitable translations, and using these sentence translations to produce dictionaries and term banks. Then, it is explained how comparable corpora can be used to build machine translation engines and to develop a wide variety of multilingual applications.

Explains the background and basic principles of comparable and parallel corpora for Natural Language Processing Provides an in-depth explanation of how to build comparable corpora for Machine Translation engines Discusses the other applications of comparable corpora including text annotation

Autor*in

Serge Sharoff

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Multilingual Natural Language Processing Natural Language Processing Machine Translation Comparable Corpora Cross-lingual Models Parallel Corpora Vector Space Model

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