Computational linguistics and Natural Language Processing

TL;DR

This chapter introduces computational linguistics methods and tools for translation, discussing key approaches, challenges, and applications in linguistic data analysis and translation practice.

Contribution

It provides an overview of representative computational linguistics methods applied to translation, highlighting main approaches and methodological issues.

Findings

Describes key computational models and tools for linguistic data analysis.

Illustrates typical applications in translation practice.

Discusses main methodological challenges in the field.

Abstract

This chapter provides an introduction to computational linguistics methods, with focus on their applications to the practice and study of translation. It covers computational models, methods and tools for collection, storage, indexing and analysis of linguistic data in the context of translation, and discusses the main methodological issues and challenges in this field. While an exhaustive review of existing computational linguistics methods and tools is beyond the scope of this chapter, we describe the most representative approaches, and illustrate them with descriptions of typical applications.