Computational linguistics and Natural Language Processing
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Abstract (arXiv)
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.
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References · 7
- 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
- 2014Sequence to Sequence Learning with Neural Networkscited by 2,986
- 2016Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translationcited by 1,475
- 2017A Survey Of Cross-lingual Word Embedding Modelscited by 143
- 2019Word Embeddings: A Surveycited by 45
- 2016Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Losscited by 30
- 2013Multilingual Distributed Representations without Word Alignmentcited by 5
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