Machine Translation: 14th China Workshop, CWMT 2018, Wuyishan, China, October 25-26, 2018, Proceedings
This book constitutes the refereed proceedings of the 14th China Workshop on Machine Translation, CWMT 2018, held in Wuyishan, China, in October 2018.
The 9 papers presented in this volume were carefully reviewed and selected from 17 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.
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Machine Translation: 14th China Workshop, CWMT 2018, Wuyishan, China, October 25-26, 2018, Proceedings
This book constitutes the refereed proceedings of the 14th China Workshop on Machine Translation, CWMT 2018, held in Wuyishan, China, in October 2018.
The 9 papers presented in this volume were carefully reviewed and selected from 17 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.
54.99 In Stock
Machine Translation: 14th China Workshop, CWMT 2018, Wuyishan, China, October 25-26, 2018, Proceedings

Machine Translation: 14th China Workshop, CWMT 2018, Wuyishan, China, October 25-26, 2018, Proceedings

Machine Translation: 14th China Workshop, CWMT 2018, Wuyishan, China, October 25-26, 2018, Proceedings

Machine Translation: 14th China Workshop, CWMT 2018, Wuyishan, China, October 25-26, 2018, Proceedings

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Overview

This book constitutes the refereed proceedings of the 14th China Workshop on Machine Translation, CWMT 2018, held in Wuyishan, China, in October 2018.
The 9 papers presented in this volume were carefully reviewed and selected from 17 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.

Product Details

ISBN-13: 9789811330827
Publisher: Springer Nature Singapore
Publication date: 01/08/2019
Series: Communications in Computer and Information Science , #954
Edition description: 1st ed. 2019
Pages: 125
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

A grammatical analysis on machine translation errors. - RST discourse parsing with tree-structured neural networks. - Exploiting knowledge graph in NMT. - improving performance of NMT using semantic concept of WordNet synset. - Cross-lingual semantic textual similarity modeling using neural networks. - The impact of named entity translation for neural machine translation. - Pivot machine translation using Chinese as pivot. - Neural name translation improves neural machine translation.
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