Machine Translation

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.

Inhalt
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.