
Machine Translation
15th China Conference, CCMT 2019, Nanchang, China, September 27-29, 2019, Revised Selected Papers
Springer (Publisher)
Published on 23. November 2019
Book
Paperback/Softback
XII, 129 pages
978-981-15-1720-4 (ISBN)
Description
This book constitutes the refereed proceedings of the 15th China Conference on Machine Translation, CCMT 2019, held in Nanchang, China, in September 2019.
The 10 full papers presented in this volume were carefully reviewed and selected from 21 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.
The 10 full papers presented in this volume were carefully reviewed and selected from 21 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.
More details
Series
Edition
2019 ed.
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
24 farbige Abbildungen, 35 s/w Abbildungen
XII, 129 p. 59 illus., 24 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 9 mm
Weight
230 gr
ISBN-13
978-981-15-1720-4 (9789811517204)
DOI
10.1007/978-981-15-1721-1
Schweitzer Classification
Other editions
Additional editions

Shujian Huang | Kevin Knight
Machine Translation
15th China Conference, CCMT 2019, Nanchang, China, September 27-29, 2019, Revised Selected Papers
E-Book
11/2019
Springer
€53.49
Available for download
Content
Improving Bilingual Lexicon Induction on Distant Language Pairs.- Improving Quality Estimation of Machine Translation by UsingPre-trained Language Representation.- Incorporating Syntactic Knowledge in Neural Quality Estimation for Machine Translation.- Independent Fusion of Words and Image for Multimodal Machine Translation.- Neural Machine Translation with Attention Based on A New Syntactic Branch Distance.- Phrase-based Chinese-Vietnamese pseudo-parallel sentence pair generation.- Quality Estimation with Transformer and RNN Architectures.- NICT's Machine Translation Systems for CCMT-2019 Translation Task.- NiuTrans Submission for CCMT19 Quality Estimation Task.- Tencent Minority-Mandarin Translation System.- CCMT 2019 Machine Translation Evaluation Report.