Huang / Knight Machine Translation

15th China Conference, CCMT 2019, Nanchang, China, September 27–29, 2019, Revised Selected Papers
Erscheinungsjahr 2019
ISBN: 978-981-15-1721-1
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 1104, 129 Seiten, eBook

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Huang, Shujian

Knight, Kevin

Inhaltsverzeichnis

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.