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Machine Translation -

Machine Translation

12th China Workshop, CWMT 2016, Urumqi, China, August 25–26, 2016, Revised Selected Papers

Muyun Yang, Shujie Liu (Herausgeber)

Buch | Softcover
125 Seiten
2017 | 1st ed. 2016
Springer Verlag, Singapore
978-981-10-3634-7 (ISBN)
CHF 74,85 inkl. MwSt
This book constitutes the refereed proceedings of the 12th China Workshop on Machine Translation, CWMT 2016, held in Urumqi, China, in August 2016.
The 10 English papers presented in this volume were carefully reviewed and selected from 76 submissions. They deal with statistical machine translation, hybrid machine translation, machine translation evaluation, post editing, alignment, and inducing bilingual knowledge from corpora. 

MinKSR: A Novel MT Evaluation Metric for Coordinating Human Translators with the CAT-oriented Input Method.- Pivot-based Semantic Splicing for Neural Machine Translation.- Re-Ranking for Bilingual Lexicon Extraction with Bi-directional Linear Transformation from Comparable Corpora.- Learning Bilingual Sentence Representations for Quality Estimation of Machine Translation.- Research on Domain Adaptation for SMT Based on Specific Doman Knowledge.- Automatic Construction of Domain Terminology Knowledge Base for HowNet Based on the Headword.-Building the Vietnamese Phrase Treebank by Improved Probabilistic Context-Free Grammars.- Classifying Commas for Patent Machine Translation.- BLEUS-syn: Cilin-based Smoothed BLEU.-Research on the Calculation Method of Semantic Similarity Based on Concept Hierarchy.

Erscheinungsdatum
Reihe/Serie Communications in Computer and Information Science ; 668
Zusatzinfo 37 Illustrations, black and white; XI, 125 p. 37 illus.
Verlagsort Singapore
Sprache englisch
Maße 155 x 235 mm
Themenwelt Geisteswissenschaften Sprach- / Literaturwissenschaft Sprachwissenschaft
Informatik Software Entwicklung User Interfaces (HCI)
Informatik Theorie / Studium Algorithmen
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 981-10-3634-9 / 9811036349
ISBN-13 978-981-10-3634-7 / 9789811036347
Zustand Neuware
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