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Author CCMT (Conference) (19th : 2023 : Jinan Shi, China)

Title Machine translation 19th China Conference, CCMT 2023, Jinan, China, October 19-21, 2023, Proceedings / Yang Feng, Chong Feng, editors
Published Singapore : Springer, 2023

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Description 1 online resource (143 p.)
Series Communications in Computer and Information Science ; 1922
Communications in computer and information science ; v. 1922.
Contents Intro -- Preface -- Organization -- Contents -- Transn's Submission for CCMT 2023 Quality Estimation Task -- 1 Introduction -- 2 Related Work -- 3 Feature-Enhanced Estimator for Sentence-Level QE -- 3.1 Model Architecture -- 3.2 Pretraining Corpus Generation -- 3.3 Model Ensemble -- 4 Experiments -- 4.1 Datasets -- 4.2 Training and Evaluation -- 4.3 Results and Analysis -- 4.4 Model Ensemble -- 5 Conclusion -- References -- HW-TSC's Neural Machine Translation System for CCMT 2023 -- 1 Introduction -- 2 Dataset -- 2.1 Data Size -- 2.2 Data Pre-processing -- 3 System Overview
3.1 Bilingual System -- 3.2 Low-Resource System -- 3.3 Multilingual System -- 3.4 Zero-Referencing System -- 4 Method -- 4.1 Regularized Dropout -- 4.2 Bidirectional Training -- 4.3 Data Diversification -- 4.4 Forward Translation -- 4.5 Back-Translation -- 4.6 Alternated Training -- 4.7 Curriculum Learning -- 4.8 Transductive Ensemble Learning -- 5 Experiments -- 5.1 Bilingual System Evaluation Results -- 5.2 Low-Resource System Evaluation Results -- 5.3 Multilingual System Evaluation Results -- 5.4 Zero-Referencing System Evaluation Results -- 6 Conclusion -- References
CCMT2023 Tibetan-Chinese Machine Translation Evaluation Technical Report -- 1 Introduction -- 2 Data Processing -- 2.1 Data -- 2.2 Data Preprocessing -- 3 Model -- 3.1 Model Select -- 3.2 Model Ensemble -- 3.3 Iterative Fine-Tuning -- 4 Experiment -- 4.1 Experimental Environment -- 4.2 Experimental Setup -- 5 Results and Analysis -- 6 Summary -- References -- Korean-Chinese Machine Translation Method Based on Independent Language Features -- 1 Introduction -- 2 Related Work -- 2.1 Korean-to-Chinese Machine Translation -- 2.2 Multilingual Unsupervised and Supervised Embeddings -- 3 Method
3.1 Independent Language Feature Extraction Model -- 3.2 Translation Model -- 4 Experiment -- 4.1 Datasets -- 4.2 Settings -- 4.3 Main Results -- 5 Analysis -- 5.1 Ablation Experiments -- 5.2 Case Study -- 6 Conclusion -- References -- NJUNLP's Submission for CCMT 2023 Quality Estimation Task -- 1 Introduction -- 2 Methods -- 2.1 Unsupervised Methods -- 2.2 Supervised Methods -- 3 Experiments -- 3.1 Dataset -- 3.2 Settings -- 3.3 Single Model Results -- 3.4 Ensemble -- 4 Conclusion -- References -- HIT-MI&T Lab's Submission to CCMT 2023 Automatic Post-editing Task -- 1 Introduction
2 Architecture -- 3 Data Augmentation -- 3.1 Synthetic Data Generation -- 3.2 ChatGPT-Based Data Augmentation -- 4 Experiments -- 4.1 Set-Up -- 4.2 Results of Different Architectures -- 4.3 Results of Data Augmentation -- 4.4 Results of Multi-model Ensemble -- 5 Conclusion -- References -- A k-Nearest Neighbor Approach for Domain-Specific Translation Quality Estimation -- 1 Introduction -- 2 Proposed Method -- 2.1 Overall Architecture -- 2.2 XLM-R Encoder -- 2.3 Classifier -- 2.4 k-Nearest Neighbor -- 2.5 Loss Function -- 3 Experiments -- 3.1 Datasets -- 3.2 Settings -- 3.3 Results and Analysis
Summary This book constitutes the refereed proceedings of the 19th China Conference on Machine Translation, CCMT 2023, held in Jinan, China, during October 1921, 2023. The 8 full papers and 3 short papers included in this book were carefully reviewed and selected from 71 submissions. They focus on machine translation; improvement of translation models and systems; translation quality estimation; document-level machine translation; low-resource machine translation
Notes 3.4 Results After Integrating Domain Transfer Method
Includes author index
Online resource; title from PDF title page (SpringerLink, viewed November 13, 2023)
Subject Machine translating -- Congresses
Chinese language -- Machine translating -- Congresses
Chinese language -- Machine translating.
Machine translating.
Genre/Form proceedings (reports)
Conference papers and proceedings.
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Feng, Yang, 1987-
Feng, Chong
ISBN 9789819978946
9819978947
Other Titles CCMT 2023