Machine Translation [electronic resource] : 19th China Conference, CCMT 2023, Jinan, China, October 19-21, 2023, Proceedings / edited by Yang Feng, Chong Feng.
Material type:
TextLanguage: English Series: Publication details: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.Edition: 1st ed. 2023Description: XIV, 130 p. 69 illus., 40 illus. in color. online resourceISBN: - 9789819978946
- Natural language processing (Computer science)
- Database management
- Computer science
- Coding theory
- Information theory
- Social sciences -- Data processing
- Natural Language Processing (NLP)
- Database Management
- Computer Science Logic and Foundations of Programming
- Coding and Information Theory
- Computer Application in Social and Behavioral Sciences
- 006.35 23
| Item type | Current library | Call number | Materials specified | Status | Date due | Barcode | Item holds | |
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E-Books
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National Library of India Online Resource | 006.35 (Browse shelf(Opens below)) | Available | EBK000046953ENG |
Transn's submission for CCMT 2023 Quality Estimation Task -- HW-TSC's Neural Machine Translation System for CCMT 2023 -- CCMT2023 Machine Translation Evaluation Technical Report -- Korean-Chinese Machine Translation Method Based on Independent Language Features -- NJUNLP's Submission for CCMT 2023 Quality Estimation Task -- HIT-MI&T Lab's Submission to CCMT 2023 Automatic Post-Editing Task -- A k-Nearest Neighbor Approach for Domain-Specific Translation Quality Estimation -- WSA: A Unified Framework for Word and Sentence Autocompletion in Interactive Machine Translation -- ISTIC's Neural Machine Translation Systems for CCMT'2023 -- A Novel Dataset and Benchmark Analysis on Document Image Translation -- Joint Contrastive Learning for Factual Consistency Evaluation of Cross-Lingual Abstract Summarization.
This book constitutes the refereed proceedings of the 19th China Conference on Machine Translation, CCMT 2023, held in Jinan, China, during October 19-21, 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.
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