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Biblioteca

MARC Lista (tabellare)
2008 6th International Symposium on Chinese Spoken Language Processing
2008 6th International Symposium on Chinese Spoken Language Processing
Pubbl/distr/stampa [Place of publication not identified], : I E E E, 2008
Disciplina 495.10285
Soggetto topico Chinese language - Machine translating
Chinese language - Spoken Chinese
Chinese language - Technical Chinese
ISBN 1-5090-8072-4
1-4244-2943-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996203035203316
[Place of publication not identified], : I E E E, 2008
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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2008 6th International Symposium on Chinese Spoken Language Processing
2008 6th International Symposium on Chinese Spoken Language Processing
Pubbl/distr/stampa [Place of publication not identified], : I E E E, 2008
Disciplina 495.10285
Soggetto topico Chinese language - Machine translating
Chinese language - Spoken Chinese
Chinese language - Technical Chinese
ISBN 9781509080724
1509080724
9781424429431
1424429439
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910145403803321
[Place of publication not identified], : I E E E, 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
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2012 8th International Symposium on Chinese Spoken Language Processing
2012 8th International Symposium on Chinese Spoken Language Processing
Pubbl/distr/stampa [Place of publication not identified], : IEEE, 2012
Disciplina 495.10285
Soggetto topico Chinese language - Machine translating
Chinese language - Spoken Chinese
Chinese language - Technical Chinese
ISBN 1-4673-2507-4
1-4673-2505-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996279719603316
[Place of publication not identified], : IEEE, 2012
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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2012 8th International Symposium on Chinese Spoken Language Processing
2012 8th International Symposium on Chinese Spoken Language Processing
Pubbl/distr/stampa [Place of publication not identified], : IEEE, 2012
Disciplina 495.10285
Soggetto topico Chinese language - Machine translating
Chinese language - Spoken Chinese
Chinese language - Technical Chinese
ISBN 9781467325073
1467325074
9781467325059
1467325058
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910133593603321
[Place of publication not identified], : IEEE, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
2014 9th International Symposium on Chinese Spoken Language Processing (ISCSLP 2014) : 12-14 September 2014, Singapore / / edited by Minghui Dong, Jianhua Tao, Haizhou LI, Thomas Fang Zheng and Yanfeng Lu
2014 9th International Symposium on Chinese Spoken Language Processing (ISCSLP 2014) : 12-14 September 2014, Singapore / / edited by Minghui Dong, Jianhua Tao, Haizhou LI, Thomas Fang Zheng and Yanfeng Lu
Pubbl/distr/stampa IEEE
Disciplina 495.10285
Soggetto topico Chinese language - Machine translating
Chinese language - Spoken Chinese
Chinese language - Technical Chinese
Speech processing systems
Automatic speech recognition
ISBN 1-4799-4219-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti The 9th International Symposium on Chinese Spoken Language Processing
Chinese Spoken Language Processing
Record Nr. UNISA-996279324203316
IEEE
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
2014 9th International Symposium on Chinese Spoken Language Processing (ISCSLP 2014) : 12-14 September 2014, Singapore / / edited by Minghui Dong, Jianhua Tao, Haizhou LI, Thomas Fang Zheng and Yanfeng Lu
2014 9th International Symposium on Chinese Spoken Language Processing (ISCSLP 2014) : 12-14 September 2014, Singapore / / edited by Minghui Dong, Jianhua Tao, Haizhou LI, Thomas Fang Zheng and Yanfeng Lu
Pubbl/distr/stampa IEEE
Disciplina 495.10285
Soggetto topico Chinese language - Machine translating
Chinese language - Spoken Chinese
Chinese language - Technical Chinese
Speech processing systems
Automatic speech recognition
ISBN 9781479942190
1479942197
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti The 9th International Symposium on Chinese Spoken Language Processing
Chinese Spoken Language Processing
Record Nr. UNINA-9910135091403321
IEEE
Materiale a stampa
Lo trovi qui: Univ. Federico II
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ISCSLP : 2018 11th International Symposium on Chinese Spoken Language Processing : November 26-29, 2018, Academia Sinica, Taiwan, Taiwan / / Institute of Electrical and Electronics Engineers
ISCSLP : 2018 11th International Symposium on Chinese Spoken Language Processing : November 26-29, 2018, Academia Sinica, Taiwan, Taiwan / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Descrizione fisica 1 online resource (xxiii, 504 pages)
Disciplina 495.10285
Soggetto topico Chinese language - Machine translating
Chinese language - Spoken Chinese
ISBN 1-5386-5627-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910332519003321
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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ISCSLP : 2018 11th International Symposium on Chinese Spoken Language Processing : November 26-29, 2018, Academia Sinica, Taiwan, Taiwan / / Institute of Electrical and Electronics Engineers
ISCSLP : 2018 11th International Symposium on Chinese Spoken Language Processing : November 26-29, 2018, Academia Sinica, Taiwan, Taiwan / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Descrizione fisica 1 online resource (xxiii, 504 pages)
Disciplina 495.10285
Soggetto topico Chinese language - Machine translating
Chinese language - Spoken Chinese
ISBN 1-5386-5627-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996577953903316
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Machine translation : 18th China conference, CCMT 2022, Lhasa, China, August 6-10, 2022 : revised selected papers / / Tong Xiao and Juan Pino
Machine translation : 18th China conference, CCMT 2022, Lhasa, China, August 6-10, 2022 : revised selected papers / / Tong Xiao and Juan Pino
Autore Xiao Tong
Pubbl/distr/stampa Singapore : , : Springer, , [2022]
Descrizione fisica 1 online resource (175 pages)
Disciplina 495.10285
Collana Communications in Computer and Information Science
Soggetto topico Chinese language - Machine translating
Machine translating
ISBN 981-19-7960-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- PEACook: Post-editing Advancement Cookbook -- 1 Introduction -- 2 Related Work -- 2.1 APE Problem and APE Metrics -- 2.2 APE Baselines -- 3 PEACook Corpus -- 3.1 PEACook Corpus Details -- 4 Baseline Model Experiments -- 4.1 Pre-training AR-APE Model -- 4.2 Fine-Tuning AR-APE Model -- 4.3 Pre-training NAR-APE Model -- 4.4 Fine-Tuning NAR-APE Model -- 5 Conclusion -- References -- Hot-Start Transfer Learning Combined with Approximate Distillation for Mongolian-Chinese Neural Machine Translation -- 1 Introduction -- 2 Background -- 2.1 NMT -- 2.2 Transfer Learning -- 2.3 Pre-train Techniques -- 3 Methods -- 3.1 Word Alignment Under Hot-Start -- 3.2 Approximate Distillation -- 4 Experiment -- 4.1 Settings -- 4.2 Results and Analysis -- 4.3 Ablation Test -- 4.4 Case Analysis -- 5 Conclusion -- References -- Review-Based Curriculum Learning for Neural Machine Translation -- 1 Introduction -- 2 Related Work -- 3 Review-Based Curriculum Learning -- 3.1 Time-Based Review Method -- 3.2 Master-Based Review Method -- 3.3 General Domain Enhanced Training -- 4 Experiment -- 4.1 Data and Setup -- 4.2 Main Results -- 5 Analysis -- 5.1 Effect of Mixed Fine Tuning -- 5.2 Low-Resource Scenario -- 5.3 Data Sharding -- 5.4 Training Efficiency -- 6 Conclusion -- References -- Multi-strategy Enhanced Neural Machine Translation for Chinese Minority Languages -- 1 Introduction -- 2 Dataset -- 3 System Overview -- 3.1 Back-Translation -- 3.2 Alternated Training -- 3.3 Ensemble -- 4 Experiments -- 4.1 Mongolian Chinese -- 4.2 TibetanChinese -- 4.3 UyghurChinese -- 5 Analysis -- 5.1 The Effect of Different Back-Translation Methods -- 5.2 The Impact of Sentence Segmentation on the Translation Quality of Machine Translation -- 5.3 Analysis of BLEU Scores of MongolianChinese Machine Translation on the Development Set.
6 Conclusion -- References -- Target-Side Language Model for Reference-Free Machine Translation Evaluation -- 1 Introduction -- 2 Target-Side Language Model Metrics -- 3 Experiments -- 3.1 Datasets and Baselines -- 3.2 Results -- 3.3 Discussion -- 4 Conclusion -- References -- Life Is Short, Train It Less: Neural Machine Tibetan-Chinese Translation Based on mRASP and Dataset Enhancement -- 1 Introduction -- 2 Prerequisite -- 2.1 Neural Machine Translation with mRASP -- 2.2 Diversification Method -- 2.3 Curvature -- 3 Methodology -- 3.1 Overall Structure -- 3.2 Curvature Based Checkpoint Hijack -- 4 Experiments -- 4.1 Dataset Description and Finetune Parameters -- 4.2 Experiment Result -- 5 Conclusion -- References -- Improving the Robustness of Low-Resource Neural Machine Translation with Adversarial Examples -- 1 Introduction -- 2 Background and Related Work -- 2.1 Neural Machine Translation -- 2.2 Adversarial Example, Adversarial Attack and Adversarial Training in NLP -- 2.3 Genetic Algorithm-Based Adversarial Attack -- 2.4 Gradient-Based Adversarial Attack -- 3 Adversarial Examples Based on Reinforcement Learning -- 3.1 Reinforcement Learning -- 3.2 Environment -- 3.3 Agent -- 4 Experiment -- 4.1 Data Preprocessing -- 4.2 NMT Model -- 4.3 Evaluating Indicator -- 4.4 Adversarial Attack Results and Analysis -- 4.5 Adversarial Training Results and Analysis -- 4.6 Ablation Study -- 5 Conclusion -- References -- Dynamic Mask Curriculum Learning for Non-Autoregressive Neural Machine Translation -- 1 Introduction -- 2 Background -- 2.1 Non-autoregressive Neural Machine Translation -- 2.2 Curriculum Learning -- 3 Method -- 3.1 Model -- 3.2 Dynamic Mask Curriculum Learning -- 3.3 Train and Inference -- 4 Experiment -- 4.1 Data Preparation -- 4.2 Configuration -- 4.3 Baseline -- 4.4 Results -- 5 Analysis -- 5.1 Mask Strategy -- 5.2 Method Generality.
6 Conclusion -- References -- Dynamic Fusion Nearest Neighbor Machine Translation via Dempster-Shafer Theory -- 1 Introduction -- 2 Background -- 3 Method -- 3.1 Dempster-Shafer Theory -- 3.2 Label Smoothing -- 4 Experiment -- 4.1 Experimental Setup -- 4.2 Result and Analysis -- 4.3 Robustness -- 4.4 Case Study -- 5 Conclusion -- References -- A Multi-tasking and Multi-stage Chinese Minority Pre-trained Language Model -- 1 Introduction -- 2 Related Work -- 2.1 Pre-trained Language Model -- 2.2 Multilingual Model -- 2.3 Chinese Minority Languages -- 3 Main Methods -- 3.1 Model Architecture -- 3.2 Multi-tasking Multi-stage Pre-training -- 3.3 Model Parameter Details -- 3.4 Model Setting Details -- 4 Experiments -- 4.1 Main Results -- 4.2 Case Study -- 5 Conclusion -- References -- An Improved Multi-task Approach to Pre-trained Model Based MT Quality Estimation -- 1 Introduction -- 2 Related Works -- 3 PE Based Multi-task Learning for Sentence Level QE -- 3.1 Multi-task Learning Framework for QE -- 3.2 PE Based Multi-task Learning QE -- 3.3 Multi-model Ensemble -- 4 Experiments -- 4.1 Dataset -- 4.2 Model Training and Evaluation Metric -- 4.3 Experimental Results and Analysis -- 4.4 Ablation Study -- 5 Conclusion -- References -- Optimizing Deep Transformers for Chinese-Thai Low-Resource Translation -- 1 Introduction -- 2 Background -- 2.1 Transformer -- 2.2 Low-Resource NMT -- 2.3 Parameter Initialization for Deep Transformers -- 2.4 Deep Transformers for Low-Resource Tasks -- 3 Our Work -- 3.1 Data Processing -- 3.2 Exploration of Training Settings -- 3.3 Deep Transformers for Low-Resource Machine Translation -- 4 Related Work -- 5 Conclusion -- References -- CCMT 2022 Translation Quality Estimation Task -- 1 Introduction -- 2 Estimation System -- 3 Data -- 4 Method -- 4.1 System Training -- 4.2 System Test -- 5 Experiment -- 5.1 System Environment.
5.2 Experiment Settings -- 5.3 Experiment Result -- 6 Conclusion -- References -- Effective Data Augmentation Methods for CCMT 2022 -- 1 Introduction -- 2 System Architecture -- 3 Methods -- 3.1 Data Augmentation -- 3.2 CE Task and EC Task -- 3.3 CThai Task and ThaiC Task -- 4 Experiments -- 4.1 System Settings -- 4.2 Data Pre-processing -- 4.3 Experimental Results -- 5 Conclusion -- References -- NJUNLP's Submission for CCMT 2022 Quality Estimation Task -- 1 Introduction -- 2 Methods -- 2.1 Existing Methods -- 2.2 Proposed Methods -- 3 Experiments -- 3.1 Dataset -- 3.2 Settings -- 3.3 Single Model Results -- 3.4 Ensemble -- 3.5 Analysis -- 4 Conclusion -- References -- ISTIC's Thai-to-Chinese Neural Machine Translation System for CCMT' 2022 -- 1 Introduction -- 2 System Architecture -- 2.1 Baseline System -- 2.2 Our System -- 3 Methods -- 3.1 Back Translation -- 3.2 Add External Data -- 3.3 Model Averaging -- 3.4 Model Ensemble Strategy -- 4 Experiments -- 4.1 System Settings -- 4.2 Data Preprocessing -- 4.3 Experimental Results -- 4.4 Conclusion -- References -- Author Index.
Record Nr. UNISA-996503566103316
Xiao Tong  
Singapore : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Machine Translation : 18th China Conference, CCMT 2022, Lhasa, China, August 6–10, 2022, Revised Selected Papers / / edited by Tong Xiao, Juan Pino
Machine Translation : 18th China Conference, CCMT 2022, Lhasa, China, August 6–10, 2022, Revised Selected Papers / / edited by Tong Xiao, Juan Pino
Autore Xiao Tong
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (175 pages)
Disciplina 495.10285
Collana Communications in Computer and Information Science
Soggetto topico 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
ISBN 9789811979606
981197960X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto PEACook: Post-Editing Advancement Cookbook -- Hot-start Transfer Learning combined with Approximate Distillation for Mongolian- Chinese Neural Machine Translation -- Review-based Curriculum Learning for Neural Machine Translation -- Multi-Strategy Enhanced Neural Machine Translation for Chinese Minority Language -- Target-side Language Model for Reference-free Machine Translation Evaluation -- Life Is Short, Train It Less: Neural Machine Tibetan-Chinese Translation Based on mRASP and Dataset Enhancement -- Improving the Robustness of Low-Resource Neural Machine Translation with Adversarial Examples -- Dynamic Mask Curriculum Learning for Non-Autoregressive Neural Machine Translation -- Dynamic Fusion Nearest Neighbor Machine Translation via Dempster–Shafer Theory -- A Multi-tasking and Multi-stage Chinese Minority Pre-Trained Language Model -- An improved Multi-task Approach to Pre-trained Model Based MT Quality Estimation -- Optimizing Deep Transformers for Chinese-Thai Low-Resource Translation -- HW-TSC Submission for CCMT 2022 Translation Quality Estimation Task -- Effective Data Augmentation Methods for CCMT 2022 -- NJUNLP’s Submission for CCMT 2022 Quality Estimation Task -- ISTIC’s Thai-to-Chinese Neural Machine Translation System for CCMT’ 2022.
Record Nr. UNINA-9910634040703321
Xiao Tong  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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