000 | 03885nam a22006015i 4500 | ||
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001 | 978-981-19-7960-6 | ||
003 | DE-He213 | ||
005 | 20240423125248.0 | ||
007 | cr nn 008mamaa | ||
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_a9789811979606 _9978-981-19-7960-6 |
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024 | 7 |
_a10.1007/978-981-19-7960-6 _2doi |
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_aUYQL _2bicssc |
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_a006.35 _223 |
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_aMachine Translation _h[electronic resource] : _b18th China Conference, CCMT 2022, Lhasa, China, August 6–10, 2022, Revised Selected Papers / _cedited by Tong Xiao, Juan Pino. |
250 | _a1st ed. 2022. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2022. |
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300 |
_aXIV, 161 p. 60 illus., 49 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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490 | 1 |
_aCommunications in Computer and Information Science, _x1865-0937 ; _v1671 |
|
505 | 0 | _aPEACook: 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. | |
520 | _aThis book constitutes the refereed proceedings of the 18th China Conference on Machine Translation, CCMT 2022, held in Lhasa, China, during August 6–10, 2022. The 16 full papers were included in this book were carefully reviewed and selected from 73 submissions. | ||
650 | 0 | _aNatural language processing (Computer science). | |
650 | 0 | _aDatabase management. | |
650 | 0 | _aComputer science. | |
650 | 0 | _aCoding theory. | |
650 | 0 | _aInformation theory. | |
650 | 0 |
_aSocial sciences _xData processing. |
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650 | 1 | 4 | _aNatural Language Processing (NLP). |
650 | 2 | 4 | _aDatabase Management. |
650 | 2 | 4 | _aComputer Science Logic and Foundations of Programming. |
650 | 2 | 4 | _aCoding and Information Theory. |
650 | 2 | 4 | _aComputer Application in Social and Behavioral Sciences. |
700 | 1 |
_aXiao, Tong. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aPino, Juan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811979590 |
776 | 0 | 8 |
_iPrinted edition: _z9789811979613 |
830 | 0 |
_aCommunications in Computer and Information Science, _x1865-0937 ; _v1671 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-19-7960-6 |
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