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Publication search results
found 91 matches
- 2024
- Aixiao Zou, Xuanxuan Wu, Xinjie Li, Ting Zhang, Fuwei Cui, Jinan Xu:
Curriculum pre-training for stylized neural machine translation. Appl. Intell. 54(17-18): 7958-7968 (2024) - Jianfei He, Shichao Sun, Sen Peng, Jie Xu, Xiaohua Jia, Wenjie Li:
Contrastive Preference Learning for Neural Machine Translation. NAACL-HLT (Findings) 2024: 2723-2735 - Guangyu Yang, Jinghong Chen, Weizhe Lin, Bill Byrne:
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding. NAACL (Short Papers) 2024: 391-398 - 2023
- Candy Lalrempuii, Badal Soni:
Investigating Unsupervised Neural Machine Translation for Low-resource Language Pair English-Mizo via Lexically Enhanced Pre-trained Language Models. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(8): 209:1-209:18 (2023) - Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris:
Synthetic Pre-Training Tasks for Neural Machine Translation. ACL (Findings) 2023: 8080-8098 - Vivek Iyer, Arturo Oncevay, Alexandra Birch:
Exploring Enhanced Code-Switched Noising for Pretraining in Neural Machine Translation. EACL (Findings) 2023: 954-968 - Aarón Galiano Jiménez, Felipe Sánchez-Martínez, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz:
Exploiting large pre-trained models for low-resource neural machine translation. EAMT 2023: 59-68 - Vivek Iyer, Edoardo Barba, Alexandra Birch, Jeff Z. Pan, Roberto Navigli:
Code-Switching with Word Senses for Pretraining in Neural Machine Translation. EMNLP (Findings) 2023: 12889-12901 - Khang Pham, Long H. B. Nguyen, Dien Dinh:
Exploring the Role of Monolingual Data in Cross-Attention Pre-training for Neural Machine Translation. ICCCI 2023: 179-190 - Seon Hui Kim, Seung Yun, Sang-Hun Kim:
Preliminary study for Conversational Korean-Vietnam Neural Machine Translation. ICTC 2023: 1850-1854 - Phuc Hao Do, Pham Van Quan, Duc Tran Le, Truong Duy Dinh, Nang Hung Van Nguyen, Minh Tuan Pham:
Unveiling the Power of Pretrained Models for Neural Machine Translation in Vietnamese Language: A Comparative Analysis. RIVF 2023: 452-457 - Vivek Iyer, Edoardo Barba, Alexandra Birch, Jeff Z. Pan, Roberto Navigli:
Code-Switching with Word Senses for Pretraining in Neural Machine Translation. CoRR abs/2310.14050 (2023) - Guangyu Yang, Jinghong Chen, Weizhe Lin, Bill Byrne:
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding. CoRR abs/2311.08380 (2023) - 2022
- Mustafa M. Al-Sayed:
Workload Time Series Cumulative Prediction Mechanism for Cloud Resources Using Neural Machine Translation Technique. J. Grid Comput. 20(2): 16 (2022) - Qi Chen, Oi Yee Kwong, Yinqiao Li, Tong Xiao, Jingbo Zhu:
Coarse-to-Fine Output Predictions for Efficient Decoding in Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(6): 1-12 (2022) - Zhuoyuan Mao, Chenhui Chu, Sadao Kurohashi:
Linguistically Driven Multi-Task Pre-Training for Low-Resource Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(4): 68:1-68:29 (2022) - Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig:
DEEP: DEnoising Entity Pre-training for Neural Machine Translation. ACL (1) 2022: 1753-1766 - Dengji Guo, Zhengrui Ma, Min Zhang, Yang Feng:
Prediction Difference Regularization against Perturbation for Neural Machine Translation. ACL (1) 2022: 7665-7675 - Pengfei Li, Liangyou Li, Meng Zhang, Minghao Wu, Qun Liu:
Universal Conditional Masked Language Pre-training for Neural Machine Translation. ACL (1) 2022: 6379-6391 - Cheonbok Park, Hantae Kim, Ioan Calapodescu, Hyunchang Cho, Vassilina Nikoulina:
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation. ACL (Findings) 2022: 1789-1807 - Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu:
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. ACL (1) 2022: 2591-2600 - Shailashree K. Sheshadri, Deepa Gupta, Marta Ruiz Costa-jussà:
Neural Machine Translation for Kashmiri to English and Hindi using Pre-trained Embeddings. OCIT 2022: 238-243 - Kamal Kumar Gupta, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal:
Pre-training Synthetic Cross-lingual Decoder for Multilingual Samples Adaptation in E-Commerce Neural Machine Translation. EAMT 2022: 239-246 - Xinglin Lyu, Junhui Li, Shimin Tao, Hao Yang, Ying Qin, Min Zhang:
Modeling Consistency Preference via Lexical Chains for Document-level Neural Machine Translation. EMNLP 2022: 6312-6326 - Shailashree K. Sheshadri, B. Sai Bharath, Alapati Hari Naga Sree Chandana Sarvani, Potta Reddy Vijaya Bharathi Reddy, Deepa Gupta:
Unsupervised Neural Machine Translation for English to Kannada Using Pre-Trained Language Model. ICCCNT 2022: 1-5 - Zhuoyuan Mao, Chenhui Chu, Sadao Kurohashi:
Linguistically-driven Multi-task Pre-training for Low-resource Neural Machine Translation. CoRR abs/2201.08070 (2022) - Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu:
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. CoRR abs/2203.08442 (2022) - Pengfei Li, Liangyou Li, Meng Zhang, Minghao Wu, Qun Liu:
Universal Conditional Masked Language Pre-training for Neural Machine Translation. CoRR abs/2203.09210 (2022) - Cheonbok Park, Hantae Kim, Ioan Calapodescu, Hyunchang Cho, Vassilina Nikoulina:
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation. CoRR abs/2204.09259 (2022) - Mathieu Grosso, Pirashanth Ratnamogan, Alexis Mathey, William Vanhuffel, Michael Fotso Fotso:
Robust Domain Adaptation for Pre-trained Multilingual Neural Machine Translation Models. CoRR abs/2210.14979 (2022)
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