MEMS: A Method for Evaluating Middleware Architectures. - Yan Liu 001; Ian Gorton; Len Bass; Cuong Hoang; Suhail Abanmi (QoSA, 2006)

Improving the Quality of Word Alignment by Integrating Pearson's Chi-Square Test Information. - Cuong Hoang; Cuong Anh Le 001; Son Bao Pham (IALP, 2012)

A Systematic Comparison between Various Statistical Alignment Models for Statistical English-Vietnamese Phrase-Based Translation. - Cuong Hoang; Cuong Anh Le 001; Son Bao Pham (KSE, 2012)

Exploiting Non-Parallel Corpora for Statistical Machine Translation. - Cuong Hoang; Anh-Cuong Le 001; Phuong-Thai Nguyen; Tu-Bao Ho (RIVF, 2012)

Refining lexical translation training scheme for improving the quality of statistical phrase-based translation. - Cuong Hoang; Cuong Anh Le 001; Son Bao Pham (SoICT, 2012)

Latent Domain Translation Models in Mix-of-Domains Haystack. - Cuong Hoang; Khalil Sima'an (COLING, 2014)

Latent Domain Phrase-based Models for Adaptation. - Cuong Hoang; Khalil Sima'an (EMNLP, 2014)

An Efficient Framework for Extracting Parallel Sentences from Non-Parallel Corpora. - Cuong Hoang; Anh-Cuong Le 001; Phuong-Thai Nguyen; Son Bao Pham; Tu-Bao Ho (Fundam. Informaticae, 2014)

Latent Domain Word Alignment for Heterogeneous Corpora. - Cuong Hoang; Khalil Sima'an (HLT-NAACL, 2015)

ILLC-UvA Adaptation System (Scorpio) at WMT'16 IT-DOMAIN Task. - Cuong Hoang; Stella Frank; Khalil Sima'an (WMT, 2016)

Adapting to All Domains at Once: Rewarding Domain Invariance in SMT. - Cuong Hoang; Khalil Sima'an; Ivan Titov 001 (Trans. Assoc. Comput. Linguistics, 2016)

A survey of domain adaptation for statistical machine translation. - Cuong Hoang; Khalil Sima'an (Mach. Transl., 2017)

Induction of latent domains in heterogeneous corpora: a case study of word alignment. - Cuong Hoang; Khalil Sima'an (Mach. Transl., 2017)

Machine Translation Verbosity Control for Automatic Dubbing. - Surafel Melaku Lakew; Marcello Federico; Yue Wang 034; Cuong Hoang; Yogesh Virkar; Roberto Barra-Chicote; Robert Enyedi (ICASSP, 2021)

Towards Modeling the Style of Translators in Neural Machine Translation. - Yue Wang 034; Cuong Hoang; Marcello Federico (NAACL-HLT, 2021)

Sockeye 3: Fast Neural Machine Translation with PyTorch. - Felix Hieber; Michael J. Denkowski; Tobias Domhan; Barbara Darques Barros; Celina Dong Ye; Xing Niu 001; Cuong Hoang; Ke Tran; Benjamin Hsu; Maria Nadejde; Surafel Melaku Lakew; Prashant Mathur; et al. (CoRR, 2022)

Improving Robustness of Retrieval Augmented Translation via Shuffling of Suggestions. - Cuong Hoang; Devendra Sachan; Prashant Mathur; Brian Thompson 001; Marcello Federico (CoRR, 2022)

Improving Retrieval Augmented Neural Machine Translation by Controlling Source and Fuzzy-Match Interactions. - Cuong Hoang; Devendra Sachan; Prashant Mathur; Brian Thompson 001; Marcello Federico (EACL (Findings), 2023)