Domain Adaptation for MT: A Study with Unknown and Out-of-Domain Tasks

no code implementations • WS 2019 • Hoang Cuong

Domain Adaptation

Assessing Quality Estimation Models for Sentence-Level Prediction

no code implementations • COLING 2018 • Hoang Cuong, Jia Xu

This paper provides an evaluation of a wide range of advanced sentence-level Quality Estimation models, including Support Vector Regression, Ride Regression, Neural Networks, Gaussian Processes, Bayesian Neural Networks, Deep Kernel Learning and Deep Gaussian Processes.

Gaussian Processes Machine Translation +2

ILLC-UvA Adaptation System (Scorpio) at WMT'16 IT-DOMAIN Task

no code implementations • WS 2016 • Hoang Cuong, Stella Frank, Khalil Sima{'}an

Machine Translation

Adapting to All Domains at Once: Rewarding Domain Invariance in SMT

1 code implementation • TACL 2016 • Hoang Cuong, Khalil Sima{'}an, Ivan Titov

Existing work on domain adaptation for statistical machine translation has consistently assumed access to a small sample from the test distribution (target domain) at training time.

Domain Adaptation Machine Translation +1

Latent Domain Word Alignment for Heterogeneous Corpora

no code implementations • HLT 2015 • Khalil Sima'an, Hoang Cuong

Sentence Word Alignment

Latent Domain Phrase-based Models for Adaptation

no code implementations • EMNLP 2014 • Hoang Cuong, Khalil Sima{'}an

Domain Adaptation

Latent Domain Translation Models in Mix-of-Domains Haystack

no code implementations • COLING 2014 • Hoang Cuong, Khalil Sima{'}an

Machine Translation Translation