- Improving Both Domain Robustness and Domain Adaptability in Machine Translation2022 | Faculty of Mathematics and Physics
- Translation Model Interpolation for Domain Adaptation in TectoMT2015 | Faculty of Mathematics and Physics
- Dictionary-based Domain Adaptation of MT Systems without Retraining2016 | Faculty of Mathematics and Physics
- Domain Adaptation of Document-Level NMT in IWSLT192019 | Faculty of Mathematics and Physics
- Domain Adaptation in Neural Machine Translation using a Qualia-Enriched FrameNetPublication without faculty affiliation
- Domain adaptation of statistical machine translation with domain-focused web crawling2015 | Faculty of Mathematics and Physics
- Domain Adaptation of Statistical Machine Translation using Web-Crawled Resources: a Case Study2012 | Faculty of Mathematics and Physics
- Simple and Effective Parameter Tuning for Domain Adaptation of Statistical Machine Translation2012 | Faculty of Mathematics and Physics
- Domain Adaptive Inference for Neural Machine TranslationPublication without faculty affiliation
- Opinion-based Relational Pivoting for Cross-domain Aspect Term ExtractionPublication without faculty affiliation
- Ixamed's submission description for WMT20 Biomedical shared task: benefits and limitations of using terminologies for domain adaptationPublication without faculty affiliation
- English-Indonesian Neural Machine Translation for Spoken Language Domains2019 | Faculty of Mathematics and Physics
- Using Language Models to Improve Rule-based Linguistic Annotation of Modern Historical Japanese CorporaPublication without faculty affiliation
- FJWU participation for the WMT20 Biomedical Translation TaskPublication without faculty affiliation
- Data-to-Text Generation with Iterative Text Editing2020 | Faculty of Mathematics and Physics
- A Multilingual BPE Embedding Space for Universal Sentiment Lexicon InductionPublication without faculty affiliation
- APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared TaskPublication without faculty affiliation