Research Track accepted paper list
Oral Papers
R4Exploring Domain-shared and Domain-specific Parameters in Multi-Domain Neural Machine Translation
Zhibo Man, YUJIE ZHANG, Yuanmeng Chen, Yufeng Chen and Jinan Xu
R11
Pivot Translation for Zero-resource Language Pairs Based on a Multilingual Pretrained Model
Kenji Imamura, Masao Utiyama and Eiichiro Sumita
R12
Targeted Data Augmentation Improves Context-aware Neural Machine Translation
Harritxu Gete, Thierry Etchegoyhen and Gorka Labaka
R14
Perturbation-based QE: An Explainable, Unsupervised Word-level Quality Estimation Method for Blackbox Machine Translation
Tu Anh Dinh and Jan Niehues
R15
A Study on the Effectiveness of Large Language Models for Translation with Markup
Raj Dabre, Bianka Buschbeck, Miriam Exel and Hideki Tanaka
R17
Leveraging Highly Accurate Word Alignment for Low Resource Translation by Pretrained Multilingual Model
Jingyi Zhu, Minato Kondo, Takuya Tamura, Takehito Utsuro and Masaaki Nagata
R20
Learning from Past Mistakes: Quality Estimation from Monolingual Corpora and Machine Translation Learning Stages
Thierry Etchegoyhen and David Ponce
R22
Benchmarking Dialectal Arabic-Turkish Machine Translation
Hasan Alkheder, Houda Bouamor, Nizar Habash and Ahmet Zengin
R23
Translation Memory based NMT by Cross-lingual Retrieval of Similar Translations and Reranking
Takuya Tamura, Xiaotian Wang, Takehito Utsuro and Masaaki Nagata
R26
Enhancing Translation of Myanmar Sign Language by Transfer Learning and Self-training
Hlaing Myat Nwe, Kiyoaki Shirai, Natthawut Kertkeidkachorn, Thanaruk Theeramunkong, Ye Kyaw Thu, Thepchai Supnithi and Natsuda Kaothanthong
R28
Learning from Mistakes: Towards Robust Neural Machine Translation for Disfluent L2 Sentences
Shuyue Stella Li and Philipp Koehn
R34
A Context-Aware Annotation Framework for Customer Support Live Chat Machine Translation
Miguel Menezes, M. Amin Farajian, Helena Moniz and João Varelas Graça
R43
Improving Embedding Transfer for Low-Resource Machine Translation
Van Hien Tran, Chenchen Ding, Hideki Tanaka and Masao Utiyama
R44
Context-aware Neural Machine Translation for English-Japanese Business Scene Dialogues
Sumire Honda, Patrick Fernandes and Chrysoula Zerva
R48
The Role of Compounds in Human vs. Machine Translation Quality
Kristyna Neumannova and Ondřej Bojar
R50
Boosting Unsupervised Machine Translation with Pseudo-Parallel Data
Ivana Kvapilíková and Ondřej Bojar
R51
Towards Zero-Shot Multilingual Poetry Translation
Wai Lei Song, Haoyun Xu, Derek F. Wong, Runzhe Zhan, Lidia S. Chao and Shanshan Wang
R52
A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation
Ramakrishna Appicharla, Baban Gain, Santanu Pal and Asif Ekbal
R53
Semi-supervised learning for Quality Estimation of Machine Translation
Tarun Bhatia, Martin Kraemer, Eduardo Vellasques and Eleftherios Avramidis
Poster Papers
R7
Data Augmentation with Diversified Rephrasing for Low-Resource Neural Machine Translation
Yuan Gao, Feng Hou, Huia Jahnke and Ruili Wang
R18
Multiloop Incremental Bootstrapping for Low-Resource Machine Translation
Wuying Liu, Wei Li and Lin Wang
R19
A Dual Reinforcement Method for Data Augmentation by Middle Sentences for Machine Translation
WENYI TANG and Yves Lepage
R27
Post-editing of Technical Terms based on Bilingual Example Sentences
Elsie K. Y. Chan, John Lee, Chester Cheng and Benjamin Tsou
R32
In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models
Suzanna Sia and Kevin Duh
R36
Negative Lexical Constraints in Neural Machine Translation
Josef Jon, Dusan Varis, Michal Novák, João Paulo Aires and Ondřej Bojar
R37
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables
Ali Araabi, Vlad Niculae and Christof Monz
R38
Character-level NMT and language similarity
Josef Jon and Ondřej Bojar
R39
Improving Domain Robustness in Neural Machine Translation with Fused Topic Knowledge Embeddings
Danai Xezonaki, Talaat Khalil, David Stap and Brandon Denis
R40
A Filtering Approach to Object Region Detection in Multimodal Machine Translation
Ali Hatami, Paul Buitelaar and Mihael Arcan
R42
Unsupervised Domain Adaptation for Improving Terminology Translation
Prashanth Nayak, John Kelleher, rejwanul haque and Andy Way
R45
A Study of Multilingual versus Meta-Learning for Language Model Pre-Training for Adaptation to Unseen Low Resource Languages
Jyotsana Khatri, Rudra Murthy, Amar Prakash Azad and Pushpak Bhattacharyya
R47
Beyond Correlation: Making Sense of the Score Differences of New MT Evaluation Metrics
Chi-kiu Lo, Rebecca Knowles and Cyril Goutte
R49
Bad MT Systems are Good for Quality Estimation
Iryna Tryhubyshyn, Aleš Tamchyna and Ondřej Bojar
Fold