Improving Low-Resource Neural Machine Translation with Filtered Pseudo-Parallel Corpus. - Aizhan Imankulova; Takayuki Sato; Mamoru Komachi (WAT@IJCNLP, 2017)

Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019. - Aizhan Imankulova; Masahiro Kaneko; Mamoru Komachi (WAT@EMNLP-IJCNLP, 2019)

Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation. - Aizhan Imankulova; Raj Dabre; Atsushi Fujita; Kenji Imamura (MTSummit (1), 2019)

English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs. - Masahiro Kaneko; Aizhan Imankulova; Tosho Hirasawa; Mamoru Komachi (NGT@ACL, 2020)

Cross-lingual Transfer Learning for Grammatical Error Correction. - Ikumi Yamashita; Satoru Katsumata; Masahiro Kaneko; Aizhan Imankulova; Mamoru Komachi (COLING, 2020)

Towards a Standardized Dataset on Indonesian Named Entity Recognition. - Siti Oryza Khairunnisa; Aizhan Imankulova; Mamoru Komachi (AACL/IJCNLP (Student Research Workshop), 2020)

Towards Multimodal Simultaneous Neural Machine Translation. - Aizhan Imankulova; Masahiro Kaneko; Tosho Hirasawa; Mamoru Komachi (WMT@EMNLP, 2020)

Filtered Pseudo-parallel Corpus Improves Low-resource Neural Machine Translation. - Aizhan Imankulova; Takayuki Sato; Mamoru Komachi (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

Neural Combinatory Constituency Parsing. - Zhousi Chen; Longtu Zhang; Aizhan Imankulova; Mamoru Komachi (ACL/IJCNLP (Findings), 2021)

Studying The Impact Of Document-level Context On Simultaneous Neural Machine Translation. - Raj Dabre; Aizhan Imankulova; Masahiro Kaneko (MTSummit (1), 2021)

From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding. - Rob van der Goot; Ibrahim Sharaf; Aizhan Imankulova; Ahmet Üstün; Marija Stepanovic; Alan Ramponi; Siti Oryza Khairunnisa; Mamoru Komachi; Barbara Plank (NAACL-HLT, 2021)

Simultaneous Multi-Pivot Neural Machine Translation. - Raj Dabre; Aizhan Imankulova; Masahiro Kaneko; Abhisek Chakrabarty (CoRR, 2021)

Gender Bias in Masked Language Models for Multiple Languages. - Masahiro Kaneko; Aizhan Imankulova; Danushka Bollegala; Naoaki Okazaki (NAACL-HLT, 2022)

Pre-Trained Word Embedding and Language Model Improve Multimodal Machine Translation: A Case Study in Multi30K. - Tosho Hirasawa; Masahiro Kaneko; Aizhan Imankulova; Mamoru Komachi (IEEE Access, 2022)