| Improving low-resource neural machine translation with filtered pseudo-parallel corpus A Imankulova, T Sato, M Komachi Proceedings of the 4th Workshop on Asian Translation (WAT2017), 70-78, 2017 | 58 | 2017 |
| Gender bias in masked language models for multiple languages M Kaneko, A Imankulova, D Bollegala, N Okazaki arXiv preprint arXiv:2205.00551, 2022 | 57 | 2022 |
| Exploiting out-of-domain parallel data through multilingual transfer learning for low-resource neural machine translation A Imankulova, R Dabre, A Fujita, K Imamura arXiv preprint arXiv:1907.03060, 2019 | 48 | 2019 |
| From masked language modeling to translation: Non-English auxiliary tasks improve zero-shot spoken language understanding R Van Der Goot, I Sharaf, A Imankulova, A Üstün, M Stepanovic, ... Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 44* | 2021 |
| Filtered pseudo-parallel corpus improves low-resource neural machine translation A Imankulova, T Sato, M Komachi ACM Transactions on Asian and Low-Resource Language Information Processing …, 2019 | 34 | 2019 |
| Cross-lingual transfer learning for grammatical error correction I Yamashita, S Katsumata, M Kaneko, A Imankulova, M Komachi Proceedings of the 28th International Conference on Computational …, 2020 | 13 | 2020 |
| Towards multimodal simultaneous neural machine translation A Imankulova, M Kaneko, T Hirasawa, M Komachi arXiv preprint arXiv:2004.03180, 2020 | 13 | 2020 |
| Towards a standardized dataset on Indonesian named entity recognition SO Khairunnisa, A Imankulova, M Komachi Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020 | 11 | 2020 |
| Simultaneous multi-pivot neural machine translation R Dabre, A Imankulova, M Kaneko, A Chakrabarty arXiv preprint arXiv:2104.07410, 2021 | 8 | 2021 |
| Pre-trained word embedding and language model improve multimodal machine translation: A case study in Multi30K T Hirasawa, M Kaneko, A Imankulova, M Komachi IEEE Access 10, 67653-67668, 2022 | 6 | 2022 |
| Studying the impact of document-level context on simultaneous neural machine translation R Dabre, A Imankulova, M Kaneko Proceedings of Machine Translation Summit XVIII: Research Track, 202-214, 2021 | 2 | 2021 |
| Neural combinatory constituency parsing Z Chen, L Zhang, A Imankulova, M Komachi arXiv preprint arXiv:2106.06689, 2021 | 2 | 2021 |
| English-to-Japanese diverse translation by combining forward and backward outputs M Kaneko, A Imankulova, T Hirasawa, M Komachi Proceedings of the Fourth Workshop on Neural Generation and Translation, 134-138, 2020 | 2 | 2020 |
| Cross-lingual Multi-task Transfer for Zero-shot Task-oriented Dialog R van der Goot, M Stepanovic, A Ramponi, I Sharaf, A Üstün, ... RESOURCEFUL-2020: RESOURCEs and representations For Under-resourced …, 2021 | | 2021 |
| A Study on Exploiting Additional Resources for Low-resource Neural Machine Translation A Imankulova | | 2021 |
| Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019 AIMKM Komachi WAT 2019, 165, 2019 | | 2019 |
| Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019 A Imankulova, M Kaneko, M Komachi Proceedings of the 6th Workshop on Asian Translation, 165-170, 2019 | | 2019 |
| Preliminary Experiments toward NMT on E-commerce Product Titles A Imankulova, K Murakami | | 2018 |
Mamoru KomachiProfessor at Hitotsubashi University確認したメール アドレス: r.hit-u.ac.jp
