Aizhan Imankulova
Tokyo Metropolitan University
H-index: 8
Asia-Japan
Top articles of Aizhan Imankulova
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Pre-trained word embedding and language model improve multimodal machine translation: A case study in Multi30K | IEEE Access | Tosho Hirasawa Masahiro Kaneko Aizhan Imankulova Mamoru Komachi | 2022/6/22 |
Gender bias in masked language models for multiple languages | arXiv preprint arXiv:2205.00551 | Masahiro Kaneko Aizhan Imankulova Danushka Bollegala Naoaki Okazaki | 2022/5/1 |
Simultaneous multi-pivot neural machine translation | arXiv preprint arXiv:2104.07410 | Raj Dabre Aizhan Imankulova Masahiro Kaneko Abhisek Chakrabarty | 2021/4/15 |
From masked language modeling to translation: Non-English auxiliary tasks improve zero-shot spoken language understanding | arXiv preprint arXiv:2105.07316 | Rob Van Der Goot Ibrahim Sharaf Aizhan Imankulova Ahmet Üstün Marija Stepanović | 2021/5/15 |
A Study on Exploiting Additional Resources for Low-resource Neural Machine Translation | Aizhan Imankulova | 2021 | |
Cross-lingual Multi-task Transfer for Zero-shot Task-oriented Dialog | Rob van der Goot Marija Stepanovic Alan Ramponi Ibrahim Sharaf Ahmet Üstün | 2021/9/25 | |
Studying the impact of document-level context on simultaneous neural machine translation | Raj Dabre Aizhan Imankulova Masahiro Kaneko | 2021 | |
Neural combinatory constituency parsing | arXiv preprint arXiv:2106.06689 | Zhousi Chen Longtu Zhang Aizhan Imankulova Mamoru Komachi | 2021/6/12 |
English-to-Japanese diverse translation by combining forward and backward outputs | Masahiro Kaneko Aizhan Imankulova Tosho Hirasawa Mamoru Komachi | 2020/7 | |
Towards multimodal simultaneous neural machine translation | arXiv preprint arXiv:2004.03180 | Aizhan Imankulova Masahiro Kaneko Tosho Hirasawa Mamoru Komachi | 2020/4/7 |
Towards a standardized dataset on Indonesian named entity recognition | Siti Oryza Khairunnisa Aizhan Imankulova Mamoru Komachi | 2020/12 | |
Cross-lingual transfer learning for grammatical error correction | Ikumi Yamashita Satoru Katsumata Masahiro Kaneko Aizhan Imankulova Mamoru Komachi | 2020/12 |
Co-Authors
