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2020 – today
- 2022
[j2]Tosho Hirasawa
, Masahiro Kaneko, Aizhan Imankulova, Mamoru Komachi:
Pre-Trained Word Embedding and Language Model Improve Multimodal Machine Translation: A Case Study in Multi30K. IEEE Access 10: 67653-67668 (2022)- [c11]Masahiro Kaneko, Aizhan Imankulova, Danushka Bollegala, Naoaki Okazaki:
Gender Bias in Masked Language Models for Multiple Languages. NAACL-HLT 2022: 2740-2750 - [i6]Masahiro Kaneko, Aizhan Imankulova, Danushka Bollegala, Naoaki Okazaki:
Gender Bias in Masked Language Models for Multiple Languages. CoRR abs/2205.00551 (2022) - 2021
- [c10]Zhousi Chen, Longtu Zhang, Aizhan Imankulova, Mamoru Komachi:
Neural Combinatory Constituency Parsing. ACL/IJCNLP (Findings) 2021: 2199-2213 - [c9]Raj Dabre, Aizhan Imankulova, Masahiro Kaneko:
Studying The Impact Of Document-level Context On Simultaneous Neural Machine Translation. MTSummit (1) 2021: 202-214 - [c8]Rob van der Goot, Ibrahim Sharaf, Aizhan Imankulova, Ahmet Üstün, Marija Stepanovic, Alan Ramponi, Siti Oryza Khairunnisa, Mamoru Komachi, Barbara Plank:
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding. NAACL-HLT 2021: 2479-2497 - [i5]Raj Dabre, Aizhan Imankulova, Masahiro Kaneko, Abhisek Chakrabarty:
Simultaneous Multi-Pivot Neural Machine Translation. CoRR abs/2104.07410 (2021) - [i4]Rob van der Goot, Ibrahim Sharaf, Aizhan Imankulova, Ahmet Üstün, Marija Stepanovic, Alan Ramponi, Siti Oryza Khairunnisa, Mamoru Komachi, Barbara Plank:
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding. CoRR abs/2105.07316 (2021) - [i3]Zhousi Chen, Longtu Zhang, Aizhan Imankulova, Mamoru Komachi:
Neural Combinatory Constituency Parsing. CoRR abs/2106.06689 (2021) - 2020
- [j1]Aizhan Imankulova, Takayuki Sato, Mamoru Komachi:
Filtered Pseudo-parallel Corpus Improves Low-resource Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(2): 24:1-24:16 (2020) - [c7]Masahiro Kaneko, Aizhan Imankulova, Tosho Hirasawa, Mamoru Komachi:
English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs. NGT@ACL 2020: 134-138 - [c6]Ikumi Yamashita, Satoru Katsumata, Masahiro Kaneko, Aizhan Imankulova, Mamoru Komachi:
Cross-lingual Transfer Learning for Grammatical Error Correction. COLING 2020: 4704-4715 - [c5]Siti Oryza Khairunnisa, Aizhan Imankulova, Mamoru Komachi:
Towards a Standardized Dataset on Indonesian Named Entity Recognition. AACL/IJCNLP (Student Research Workshop) 2020: 64-71 - [c4]Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa, Mamoru Komachi:
Towards Multimodal Simultaneous Neural Machine Translation. WMT@EMNLP 2020: 594-603 - [i2]Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa, Mamoru Komachi:
Towards Multimodal Simultaneous Neural Machine Translation. CoRR abs/2004.03180 (2020)
2010 – 2019
- 2019
- [c3]Aizhan Imankulova, Masahiro Kaneko, Mamoru Komachi:
Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019. WAT@EMNLP-IJCNLP 2019: 165-170 - [c2]Aizhan Imankulova, Raj Dabre, Atsushi Fujita, Kenji Imamura:
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation. MTSummit (1) 2019: 128-139 - [i1]Aizhan Imankulova, Raj Dabre, Atsushi Fujita, Kenji Imamura:
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation. CoRR abs/1907.03060 (2019) - 2017
- [c1]Aizhan Imankulova, Takayuki Sato, Mamoru Komachi:
Improving Low-Resource Neural Machine Translation with Filtered Pseudo-Parallel Corpus. WAT@IJCNLP 2017: 70-78
Coauthor Index
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