Aizhan Imankulova

According to our database, Aizhan Imankulova authored at least 14 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Gender Bias in Masked Language Models for Multiple Languages.

Masahiro Kaneko, Aizhan Imankulova, Danushka Bollegala, Naoaki Okazaki

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Simultaneous Multi-Pivot Neural Machine Translation.

Raj Dabre, Aizhan Imankulova, Masahiro Kaneko, Abhisek Chakrabarty

CoRR, 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

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Studying The Impact Of Document-level Context On Simultaneous Neural Machine Translation.

Raj Dabre, Aizhan Imankulova, Masahiro Kaneko

Proceedings of the 18th Biennial Machine Translation Summit - Volume 1: Research Track, 2021

Neural Combinatory Constituency Parsing.

Zhousi Chen, Longtu Zhang, Aizhan Imankulova, Mamoru Komachi

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

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

Towards Multimodal Simultaneous Neural Machine Translation.

Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa, Mamoru Komachi

Proceedings of the Fifth Conference on Machine Translation, 2020

Towards a Standardized Dataset on Indonesian Named Entity Recognition.

Siti Oryza Khairunnisa, Aizhan Imankulova, Mamoru Komachi

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop, 2020

Cross-lingual Transfer Learning for Grammatical Error Correction.

Ikumi Yamashita, Satoru Katsumata, Masahiro Kaneko, Aizhan Imankulova, Mamoru Komachi

Proceedings of the 28th International Conference on Computational Linguistics, 2020

English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs.

Masahiro Kaneko, Aizhan Imankulova, Tosho Hirasawa, Mamoru Komachi

Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

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

Proceedings of Machine Translation Summit XVII Volume 1: Research Track, 2019

Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019.

Aizhan Imankulova, Masahiro Kaneko, Mamoru Komachi

Proceedings of the 6th Workshop on Asian Translation, 2019

2017

Improving Low-Resource Neural Machine Translation with Filtered Pseudo-Parallel Corpus.

Aizhan Imankulova, Takayuki Sato, Mamoru Komachi

Proceedings of the 4th Workshop on Asian Translation, 2017