[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/zhou-2019-handling-syntactic-divergence-low-resource/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «Handling Syntactic Divergence in Low-resource Machine Translation»

# Who cites «Handling Syntactic Divergence in Low-resource Machine Translation»

9 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/zhou-2019-handling-syntactic-divergence-low-resource/)

1. [Enhancing the Transformer Decoder with Transition-based Syntax](https://aclanthology.org/2022.conll-1.27/) *— 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)*
2. [Data Augmentation for Sign Language Gloss Translation](https://aclanthology.org/2021.mtsummit-at4ssl.1/) *— 2021 · Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL)*
3. [Improving Zero-Shot Translation by Disentangling Positional Information](https://aclanthology.org/2021.acl-long.101/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
4. [IndT5: A Text-to-Text Transformer for 10 Indigenous Languages](https://aclanthology.org/2021.americasnlp-1.30/) *— 2021 · Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas*
5. [稀缺资源语言神经网络机器翻译研究综述](https://www.aas.net.cn/cn/article/doi/10.16383/j.aas.c200103) *— 2021 · 自动化学报 (Acta Automatica Sinica)*
6. [Emergent Communication Pretraining for Few-Shot Machine Translation](https://aclanthology.org/2020.coling-main.416/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
7. [Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences](https://aclanthology.org/2020.acl-main.109/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
8. [JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation](https://aclanthology.org/2020.lrec-1.454/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
9. [Simulated multiple reference training improves low-resource machine translation](https://aclanthology.org/2020.emnlp-main.7/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
- [← previous Who cites «GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zheng-2021-grice-grammar-based-dataset-recovering/)
- [next → Who cites «A Monolingual Tree-based Translation Model for Sentence Simplification»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/zhu-2010-monolingual-tree-based-translation-model/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)