[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/acl-2021-wicks-unified-approach-sentence-segmentation-punctuated/)

[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 «A unified approach to sentence segmentation of punctuated text in many languages»

# Who cites «A unified approach to sentence segmentation of punctuated text in many languages»

21 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/acl-2021-wicks-unified-approach-sentence-segmentation-punctuated/)

1. [Arabic Sentence Segmentation Across Genres and Punctuation Conditions](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-elkholy-arabic-sentence-segmentation-across-genres/) *— our card · 2026 · arXiv:2606.08025*
2. [New Compendium of a Myriad of Plants: A New Dataset Describing Ancient Chinese Plants](https://aclanthology.org/2026.findings-acl.73/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
3. [Paragraph Segmentation Revisited: Towards a Standard Task for Structuring Speech](https://aclanthology.org/2026.lrec-1.55/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
4. [Align-then-Slide: A complete evaluation framework for Ultra-Long Document-Level Machine Translation](https://arxiv.org/abs/2509.03809) *— 2025 · arXiv:2509.03809*
5. [Extending Automatic Machine Translation Evaluation to Book-Length Documents](https://aclanthology.org/2025.emnlp-main.1645/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
6. [Nvidia-Nemo's WMT 2025 Metrics Shared Task Submission](https://aclanthology.org/2025.wmt-1.66/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
7. [OJ4OCRMT: A Large Multilingual Dataset for OCR-MT Evaluation](https://aclanthology.org/2025.mtsummit-1.9/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
8. [MSLC24 Submissions to the General Machine Translation Task](https://aclanthology.org/2024.wmt-1.7/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
9. [Reducing Privacy Risks in Online Self-Disclosures with Language Models](https://aclanthology.org/2024.acl-long.741/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation](https://aclanthology.org/2024.emnlp-main.665/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
11. [Tell Me Again! a Large-Scale Dataset of Multiple Summaries for the Same Story](https://aclanthology.org/2024.lrec-main.1366/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
12. [DisCut and DiscReT: MELODI at DISRPT 2023](https://aclanthology.org/2023.disrpt-1.3/) *— 2023 · Proceedings of the 3rd Shared Task on Discourse Relation Parsing and Treebanking (DISRPT 2023)*
13. [Sentence Identification with BOS and EOS Label Combinations](https://aclanthology.org/2023.findings-eacl.26/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
14. [Mukayese: Turkish NLP Strikes Back](https://aclanthology.org/2022.findings-acl.69/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
15. [Multilingual Open Text Release 1: Public Domain News in 44 Languages](https://aclanthology.org/2022.lrec-1.224/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
16. [Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models](https://arxiv.org/abs/2201.08471) *— 2022 · ECIR 2022*
17. mccarthy-2023-long-form-speech-translation-through
18. mcnamee-2023-extensive-exploration-back-translation-60
19. nishimura-2025-improving-japanese-english-patent-claim
20. wang-2022-multimodal-simultaneous-interpretation-prototype-who
21. xinyuan-2023-jhu-iwslt-2023-multilingual-speech
- [← previous Who cites «Improving Arabic Diacritization with Regularized Decoding and Adversarial Training»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2021-qin-improving-arabic-diacritization-regularized-decoding/)
- [next → Who cites «AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/acl-2022-seker-alephbert-language-model-pre-training/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)
