Who cites «Learning attention for historical text normalization by learning to pronounce»

16 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

1. Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation — 2024 · Computational Linguistics
2. Historical German Text Normalization Using Type- and Token-Based Language Modeling — 2024 · arXiv:2409.02841
3. LLM-based Translation Across 500 Years. The Case for Early New High German — 2024 · Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024)
4. Event Extraction from Historical Texts: A New Dataset for Black Rebellions — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
5. Semi-supervised Contextual Historical Text Normalization — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
6. A Large-Scale Comparison of Historical Text Normalization Systems — our card · 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
7. Few-Shot and Zero-Shot Learning for Historical Text Normalization — our card · 2019 · Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)
8. Historical Text Normalization with Delayed Rewards — our card · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
9. Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
10. An Evaluation of Neural Machine Translation Models on Historical Spelling Normalization — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
11. Evaluating Historical Text Normalization Systems: How Well Do They Generalize? — our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
12. Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
13. Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
14. Training Data Augmentation for Low-Resource Morphological Inflection — 2017 · Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection
15. granet-2018-decodeur-neuronal-pour-la-transcription
16. granet-2018-transfer-learning-letter-ngrams-word

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