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# Who cites «Comparing Rule-based and SMT-based Spelling Normalisation for English Historical Texts»

6 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/schneider-2017-comparing-rule-based-smt-based/)

1. [Latin-Spanish Neural Machine Translation: from the Bible to Saint Augustine](https://aclanthology.org/2020.lt4hala-1.14/) *— 2020 · Proceedings of LT4HALA 2020 - 1st Workshop on Language Technologies for Historical and Ancient Languages*
2. [Towards a Spell Checker for Zamboanga Chavacano Orthography](https://aclanthology.org/2020.lrec-1.327/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
3. [A Large-Scale Comparison of Historical Text Normalization Systems](https://md.mova.elamur.ai/free/en/docs/papers/bollmann-2019-large-scale-comparison-historical-text/) *— 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)*
4. [Noise or music? Investigating the usefulness of normalisation for robust sentiment analysis on social media data](https://aclanthology.org/2017.tal-1.3/) *— 2017*
5. steingrimsson-2025-mc-19-corpus-19th-century
6. sukhareva-2020-context-aware-text-normalisation-historical
- [← previous Who cites «Adposition and Case Supersenses v2.6: Guidelines for English»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/schneider-2017-adposition-case-supersenses-v2-6/)
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