---
title: "Who cites Comparing Rule-based and SMT-based Spelling…"
description: "The papers of the Elamur Research library that cite «Comparing Rule-based and SMT-based Spelling Normalisation for English Historical Texts», found in…"
canonical: "https://research.elamur.ai/free/en/papers/schneider-2017-comparing-rule-based-smt-based/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Comparing Rule-based and SMT-based Spelling…](https://md.research.elamur.ai/free/en/papers/schneider-2017-comparing-rule-based-smt-based/) / cited by

# 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.research.elamur.ai/free/en/papers/schneider-2017-comparing-rule-based-smt-based/)

1. [MC-19: A Corpus of 19th Century Icelandic Texts](https://aclanthology.org/2025.nodalida-1.68/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
2. [Context-Aware Text Normalisation for Historical Dialects](https://aclanthology.org/2020.coling-main.89/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
3. [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*
4. [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*
5. [A Large-Scale Comparison of Historical Text Normalization Systems](https://md.research.elamur.ai/free/en/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)*
6. [Noise or music? Investigating the usefulness of normalisation for robust sentiment analysis on social media data](https://aclanthology.org/2017.tal-1.3/) *— 2017*