---
title: "Who cites A Phrase-Based Statistical Model — 78 citing papers"
description: "78 papers of the Elamur Research library cite «A Phrase-Based Statistical Model for SMS Text Normalization», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/aw-2006-phrase-based-statistical-model-sms/cited-by/"
---
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# Who cites «A Phrase-Based Statistical Model for SMS Text Normalization»

78 papers of our library cite it (of the 141,840 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «A Phrase-Based Statistical Model for SMS Text Normalization»](https://md.research.elamur.ai/free/en/papers/aw-2006-phrase-based-statistical-model-sms/)

1. **[Lexical Normalisation of Short Text Messages: Makn Sens a #twitter](https://md.research.elamur.ai/free/en/papers/han-2011-lexical-normalisation-short-text-messages/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bo Han, Timothy Baldwin*2011 · 587 citations*
2. **[What to do about bad language on the internet](https://md.research.elamur.ai/free/en/papers/eisenstein-2013-what-do-about-bad-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jacob Eisenstein*2013 · 472 citations*
3. **[Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/baldwin-2015-shared-tasks-2015-workshop-noisy/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Timothy Baldwin, Marie Catherine de Marneffe, Bo Han, et al.*2015 · 287 citations*
4. [**The Denoised Web Treebank: Evaluating Dependency Parsing under Noisy Input Conditions**Joachim Daiber, Rob van der Goot*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/daiber-2016-denoised-web-treebank-evaluating-dependency/)
5. [**A Text Normalisation System for Non-Standard English Words**Emma Flint, Elliot Ford, Olivia Thomas, et al.*2017 · 16 citations*](https://md.research.elamur.ai/free/en/papers/flint-2017-text-normalisation-system-non-standard/)
6. **[Beyond Normalization: Pragmatics of Word Form in Text Messages](https://md.research.elamur.ai/free/en/papers/baldwin-2011-beyond-normalization-pragmatics-word-form/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Tyler Baldwin, Joyce Chai*2011 · 8 citations*

72 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/aw-2006-phrase-based-statistical-model-sms/) — A Phrase-Based Statistical Model for SMS Text Normalization