---
title: "Who cites Improving nonparameteric — 64 citing papers"
description: "64 papers of the Elamur Research library cite «Improving nonparameteric Bayesian inference: experiments on unsupervised word…"
canonical: "https://research.elamur.ai/free/en/papers/johnson-2009-improving-nonparameteric-bayesian-inference-experiments/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/johnson-2009-improving-nonparameteric-bayesian-inference-experiments/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Improving nonparameteric Bayesian inference…](https://md.research.elamur.ai/free/en/papers/johnson-2009-improving-nonparameteric-bayesian-inference-experiments/) / cited by

# Who cites «Improving nonparameteric Bayesian inference: experiments on unsupervised word segmentation with adaptor grammars»

64 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «Improving nonparameteric Bayesian inference: experiments on unsupervised word segmentation with adaptor grammars»](https://md.research.elamur.ai/free/en/papers/johnson-2009-improving-nonparameteric-bayesian-inference-experiments/)

1. **[Decolonising Speech and Language Technology](https://md.research.elamur.ai/free/en/papers/bird-2020-decolonising-speech-language-technology/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Steven Bird*2020 · 257 citations*
2. [**Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP arXiv:2112.10508**Sabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, et al.*2021 · 191 citations*](https://md.research.elamur.ai/free/en/papers/mielke-2021-between-words-characters-brief-history/)
3. **[Minimally-Supervised Morphological Segmentation using Adaptor Grammars](https://md.research.elamur.ai/free/en/papers/sirts-2013-minimally-supervised-morphological-segmentation-adaptor/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Kairit Sirts, Sharon Goldwater*2013 · 94 citations*
4. **[A joint model of word segmentation and phonological variation for English word-final /t/-deletion](https://md.research.elamur.ai/free/en/papers/borschinger-2013-joint-model-word-segmentation-phonological/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Benjamin Börschinger, Mark Johnson, Katherine Demuth*2013 · 13 citations*
5. [**Probabilistic Modelling of Morphologically Rich Languages**Jan A. Botha*2015 · 4 citations*](https://md.research.elamur.ai/free/en/papers/botha-2015-probabilistic-modelling-morphologically-rich-languages/)
6. **[Why is English so easy to segment?](https://md.research.elamur.ai/free/en/papers/fourtassi-2013-why-is-english-so-easy/) [Annual Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/annual-workshop-on-cognitive-modeling-and-computational-linguistics-cmcl/)**Abdellah Fourtassi, Benjamin Börschinger, Mark Johnson, et al.*2013 · 3 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/johnson-2009-improving-nonparameteric-bayesian-inference-experiments/) — Improving nonparameteric Bayesian inference: experiments on unsupervised word segmentation with adaptor grammars