---
title: "Who cites Unsupervised Morphological Segmentation with…"
description: "77 papers of the Elamur Research library cite «Unsupervised Morphological Segmentation with Log-Linear Models», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/poon-2009-unsupervised-morphological-segmentation-log-linear/cited-by/"
---
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# Who cites «Unsupervised Morphological Segmentation with Log-Linear Models»

77 papers of our library cite it (of the 140,884 whose bibliographies we read) · 7 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/poon-2009-unsupervised-morphological-segmentation-log-linear/)

1. [**Supervised Learning of Complete Morphological Paradigms**Greg Durrett, John DeNero*2013 · 205 citations*](https://md.research.elamur.ai/free/en/papers/durrett-2013-morphological-paradigms/)
2. [**Minimally-Supervised Morphological Segmentation using Adaptor Grammars**Kairit Sirts, Sharon Goldwater*2013 · 94 citations*](https://md.research.elamur.ai/free/en/papers/sirts-2013-minimally-supervised-morphological-segmentation-adaptor/)
3. [**Unsupervised Morphology Rivals Supervised Morphology for Arabic MT**David Stallard, Jacob Devlin, Michael Kayser, et al.*2012 · 30 citations*](https://md.research.elamur.ai/free/en/papers/stallard-2012-unsupervised-morphology-rivals-supervised-morphology/)
4. [**Optimizing the Size of Subword Vocabularies in Dialect Classification**Vani Kanjirangat, Tanja Samardžić, Ljiljana Dolamic, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/kanjirangat-2023-optimizing-size-subword-vocabularies-dialect/)
5. [**Morphological Analysis for the Maltese Language: The challenges of a hybrid system**Claudia Borg, Albert Gatt*2017 · 9 citations*](https://md.research.elamur.ai/free/en/papers/borg-2017-morphological-analysis-maltese-language-challenges/)
6. [**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/)
7. [**Noor-Ghateh: A Benchmark Dataset for Evaluating Arabic Word Segmenters in Hadith Domain**Huda AlShuhayeb, Behrouz Minaei-Bidgoli, Mohammad E. Shenassa, et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alshuhayeb-2023-noor-ghateh-benchmark-dataset-evaluating/)

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

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