---
title: "Who cites Data-Driven Parsing using — 31 citing papers"
description: "31 papers of the Elamur Research library cite «Data-Driven Parsing using Probabilistic Linear Context-Free Rewriting Systems», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/kallmeyer-2013-data-driven-parsing-probabilistic-linear/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Data-Driven Parsing using Probabilistic Linear…](https://md.research.elamur.ai/free/en/papers/kallmeyer-2013-data-driven-parsing-probabilistic-linear/) / cited by

# Who cites «Data-Driven Parsing using Probabilistic Linear Context-Free Rewriting Systems»

31 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Data-Driven Parsing using Probabilistic Linear Context-Free Rewriting Systems»](https://md.research.elamur.ai/free/en/papers/kallmeyer-2013-data-driven-parsing-probabilistic-linear/)

1. **[Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages](https://md.research.elamur.ai/free/en/papers/seddah-2013-overview-spmrl-2013-shared-task/) [Workshop on Statistical Parsing of Morphologically-Rich Languages](https://md.research.elamur.ai/free/en/venues/workshop-on-statistical-parsing-of-morphologically-rich-languages/)**Djamé Seddah, Reut Tsarfaty, Sandra Kübler, et al.*2013 · 245 citations*
2. [**Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines**Aarne Ranta, Krasimir Angelov, Normunds Gruzitis, et al.*2020 · 21 citations*](https://md.research.elamur.ai/free/en/papers/ranta-2020-abstract-syntax-as-interlingua-scaling/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/kallmeyer-2013-data-driven-parsing-probabilistic-linear/) — Data-Driven Parsing using Probabilistic Linear Context-Free Rewriting Systems