---
title: "Who cites Trankit: A Light-Weight Transformer-based…"
description: "62 papers of the Elamur Research library cite «Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing», found in…"
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---
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# Who cites «Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing»

62 papers of our library cite it (of the 140,884 whose bibliographies we read) · 10 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/nguyen-2021-trankit-light-weight-transformer-based/)

1. [**Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey**Bonan Min, Hayley Ross, Elior Sulem, et al.*2021 · 1,548 citations*](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/)
2. [**From Raw Text to Enhanced Universal Dependencies: The Parsing Shared Task at IWPT 2021**Gosse Bouma, Djamé Seddah, Daniel Zeman*2021 · 30 citations*](https://md.research.elamur.ai/free/en/papers/bouma-2021-raw-text-enhanced-universal-dependencies/)
3. [**Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessary**Stefan Grünewald, Annemarie Friedrich, Jonas Kuhn*2021 · 18 citations*](https://md.research.elamur.ai/free/en/papers/grunewald-2021-applying-occam-s-razor-transformer/)
4. [**MRL Parsing Without Tears: The Case of Hebrew**Shaltiel Shmidman, Avi Shmidman, Moshe Koppel, et al.*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2024-mrl-parsing-without-tears-case/)
5. [**A Truly Joint Neural Architecture for Segmentation and Parsing**Danit Yshaayahu Levi, Reut Tsarfaty*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/levi-2024-truly-joint-neural-architecture-segmentation/)
6. [**Morphologically annotated corpora of Pomak**Ritván Jusúf Karahóǧa, Panagiotis G. Krimpas, Vivian Stamou, et al.*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/karahoa-2022-morphologically-annotated-corpora-pomak/)
7. [**The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task**James Barry, Alireza Mohammadshahi, Joachim Wagner, et al.*2021 · 4 citations*](https://md.research.elamur.ai/free/en/papers/barry-2021-dcu-epfl-enhanced-dependency-parser/)
8. [**Improving Latvian Morphosyntactic Parsing with Pretrained Encoders and Analyzer-Constrained Decoding**Arturs Znotins*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/znotins-2026-improving-latvian-morphosyntactic-parsing-pretrained/)
9. [**Nepali Lemmatization with Multilingual Transformers: Intrinsic and Extrinsic Evaluation in a Low-Resource Setting**Sunil Regmi, Sundeep Dawadi, Bal Krishna Bal*2026*](https://md.research.elamur.ai/free/en/papers/regmi-2026-nepali-lemmatization-multilingual-transformers-intrinsic/)
10. [**The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform**Panagiotis Tsolakis, Ziqian Peng, Laurent Romary, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tsolakis-2026-matos-pipeline-translation-scientific-abstracts/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/nguyen-2021-trankit-light-weight-transformer-based/) — Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing