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# Who cites «POS Tagging for Historical Texts with Sparse Training Data»

9 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2013-bollmann-pos-tagging-historical-texts-sparse/)

1. [Can Stanza be Used for Part-of-Speech Tagging Historical Polish?](https://aclanthology.org/2024.eacl-srw.4/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop*
2. [Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants](https://md.mova.elamur.ai/free/en/docs/papers/rubino-2024-normalizing-without-modernizing-keeping-historical/) *— our card · 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
3. [Towards the Creation of a Diachronic Corpus for Italian: A Case Study on the GDLI Quotations](https://aclanthology.org/2022.lt4hala-1.13/) *— 2022 · Proceedings of the Second Workshop on Language Technologies for Historical and Ancient Languages*
4. [An Evaluation of Neural Machine Translation Models on Historical Spelling Normalization](https://aclanthology.org/C18-1112/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
5. [A Multilingual Evaluation of Three Spelling Normalisation Methods for Historical Text](https://aclanthology.org/W14-0605/) *— 2014 · Proceedings of the 8th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH)*
6. [Diachronic proximity vs. data sparsity in cross-lingual parser projection. A case study on Germanic](https://md.mova.elamur.ai/free/en/docs/papers/sukhareva-2014-diachronic-proximity-vs-data-sparsity/) *— our card · 2014 · Proceedings of the First Workshop on Applying NLP Tools to Similar Languages, Varieties and Dialects*
7. [Modern Chinese Helps Archaic Chinese Processing: Finding and Exploiting the Shared Properties](https://aclanthology.org/L14-1163/) *— 2014 · Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)*
8. [lameris-2021-whit-s-richt-pairt-o](https://md.mova.elamur.ai/free/en/docs/papers/lameris-2021-whit-s-richt-pairt-o/) *— our card*
9. ortmann-2021-automatic-phrase-recognition-historical-german
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