COLING 2020main2 citations

Analysing cross-lingual transfer in lemmatisation for Indian languages

Kumar Saurav, Kumar Saunack, Pushpak Bhattacharyya

Abstract

Lemmatization aims to reduce the sparse data problem by relating the inflected forms of a word to its dictionary form. However, most of the prior work on this topic has focused on high resource languages. In this paper, we evaluate cross-lingual approaches for low resource languages, especially in the context of morphologically rich Indian languages. We test our model on six languages from two different families and develop linguistic insights into each model’s performance.

BibTeX
@inproceedings{saurav-etal-2020-analysing,
    title = "Analysing cross-lingual transfer in lemmatisation for {I}ndian languages",
    author = "Saurav, Kumar  and
      Saunack, Kumar  and
      Bhattacharyya, Pushpak",
    editor = "Scott, Donia  and
      Bel, Nuria  and
      Zong, Chengqing",
    booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain (Online)",
    publisher = "International Committee on Computational Linguistics",
    url = "https://aclanthology.org/2020.coling-main.534/",
    doi = "10.18653/v1/2020.coling-main.534",
    pages = "6070--6076"
}
Analysing cross-lingual transfer in lemmatisation for Indian languages · COLING 2020