Analysing cross-lingual transfer in lemmatisation for Indian languages

Autor:	Kumar Saunack, Kumar Saurav, Pushpak Bhattacharyya
Rok vydání:	2020
Předmět:	Cross lingual Resource (project management) Computer science business.industry Lemmatisation Context (language use) Artificial intelligence computer.software_genre business computer Natural language processing Word (computer architecture) Lemma (morphology)
Zdroj:	COLING
DOI:	10.18653/v1/2020.coling-main.534
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8c53d1557bc9187953b7f2c9413dbeb0 https://doi.org/10.18653/v1/2020.coling-main.534 Zobrazit plný text záznamu