Paper: Lemmatisation as a Tagging Task

ACL ID P12-2072
Title Lemmatisation as a Tagging Task
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2012
Authors

We present a novel approach to the task of word lemmatisation. We formalise lemmati- sation as a category tagging task, by describ- ing how a word-to-lemma transformation rule can be encoded in a single label and how a set of such labels can be inferred for a specific language. In this way, a lemmatisation sys- tem can be trained and tested using any super- vised tagging model. In contrast to previous approaches, the proposed technique allows us to easily integrate relevant contextual informa- tion. We test our approach on eight languages reaching a new state-of-the-art level for the lemmatisation task.