National Research Council of Canada. Information and Communication Technologies
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, May 31 - June 5 2015, Denver, Colorado, USA
We approach the task of morphological inflection generation as discriminative string transduction. Our supervised system learns to generate word-forms from lemmas accompanied by morphological tags, and refines them by referring to the other forms within a paradigm.
Results of experiments on six diverse languages with varying amounts of training data demonstrate that our approach improves the state of the art in terms of predicting inflected word-forms.
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2015)1: 922–931.