@InProceedings{barros-gkatzia-lloret:2017:SCLeM,
  author    = {Barros, Cristina  and  Gkatzia, Dimitra  and  Lloret, Elena},
  title     = {Inflection Generation for Spanish Verbs using Supervised Learning},
  booktitle = {Proceedings of the First Workshop on Subword and Character Level Models in NLP},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {136--141},
  abstract  = {We present a novel supervised approach to inflection generation for verbs in
	Spanish. Our system takes as input the verb's lemma form and the desired
	features such as person, number, tense, and is able to predict the appropriate
	grammatical conjugation. Even though our approach learns from fewer examples
	comparing to previous work, it is able to deal with all the Spanish moods
	(indicative, subjunctive and imperative) in contrast to previous work which
	only focuses on indicative and subjunctive moods. We show that in an intrinsic
	evaluation, our system achieves 99% accuracy, outperforming (although not
	significantly) two competitive state-of-art systems. The successful results
	obtained clearly indicate that our approach could be integrated into wider
	approaches related to text generation in Spanish.},
  url       = {http://www.aclweb.org/anthology/W17-4120}
}