We present the LIMSI's cross-lingual pronoun prediction system for the WMT 2016 shared task. We use high-level linguistic features with explicit coreference resolution and expletive detection and rely on dependency annotations and a morphological lexicon. We show that our few, carefully chosen features perform significantly better than several language model baselines and competitively compared to the other systems submitted.
CITATION STYLE
Bawden, R. (2016). Cross-lingual Pronoun Prediction with Linguistically Informed Features. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 2, pp. 564–570). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-2348
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