Part-of-Speech Driven Cross-Lingual Pronoun Prediction with Feed-Forward Neural Networks

Abstract

For some language pairs, pronoun trans-lation is a discourse-driven task which re-quires information that lies beyond its lo-cal context. This motivates the task of predicting the correct pronoun given a source sentence and a target translation, where the translated pronouns have been replaced with placeholders. For cross-lingual pronoun prediction, we suggest a neural network-based model using preced-ing nouns and determiners as features for suggesting antecedent candidates. Our model scores on par with similar models while having a simpler architecture. 1