Pronoun Language Model and Grammatical Heuristics for Aiding Pronoun Prediction
The cross lingual pronoun prediction task at WMT 2016 requires to restore the missing target pronouns from source text and target lemmatized and POS tagged translations. We study the benefits for this task of a specific Pronoun Language Model (PLM) which captures the likelihood of a pronoun given the gender and number of the nouns or pronouns preceding it, on the target side only. Experimenting with the English to French subtask, we select the best candidate pronoun by applying the PLM and additional heuristics based on French grammar rules to the target side texts provided in the subtask. Although the PLM helps to outperform a random baseline, it still scores far lower than system using both source and target texts.
WMT