Abstract

Classifiers are function words that are used to express quantities in Chinese and are especially difficult for language learners. In contrast to previous studies, we argue that the choice of classifiers is highly contextual and train context-aware machine learning models based on a novel publicly available dataset, outperforming previous baselines. We further present use cases for our database and models in an interactive demo system.

Citation information

Nicole Peinelt, Maria Liakata, Shu-Kai Hsieh (2017): ClassifierGuesser - A Context-based Classifier Prediction System for Chinese Language Learners. Proceedings of IJCNLP 2017 (System Demonstrations), pages 41-44.

Turing affiliated authors