ClassifierGuesser: A Context-based Classifier Prediction System for Chinese Language Learners
Proceedings of the IJCNLP 2017, System Demonstrations 2017
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.
paper
source
@inproceedings{peinelt-etal-2017-classifierguesser,
title = "{C}lassifier{G}uesser: A Context-based Classifier Prediction System for {C}hinese Language Learners",
author = "Peinelt, Nicole AND Liakata, Maria AND Hsieh, Shu-Kai",
editor = "Park, Seong-Bae AND Supnithi, Thepchai",
booktitle = "Proceedings of the {IJCNLP} 2017, System Demonstrations",
month = nov,
year = "2017",
address = "Tapei, Taiwan",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/I17-3011/",
pages = "41--44",
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."
}