NTU English Tense Predictor


A rule-based English tense predictor based on the output of the dependency parser like Stanford CoreNLP.


python3 predict.py sample.in

sample.in contains a number of sentences which are parsed by a depdendency parser in the Stanford format.


Click here to download the toolkit.

How to Cite this resource

Please cite the following paper when referring to NTU English Tense Predictor in academic publications and papers.

Hen-Hsen Huang, Chang-Rui Yang, and Hsin-Hsi Chen. 2016. Chinese Tense Labelling and Causal Analysis. In Proceedings of the 26th International Conference on Computational Linguistics (COLING 2016), December 11-16, 2016, Osaka, Japan.