Chong Kang


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KOJAK: A New Corpus for Studying German Discourse Particle ja
Adil Soubki | Owen Rambow | Chong Kang
Proceedings of the 3rd Workshop on Computational Approaches to Discourse

In German, ja can be used as a discourse particle to indicate that a proposition, according to the speaker, is believed by both the speaker and audience. We use this observation to create KoJaK, a distantly-labeled English dataset derived from Europarl for studying when a speaker believes a statement to be common ground. This corpus is then analyzed to identify lexical choices in English that correspond with German ja. Finally, we perform experiments on the dataset to predict if an English clause corresponds to a German clause containing ja and achieve an F-measure of 75.3% on a balanced test corpus.