Nowadays, with the fruitful achievements in Natural Language Processing (NLP) studies, the concern of using NLP technologies for education has called much attention. As two of the most spoken languages in the world, Spanish and Chinese occupy important positions in both NLP studies and bilingual education. In this paper, we present a Spanish-Chinese parallel corpus with annotated discourse information that aims to serve for bilingual language education. The theoretical framework of this work is Rhetorical Structure Theory (RST). The corpus is composed of 100 Spanish-Chinese parallel texts, and all the discourse markers (DM) have been annotated to form the education source. With pedagogical aim, we also present two programs that generate automatic exercises for both Spanish and Chinese students using our corpus. The reliability of this work has been evaluated using Kappa coefficient.
@InProceedings{CAO18.57, author = {Shuyuan Cao and Harritxu Gete}, title = "{Using Discourse Information for Education with a Spanish-Chinese Parallel Corpus}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
Summary of the paper