Abstract
We introduce a method that extracts keywords in a language with the help of the other. The method involves estimating preferences for topical keywords and fusing language-specific word statistics. At run-Time, we transform parallel articles into word graphs, build crosslingual edges for word statistics integration, and exploit PageRank with word keyness information for keyword extraction. We apply our method to keyword analysis and language learning. Evaluation shows that keyword extraction benefits from cross-language information and language learners benefit from our keywords in reading comprehension test.
Cite
CITATION STYLE
Huang, C. C., Chen, M. H., & Yang, P. C. (2015). Bilingual Keyword Extraction and its Educational Application. In Proceedings of the 2nd Workshop on Natural Language Processing Techniques for Educational Applications, NLP-TEA 2015 - in conjunction with the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2015 (pp. 43–48). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w15-4407
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