Prediction of learner native language by writing error pattern

Brendan Flanagan; Chengjiu Yin; Takahiko Suzuki; Sachio Hirokawa

doi:10.1007/978-3-319-20609-7_9

Prediction of learner native language by writing error pattern

Brendan Flanagan, Chengjiu Yin, Takahiko Suzuki, Sachio Hirokawa

Research Institute for Information Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

The native language of a foreign language learner can have an effect on the errors they make because of similarities or differences between the two languages. In order to provide effective error prediction and correction for nonnative English language learners it is important to identify their specific characteristic error patterns that are influenced by their native language. In this paper, we examine analyzing error detection scores to predict the native language of an English language learner. 15 categories of error detection scores are combined to create an error prediction score vector representation of each sentence. The native language is predicted by training an SVM classifier with the error vectors. The results are compared to an SVM classifier trained with just word representations of the learner writing sentences.

Original language	English
Title of host publication	Learning and Collaboration Technologies - 2nd International Conference, LCT 2015 Held as Part of HCI International 2015, Proceedings
Editors	Panayiotis Zaphiris, Andri Ioannou
Publisher	Springer Verlag
Pages	87-96
Number of pages	10
ISBN (Print)	9783319206080
DOIs	https://doi.org/10.1007/978-3-319-20609-7_9
Publication status	Published - 2015
Event	2nd International Conference on Learning and Collaboration Technologies, LCT 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015 - Los Angeles, United States Duration: Aug 2 2015 → Aug 7 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9192
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	2nd International Conference on Learning and Collaboration Technologies, LCT 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015
Country/Territory	United States
City	Los Angeles
Period	8/2/15 → 8/7/15

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-20609-7_9

Cite this

Flanagan, B., Yin, C., Suzuki, T., & Hirokawa, S. (2015). Prediction of learner native language by writing error pattern. In P. Zaphiris, & A. Ioannou (Eds.), Learning and Collaboration Technologies - 2nd International Conference, LCT 2015 Held as Part of HCI International 2015, Proceedings (pp. 87-96). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9192). Springer Verlag. https://doi.org/10.1007/978-3-319-20609-7_9

Prediction of learner native language by writing error pattern. / Flanagan, Brendan; Yin, Chengjiu; Suzuki, Takahiko et al.
Learning and Collaboration Technologies - 2nd International Conference, LCT 2015 Held as Part of HCI International 2015, Proceedings. ed. / Panayiotis Zaphiris; Andri Ioannou. Springer Verlag, 2015. p. 87-96 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9192).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Flanagan, B, Yin, C, Suzuki, T & Hirokawa, S 2015, Prediction of learner native language by writing error pattern. in P Zaphiris & A Ioannou (eds), Learning and Collaboration Technologies - 2nd International Conference, LCT 2015 Held as Part of HCI International 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9192, Springer Verlag, pp. 87-96, 2nd International Conference on Learning and Collaboration Technologies, LCT 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015, Los Angeles, United States, 8/2/15. https://doi.org/10.1007/978-3-319-20609-7_9

Flanagan B, Yin C, Suzuki T, Hirokawa S. Prediction of learner native language by writing error pattern. In Zaphiris P, Ioannou A, editors, Learning and Collaboration Technologies - 2nd International Conference, LCT 2015 Held as Part of HCI International 2015, Proceedings. Springer Verlag. 2015. p. 87-96. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-20609-7_9

Flanagan, Brendan ; Yin, Chengjiu ; Suzuki, Takahiko et al. / Prediction of learner native language by writing error pattern. Learning and Collaboration Technologies - 2nd International Conference, LCT 2015 Held as Part of HCI International 2015, Proceedings. editor / Panayiotis Zaphiris ; Andri Ioannou. Springer Verlag, 2015. pp. 87-96 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Prediction of learner native language by writing error pattern

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