A Dependency Treebank of Spoken Second Language English

Kristopher Kyle; Masaki Eguchi; Aaron Miller; Theodore Sither

A Dependency Treebank of Spoken Second Language English

Kristopher Kyle, Masaki Eguchi, Aaron Miller, Theodore Sither

Department of English Language and Literature

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

4 Citations (Scopus)

Abstract

In this paper, we introduce a dependency treebank of spoken second language (L2) English that is annotated with part of speech (Penn POS) tags and syntactic dependencies (Universal Dependencies). We then evaluate the degree to which the use of this treebank as training data affects POS and UD annotation accuracy for L1 web texts, L2 written texts, and L2 spoken texts as compared to models trained on L1 texts only.

Original language	English
Title of host publication	BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings
Editors	Ekaterina Kochmar, Jill Burstein, Andrea Horbach, Ronja Laarmann-Quante, Nitin Madnani, Anais Tack, Victoria Yaneva, Zheng Yuan, Torsten Zesch
Publisher	Association for Computational Linguistics (ACL)
Pages	39-45
Number of pages	7
ISBN (Electronic)	9781955917834
Publication status	Published - 2022
Event	17th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2022 - Seattle, United States Duration: 2022 Jul 15 → …

Publication series

Name	BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings

Conference

Conference	17th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2022
Country/Territory	United States
City	Seattle
Period	22/7/15 → …

Bibliographical note

Publisher Copyright:
© 2022 Association for Computational Linguistics.

All Science Journal Classification (ASJC) codes

Language and Linguistics
Software
Linguistics and Language

Cite this

Kyle, K., Eguchi, M., Miller, A., & Sither, T. (2022). A Dependency Treebank of Spoken Second Language English. In E. Kochmar, J. Burstein, A. Horbach, R. Laarmann-Quante, N. Madnani, A. Tack, V. Yaneva, Z. Yuan, & T. Zesch (Eds.), BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings (pp. 39-45). (BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings). Association for Computational Linguistics (ACL).

Kyle, Kristopher ; Eguchi, Masaki ; Miller, Aaron et al. / A Dependency Treebank of Spoken Second Language English. BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings. editor / Ekaterina Kochmar ; Jill Burstein ; Andrea Horbach ; Ronja Laarmann-Quante ; Nitin Madnani ; Anais Tack ; Victoria Yaneva ; Zheng Yuan ; Torsten Zesch. Association for Computational Linguistics (ACL), 2022. pp. 39-45 (BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings).

@inproceedings{2bb39d75b54b4635b6b1504f020026b6,

title = "A Dependency Treebank of Spoken Second Language English",

abstract = "In this paper, we introduce a dependency treebank of spoken second language (L2) English that is annotated with part of speech (Penn POS) tags and syntactic dependencies (Universal Dependencies). We then evaluate the degree to which the use of this treebank as training data affects POS and UD annotation accuracy for L1 web texts, L2 written texts, and L2 spoken texts as compared to models trained on L1 texts only.",

author = "Kristopher Kyle and Masaki Eguchi and Aaron Miller and Theodore Sither",

note = "Publisher Copyright: {\textcopyright} 2022 Association for Computational Linguistics.; 17th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2022 ; Conference date: 15-07-2022",

year = "2022",

language = "English",

series = "BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings",

publisher = "Association for Computational Linguistics (ACL)",

pages = "39--45",

editor = "Ekaterina Kochmar and Jill Burstein and Andrea Horbach and Ronja Laarmann-Quante and Nitin Madnani and Anais Tack and Victoria Yaneva and Zheng Yuan and Torsten Zesch",

booktitle = "BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings",

}

Kyle, K, Eguchi, M, Miller, A & Sither, T 2022, A Dependency Treebank of Spoken Second Language English. in E Kochmar, J Burstein, A Horbach, R Laarmann-Quante, N Madnani, A Tack, V Yaneva, Z Yuan & T Zesch (eds), BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings. BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings, Association for Computational Linguistics (ACL), pp. 39-45, 17th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2022, Seattle, United States, 22/7/15.

A Dependency Treebank of Spoken Second Language English. / Kyle, Kristopher; Eguchi, Masaki; Miller, Aaron et al.
BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings. ed. / Ekaterina Kochmar; Jill Burstein; Andrea Horbach; Ronja Laarmann-Quante; Nitin Madnani; Anais Tack; Victoria Yaneva; Zheng Yuan; Torsten Zesch. Association for Computational Linguistics (ACL), 2022. p. 39-45 (BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings).

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

TY - GEN

T1 - A Dependency Treebank of Spoken Second Language English

AU - Kyle, Kristopher

AU - Eguchi, Masaki

AU - Miller, Aaron

AU - Sither, Theodore

PY - 2022

Y1 - 2022

N2 - In this paper, we introduce a dependency treebank of spoken second language (L2) English that is annotated with part of speech (Penn POS) tags and syntactic dependencies (Universal Dependencies). We then evaluate the degree to which the use of this treebank as training data affects POS and UD annotation accuracy for L1 web texts, L2 written texts, and L2 spoken texts as compared to models trained on L1 texts only.

AB - In this paper, we introduce a dependency treebank of spoken second language (L2) English that is annotated with part of speech (Penn POS) tags and syntactic dependencies (Universal Dependencies). We then evaluate the degree to which the use of this treebank as training data affects POS and UD annotation accuracy for L1 web texts, L2 written texts, and L2 spoken texts as compared to models trained on L1 texts only.

UR - http://www.scopus.com/inward/record.url?scp=85138433910&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85138433910&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85138433910

T3 - BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings

SP - 39

EP - 45

BT - BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings

A2 - Kochmar, Ekaterina

A2 - Burstein, Jill

A2 - Horbach, Andrea

A2 - Laarmann-Quante, Ronja

A2 - Madnani, Nitin

A2 - Tack, Anais

A2 - Yaneva, Victoria

A2 - Yuan, Zheng

A2 - Zesch, Torsten

PB - Association for Computational Linguistics (ACL)

T2 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2022

Y2 - 15 July 2022

ER -

Kyle K, Eguchi M, Miller A, Sither T. A Dependency Treebank of Spoken Second Language English. In Kochmar E, Burstein J, Horbach A, Laarmann-Quante R, Madnani N, Tack A, Yaneva V, Yuan Z, Zesch T, editors, BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings. Association for Computational Linguistics (ACL). 2022. p. 39-45. (BEA 2022 - 17th Workshop on Innovative Use of NLP for Building Educational Applications, Proceedings).

A Dependency Treebank of Spoken Second Language English

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

Other files and links

Fingerprint

Cite this