Predicting the Proficiency Level of Nonnative Hebrew Authors

Isabelle Nguyen; Shuly Wintner

Predicting the Proficiency Level of Nonnative Hebrew Authors

Department of Computer Science

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

Abstract

We present classifiers that can accurately predict the proficiency level of nonnative Hebrew learners. This is important for practical (mainly educational) applications, but the endeavor also sheds light on the features that support the classification, thereby improving our understanding of learner language in general, and transfer effects from Arabic, French, and Russian on nonnative Hebrew in particular.

Original language	English
Title of host publication	2022 Language Resources and Evaluation Conference, LREC 2022
Editors	Nicoletta Calzolari, Frederic Bechet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Helene Mazo, Jan Odijk, Stelios Piperidis
Publisher	European Language Resources Association (ELRA)
Pages	5356-5365
Number of pages	10
ISBN (Electronic)	9791095546726
State	Published - 2022
Event	13th International Conference on Language Resources and Evaluation Conference, LREC 2022 - Marseille, France Duration: 20 Jun 2022 → 25 Jun 2022

Publication series

Name	2022 Language Resources and Evaluation Conference, LREC 2022

Conference

Conference	13th International Conference on Language Resources and Evaluation Conference, LREC 2022
Country/Territory	France
City	Marseille
Period	20/06/22 → 25/06/22

Bibliographical note

Publisher Copyright:
© European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0.

Keywords

Hebrew
Learner corpora
Proficiency

ASJC Scopus subject areas

Language and Linguistics
Library and Information Sciences
Linguistics and Language
Education

Cite this

Nguyen, I., & Wintner, S. (2022). Predicting the Proficiency Level of Nonnative Hebrew Authors. In N. Calzolari, F. Bechet, P. Blache, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, J. Odijk, & S. Piperidis (Eds.), 2022 Language Resources and Evaluation Conference, LREC 2022 (pp. 5356-5365). (2022 Language Resources and Evaluation Conference, LREC 2022). European Language Resources Association (ELRA).

Nguyen, Isabelle ; Wintner, Shuly. / Predicting the Proficiency Level of Nonnative Hebrew Authors. 2022 Language Resources and Evaluation Conference, LREC 2022. editor / Nicoletta Calzolari ; Frederic Bechet ; Philippe Blache ; Khalid Choukri ; Christopher Cieri ; Thierry Declerck ; Sara Goggi ; Hitoshi Isahara ; Bente Maegaard ; Joseph Mariani ; Helene Mazo ; Jan Odijk ; Stelios Piperidis. European Language Resources Association (ELRA), 2022. pp. 5356-5365 (2022 Language Resources and Evaluation Conference, LREC 2022).

@inproceedings{5204e910545843b980139593c6f66cc5,

title = "Predicting the Proficiency Level of Nonnative Hebrew Authors",

abstract = "We present classifiers that can accurately predict the proficiency level of nonnative Hebrew learners. This is important for practical (mainly educational) applications, but the endeavor also sheds light on the features that support the classification, thereby improving our understanding of learner language in general, and transfer effects from Arabic, French, and Russian on nonnative Hebrew in particular.",

keywords = "Hebrew, Learner corpora, Proficiency",

author = "Isabelle Nguyen and Shuly Wintner",

note = "Publisher Copyright: {\textcopyright} European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0.; 13th International Conference on Language Resources and Evaluation Conference, LREC 2022 ; Conference date: 20-06-2022 Through 25-06-2022",

year = "2022",

language = "English",

series = "2022 Language Resources and Evaluation Conference, LREC 2022",

publisher = "European Language Resources Association (ELRA)",

pages = "5356--5365",

editor = "Nicoletta Calzolari and Frederic Bechet and Philippe Blache and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Helene Mazo and Jan Odijk and Stelios Piperidis",

booktitle = "2022 Language Resources and Evaluation Conference, LREC 2022",

}

Nguyen, I & Wintner, S 2022, Predicting the Proficiency Level of Nonnative Hebrew Authors. in N Calzolari, F Bechet, P Blache, K Choukri, C Cieri, T Declerck, S Goggi, H Isahara, B Maegaard, J Mariani, H Mazo, J Odijk & S Piperidis (eds), 2022 Language Resources and Evaluation Conference, LREC 2022. 2022 Language Resources and Evaluation Conference, LREC 2022, European Language Resources Association (ELRA), pp. 5356-5365, 13th International Conference on Language Resources and Evaluation Conference, LREC 2022, Marseille, France, 20/06/22.

Predicting the Proficiency Level of Nonnative Hebrew Authors. / Nguyen, Isabelle; Wintner, Shuly.
2022 Language Resources and Evaluation Conference, LREC 2022. ed. / Nicoletta Calzolari; Frederic Bechet; Philippe Blache; Khalid Choukri; Christopher Cieri; Thierry Declerck; Sara Goggi; Hitoshi Isahara; Bente Maegaard; Joseph Mariani; Helene Mazo; Jan Odijk; Stelios Piperidis. European Language Resources Association (ELRA), 2022. p. 5356-5365 (2022 Language Resources and Evaluation Conference, LREC 2022).

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

TY - GEN

T1 - Predicting the Proficiency Level of Nonnative Hebrew Authors

AU - Nguyen, Isabelle

AU - Wintner, Shuly

N1 - Publisher Copyright: © European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0.

PY - 2022

Y1 - 2022

N2 - We present classifiers that can accurately predict the proficiency level of nonnative Hebrew learners. This is important for practical (mainly educational) applications, but the endeavor also sheds light on the features that support the classification, thereby improving our understanding of learner language in general, and transfer effects from Arabic, French, and Russian on nonnative Hebrew in particular.

AB - We present classifiers that can accurately predict the proficiency level of nonnative Hebrew learners. This is important for practical (mainly educational) applications, but the endeavor also sheds light on the features that support the classification, thereby improving our understanding of learner language in general, and transfer effects from Arabic, French, and Russian on nonnative Hebrew in particular.

KW - Hebrew

KW - Learner corpora

KW - Proficiency

UR - http://www.scopus.com/inward/record.url?scp=85144385870&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85144385870

T3 - 2022 Language Resources and Evaluation Conference, LREC 2022

SP - 5356

EP - 5365

BT - 2022 Language Resources and Evaluation Conference, LREC 2022

A2 - Calzolari, Nicoletta

A2 - Bechet, Frederic

A2 - Blache, Philippe

A2 - Choukri, Khalid

A2 - Cieri, Christopher

A2 - Declerck, Thierry

A2 - Goggi, Sara

A2 - Isahara, Hitoshi

A2 - Maegaard, Bente

A2 - Mariani, Joseph

A2 - Mazo, Helene

A2 - Odijk, Jan

A2 - Piperidis, Stelios

PB - European Language Resources Association (ELRA)

T2 - 13th International Conference on Language Resources and Evaluation Conference, LREC 2022

Y2 - 20 June 2022 through 25 June 2022

ER -

Nguyen I, Wintner S. Predicting the Proficiency Level of Nonnative Hebrew Authors. In Calzolari N, Bechet F, Blache P, Choukri K, Cieri C, Declerck T, Goggi S, Isahara H, Maegaard B, Mariani J, Mazo H, Odijk J, Piperidis S, editors, 2022 Language Resources and Evaluation Conference, LREC 2022. European Language Resources Association (ELRA). 2022. p. 5356-5365. (2022 Language Resources and Evaluation Conference, LREC 2022).

Predicting the Proficiency Level of Nonnative Hebrew Authors

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this