Analyzing Learner Understanding of Novel L2 Vocabulary

Rebecca  Knowles; Adithya  Renduchintala; Philipp Koehn; Jason  Eisner

doi:10.18653/v1/K16-1013

Analyzing Learner Understanding of Novel L2 Vocabulary

Rebecca Knowles, Adithya Renduchintala, Philipp Koehn, Jason Eisner

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

Abstract

In this work, we explore how learners can infer second-language noun meanings in the context of their native language. Motivated by an interest in building interactive tools for language learning, we collect data on three word-guessing tasks, analyze their difficulty, and explore the types of errors that novice learners make. We train a log-linear model for predicting our subjects’ guesses of word meanings in varying kinds of contexts. The model’s predictions correlate well with subject performance, and we provide quantitative and qualitative analyses of both human and model performance.

Original language	English
Title of host publication	Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL)
Place of Publication	Berlin, Germany
Publisher	Association for Computational Linguistics
Pages	126-135
Number of pages	10
ISBN (Print)	978-1-945626-19-7
DOIs	https://doi.org/10.18653/v1/K16-1013
Publication status	Published - 12 Aug 2016
Event	20th SIGNLL Conference on Computational Natural Language Learning - Berlin, Germany Duration: 11 Aug 2016 → 12 Aug 2016 http://www.conll.org/2016

Conference

Conference	20th SIGNLL Conference on Computational Natural Language Learning
Abbreviated title	CoNLL
Country/Territory	Germany
City	Berlin
Period	11/08/16 → 12/08/16
Internet address	http://www.conll.org/2016

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K16-1013Final published version, 246 KBLicence: Creative Commons: Attribution (CC-BY)

http://aclweb.org/anthology/K/K16/K16-1013Licence: Creative Commons: Attribution (CC-BY)

Cite this

@inproceedings{d440be164fb84a87bacdcb2b5f3b8331,

title = "Analyzing Learner Understanding of Novel L2 Vocabulary",

abstract = "In this work, we explore how learners can infer second-language noun meanings in the context of their native language. Motivated by an interest in building interactive tools for language learning, we collect data on three word-guessing tasks, analyze their difficulty, and explore the types of errors that novice learners make. We train a log-linear model for predicting our subjects{\textquoteright} guesses of word meanings in varying kinds of contexts. The model{\textquoteright}s predictions correlate well with subject performance, and we provide quantitative and qualitative analyses of both human and model performance.",

author = "Rebecca Knowles and Adithya Renduchintala and Philipp Koehn and Jason Eisner",

year = "2016",

month = aug,

day = "12",

doi = "10.18653/v1/K16-1013",

language = "English",

isbn = "978-1-945626-19-7",

pages = "126--135",

booktitle = "Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL)",

publisher = "Association for Computational Linguistics",

note = "20th SIGNLL Conference on Computational Natural Language Learning, CoNLL ; Conference date: 11-08-2016 Through 12-08-2016",

url = "http://www.conll.org/2016",

}

Knowles, R, Renduchintala, A, Koehn, P & Eisner, J 2016, Analyzing Learner Understanding of Novel L2 Vocabulary. in Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL). Association for Computational Linguistics, Berlin, Germany, pp. 126-135, 20th SIGNLL Conference on Computational Natural Language Learning, Berlin, Berlin, Germany, 11/08/16. https://doi.org/10.18653/v1/K16-1013

Analyzing Learner Understanding of Novel L2 Vocabulary. / Knowles, Rebecca ; Renduchintala, Adithya ; Koehn, Philipp et al.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL). Berlin, Germany: Association for Computational Linguistics, 2016. p. 126-135.

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

TY - GEN

T1 - Analyzing Learner Understanding of Novel L2 Vocabulary

AU - Knowles, Rebecca

AU - Renduchintala, Adithya

AU - Koehn, Philipp

AU - Eisner, Jason

PY - 2016/8/12

Y1 - 2016/8/12

N2 - In this work, we explore how learners can infer second-language noun meanings in the context of their native language. Motivated by an interest in building interactive tools for language learning, we collect data on three word-guessing tasks, analyze their difficulty, and explore the types of errors that novice learners make. We train a log-linear model for predicting our subjects’ guesses of word meanings in varying kinds of contexts. The model’s predictions correlate well with subject performance, and we provide quantitative and qualitative analyses of both human and model performance.

AB - In this work, we explore how learners can infer second-language noun meanings in the context of their native language. Motivated by an interest in building interactive tools for language learning, we collect data on three word-guessing tasks, analyze their difficulty, and explore the types of errors that novice learners make. We train a log-linear model for predicting our subjects’ guesses of word meanings in varying kinds of contexts. The model’s predictions correlate well with subject performance, and we provide quantitative and qualitative analyses of both human and model performance.

U2 - 10.18653/v1/K16-1013

DO - 10.18653/v1/K16-1013

M3 - Conference contribution

SN - 978-1-945626-19-7

SP - 126

EP - 135

BT - Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL)

PB - Association for Computational Linguistics

CY - Berlin, Germany

T2 - 20th SIGNLL Conference on Computational Natural Language Learning

Y2 - 11 August 2016 through 12 August 2016

ER -

Analyzing Learner Understanding of Novel L2 Vocabulary

Abstract

Conference

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