Automatic essay scoring systems are both overstable and oversensitive: explaining why and proposing defenses
Abstract Deep-learning based Automatic Essay Scoring (AES) systems are being actively
used in various high-stake applications in education and testing. However, little research …
used in various high-stake applications in education and testing. However, little research …
Computer-assisted assessment of phonetic fluency in a second language: a longitudinal study of Japanese learners of French
S Detey, L Fontan, M Le Coz, S Jmel - Speech Communication, 2020 - Elsevier
Automatic second language (L2) speech fluency assessment has been one of the ultimate
goals of several projects aiming at designing Computer-Assisted Pronunciation Training …
goals of several projects aiming at designing Computer-Assisted Pronunciation Training …
Complementary strengths? Evaluation of a hybrid human-machine scoring approach for a test of oral academic English
L Davis, S Papageorgiou - Assessment in Education: Principles …, 2021 - Taylor & Francis
Human raters and machine scoring systems potentially have complementary strengths in
evaluating language ability; specifically, it has been suggested that automated systems …
evaluating language ability; specifically, it has been suggested that automated systems …
Kvantitativa perspektiv på L2-tal på olika färdighetsnivåer
M Kautonen, M Kuronen - Folkmålsstudier, 2021 - journal.fi
The aim of this study is to investigate differences in the amount (the occurrence rate) of
second language (L2) traits at different proficiency levels in spoken L2 Finland-Swedish. In …
second language (L2) traits at different proficiency levels in spoken L2 Finland-Swedish. In …
A universal ordinal regression for assessing phoneme-level pronunciation
S Mao, F Soong, Y Xia, J Tien - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
The efficacy and robustness of Ordinal Regression (OR) in assessing speech pronunciation
for language learning at phrase level has been shown before. However, for assessing …
for language learning at phrase level has been shown before. However, for assessing …
AES systems are both overstable and oversensitive: Explaining why and proposing defenses
Deep-learning based Automatic Essay Scoring (AES) systems are being actively used by
states and language testing agencies alike to evaluate millions of candidates for life …
states and language testing agencies alike to evaluate millions of candidates for life …
Summary and outlook on automated speech scoring
K Zechner - Automated speaking assessment, 2019 - taylorfrancis.com
From an assessment perspective, the main criteria used for evaluating spoken responses in
language tests with human scoring also apply when automated scores are used, ie, score …
language tests with human scoring also apply when automated scores are used, ie, score …
Improving pronunciation assessment via ordinal regression with anchored reference samples
Sentence level pronunciation assessment is important for Computer Assisted Language
Learning (CALL). Traditional speech pronunciation assessment, based on the Goodness of …
Learning (CALL). Traditional speech pronunciation assessment, based on the Goodness of …
[PDF][PDF] Lukiolaisten käsitykset ja heidän antamansa palaute suullisen kielitaidon automaattisesta arvioinnista
A von Zansen, MSJAR HILDÉN, M Sneck - LINGUAPEDA 2021, 2021 - helda.helsinki.fi
This study analyzed L2 Finnish learners' perceptions of automated assessment of oral
language skills. The data consisted of questionnaire responses (n= 58) collected by the …
language skills. The data consisted of questionnaire responses (n= 58) collected by the …
Machine learning and applied linguistics
S Vajjala - arXiv preprint arXiv:1803.09103, 2018 - arxiv.org
This entry introduces the topic of machine learning and provides an overview of its
relevance for applied linguistics and language learning. The discussion will focus on giving …
relevance for applied linguistics and language learning. The discussion will focus on giving …