Automated Scoring of Nonnative Speech Using the SpeechRaterSM v. 5.0 Engine

L Chen, K Zechner, SY Yoon, K Evanini… - ETS Research …, 2018 - Wiley Online Library
This research report provides an overview of the R&D efforts at Educational Testing Service
related to its capability for automated scoring of nonnative spontaneous speech with the …

Automatic assessment of syntactic complexity for spontaneous speech scoring

S Bhat, SY Yoon - Speech Communication, 2015 - Elsevier
Expanding paradigms of language learning and testing prompt the need for developing
objective methods of assessing language proficiency from spontaneous speech. In this …

[PDF][PDF] Vocabulary profile as a measure of vocabulary sophistication

SY Yoon, S Bhat, K Zechner - Proceedings of the seventh …, 2012 - aclanthology.org
This study presents a method that assesses ESL learners' vocabulary usage to improve an
automated scoring system of spontaneous speech responses by non-native English …

Features measuring fluency and pronunciation

CN Hsieh, K Zechner, X Xi - Automated speaking assessment, 2019 - taylorfrancis.com
This chapter discusses components of speech delivery as conceptualized in second
language (L2) acquisition research and in the field of language testing and assessment, and …

[PDF][PDF] Application of Structural Events Detected on ASR Outputs for Automated Speaking Assessment.

L Chen, SY Yoon - INTERSPEECH, 2012 - isca-archive.org
We investigated features reflecting utterance structure and disfluency profile to improve the
automated scoring of spontaneous speech responses by non-native speakers of English …

Refinement of utterance fluency feature extraction and automated scoring of L2 oral fluency with dialogic features

R Matsuura, S Suzuki, M Saeki… - 2022 Asia-Pacific …, 2022 - ieeexplore.ieee.org
We propose an automated scoring method of fluency that is compatible with second
language dialogic responses. Human judgements of L2 oral fluency in dialogue tasks has …

[HTML][HTML] Gauging the validity of machine learning-based temporal feature annotation to measure fluency in speech automatically

R Matsuura, S Suzuki, K Takizawa, M Saeki… - Research Methods in …, 2025 - Elsevier
Abstract Machine learning (ML) techniques allow for automatically annotating various
temporal speech features, particularly by the cascade connection of ML-based modules …

[PDF][PDF] Assessment of ESL learners' syntactic competence based on similarity measures

SY Yoon, S Bhat - Proceedings of the 2012 joint conference on …, 2012 - aclanthology.org
This study presents a novel method that measures English language learners' syntactic
competence towards improving automated speech scoring systems. In contrast to most …

Automated assessment of English-learner writing

H Yannakoudakis - 2013 - cl.cam.ac.uk
In this thesis, we investigate automated assessment (AA) systems of free text that
automatically analyse and score the quality of writing of learners of English as a second (or …

Computer-implemented systems and methods for scoring of spoken responses based on part of speech patterns

SY Yoon, S Bhat - US Patent 9,514,109, 2016 - Google Patents
Systems and methods are provided for scoring a speech sample. Automatic speech
recognition is performed on the speech sample using an automatic speech recognition sys …