Automated Scoring of Nonnative Speech Using the "SpeechRater"? v. 5.0 Engine. Research Report. ETS RR-18-10

Autor/inn/en	Chen, Lei; Zechner, Klaus; Yoon, Su-Youn; Evanini, Keelan; Wang, Xinhao; Loukina, Anatassia; Tap, Jidong; Davis, Lawrence; Lee, Chong Min; Ma, Min; Mundowsky, Robert; Lu, Chi; Leong, Chee Wee; Gyawali, Binod
Titel	Automated Scoring of Nonnative Speech Using the "SpeechRater"? v. 5.0 Engine. Research Report. ETS RR-18-10
Quelle	In: ETS Research Report Series, (2018), (33 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2330-8516
Schlagwörter	Computer Assisted Testing; Scoring; Test Scoring Machines; Speech Tests; Automation; Pronunciation; Suprasegmentals; Vocabulary; Grammar; Natural Language Processing; Communicative Competence (Languages); Oral Language; Non English Speaking + Suchen Sie Ihr Suchwort? Bewertung; Sprechtest; Aussprache; Wortschatz; Grammatik; Natürliche Sprache; Communicative competence; Languages; Kommunikative Kompetenz; Sprache; Oral interpretation; Mündlicher Sprachgebrauch
Abstract	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 "SpeechRater"? automated scoring service since its initial version was deployed in 2006. While most aspects of this R&D work have been published in various venues in recent years, no comprehensive account of the current state of SpeechRater has been provided since the initial publications following its first operational use in 2006. After a brief review of recent related work by other institutions, we summarize the main features and feature classes that have been developed and introduced into SpeechRater in the past 10 years, including features measuring aspects of pronunciation, prosody, vocabulary, grammar, content, and discourse. Furthermore, new types of filtering models for flagging nonscorable spoken responses are described, as is our new hybrid way of building linear regression scoring models with improved feature selection. Finally, empirical results for SpeechRater 5.0 (operationally deployed in 2016) are provided. (As Provided).
Anmerkungen	Educational Testing Service. Rosedale Road, MS19-R Princeton, NJ 08541. Tel: 609-921-9000; Fax: 609-734-5410; e-mail: RDweb@ets.org; Web site: https://www.ets.org/research/policy_research_reports/ets
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01