Improve the Chatbot Performance for the DB-CALL System Using a Hybrid Method and a Domain Corpus [Konferenzbericht] Paper presented at the EUROCALL 2018 Conference (26th, Jyväskylä, Finland, 2018).

Autor/inn/en	Huang, Jin-Xia; Kwon, Oh-Woog; Lee, Kyung-Soon; Kim, Young-Kil
Titel	Improve the Chatbot Performance for the DB-CALL System Using a Hybrid Method and a Domain Corpus [Konferenzbericht] Paper presented at the EUROCALL 2018 Conference (26th, Jyväskylä, Finland, 2018).
Quelle	(2018), (7 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Computer Assisted Instruction; Second Language Learning; Second Language Instruction; Computer Mediated Communication; Translation; Computational Linguistics; Teaching Methods; Dialogs (Language); English (Second Language); Intelligent Tutoring Systems; Foreign Countries; South Korea + Suchen Sie Ihr Suchwort? Computer based training; Computerunterstützter Unterricht; Zweitsprachenerwerb; Fremdsprachenunterricht; Computerkonferenz; Linguistics; Computerlinguistik; Teaching method; Lehrmethode; Unterrichtsmethode; Dialog; Dialogs; Dialogue; Dialogues; English as second language; English; Second Language; Englisch als Zweitsprache; Intelligentes Tutorsystem; Ausland; Korea; Republik
Abstract	This paper presents a chatbot for a Dialogue-Based Computer Assisted Language Learning (DB-CALL) system. The chatbot helps users learn language via free conversations. To improve the chatbot performance, this paper adopts a Neural Machine Translation (NMT) engine to combine with an existing search-based engine, and also extracts a small domain corpus for the topics of the DB-CALL system so that the chabot's responses could be more related to the conversation topics. As a result of user evaluations, the performance of the chatbot was improved by using hybrid methods, achieving performance comparable to existing systems. The automatically extracted domain corpus has little help or even declines the chatbot performance as an auxiliary module of the DB-CALL system. [For the complete volume of short papers, see ED590612.] (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01