“ETRI’s AI for making a better tomorrow” Episode 2 – AI-based Language Learning Technology

In this episode of AI for Good Perspectives, key experts from ETRI introduce an artificially intelligent language tutor that can listen, talk and teach based on educational contents. They will discuss how high-performing speech recognition and dialogue processing technologies allow the AI tutor to effectively achieve its goals.

IN THIS EPISODE, WE WILL DISCUSS…
(1) Speech recognition technologies enable Listening: The AI tutor recognizes non-native English spontaneous speech “as is” with grammatical and idiomatic errors, provides feedback on the pronunciation and fluency.

(2) Dialogue processing technologies enable Talking: The AI tutor handles on-topic conversations with task-oriented dialog technology, and covers off-topic conversations with a hybrid open domain dialogue technology. It also gives feedbacks with grammar checking and error correction, and suggests proper expression for student’s reference.

This AI for Good Perspectives episode is part the “ETRI’s AI for making a better tomorrow” series.

WHAT IS AI FOR GOOD PERSPECTIVES?
AI for Good Perspectives are interviews, viewpoints and presentations from the AI for Good community, moderated by professional journalists and available on demand.

Speakers, Panelists and Moderators

  • JIN-XIA HUANG
    JIN-XIA HUANG
    Senior Researcher
    ETRI
    As a senior researcher at ETRI, Dr. Jin-Xia Huang has been involved in projects such as machine translation and dialogue for language learning since she joined ETRI in 2008. The dialogue system and machine translation systems she participated in the development have been technical transferred to several companies and are being used in practice. Her current research focuses mainly on dialogue system which based on reading comprehension for language learning.
  • MIRAN CHOI
    MIRAN CHOI
    Principal Researcher
    ETRI
    Dr. Miran Choi is a Principal Researcher and Standardization Specialist at ETRI. She is a Rapporteur of Q24/SG16, Human Factors Group. She is an editor of ITU-T F.746.3 and its series on Intelligent Question Answering System Standards. She is interested in Standardization of AI related fields, specifically Natural Language Processing and Machine Translation.

Date

15 Oct 2020

Time

Geneva; 16:30-17:00, Seoul
09:30 - 10:00
Sessions

Topics

Education

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