8月24日(火)9:00-10:00に、Zoomを利用したオンライン講演会を開催いたします。講演者は、これまでDuolingo, 楽天技術研究所, Baidu Japanなどでご活躍され現在Octanove Labsを運営されている萩原正人氏です。
使用言語は英語、参加費は無料です。参加される方は、下記リンク先のホームページに記載のフォームより、前日23日の17時までに事前申込をお願いいたします。
Title: Machine Learning for Language Learning
Speaker: Masato Hagiwara, Ph.D.
Abstract: Language education and assessment are a data- and labor-intensive process which requires creation and analysis of a large amount of linguistic data. In this talk, we are going to discuss some of the ways in which machine learning (ML) and natural language processing (NLP) can automate the process of creating, calibrating, grading, and generating education materials and learner production for language learning. Specifically, we’ll discuss 1) readability assessment and difficulty estimation of test items and reading materials with traditional ML and deep neural networks, 2) analysis of grammatical structures with pretrained masked language models (BERT), and 3) grammar-controlled generation of language materials with pretrained causal language models (GPT). We show that recent advancement of deep NLP and ML technologies have continuously pushed the boundary of what’s possible in assisting humans to learn language more effectively.
Time: Tuesday, August 24, 2021, 09:00–10:00 (JST)
Location: Online (Zoom)
Language: English
To register, follow the link of the form on this announcement:
http://www.celese.sci.waseda.ac.jp/node/1513