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  1. University of Computer Studies, Yangon
  2. Conferences

Robot Language Acquisition Based on Sequence-to-Sequence Learning

http://hdl.handle.net/20.500.12678/0000005000
d773788e-d9bf-4863-a973-9a9e8e873cbe
656729ae-2ef0-4ccb-9d44-801bda5b81f2
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proceeding_total-pages-461-472.pdf proceeding_total-pages-461-472.pdf (17707 Kb)
Publication type Article
Upload type Publication
Title
Robot Language Acquisition Based on Sequence-to-Sequence Learning
en
Publication date 2017-02-16
Authors
Thu, Ye Kyaw
Takabuchi, Kenta
Fukai, Kaisei
Iwahashi, Naoto
Kunishima, Takeo
Description
Language acquisition for robot is a challenging topicin the artificial intelligence research area and essentialfor natural communication between robot and human.In this paper, we proposed language acquisition directlyfrom motion video and user’s utterance with multimodalmachine learnings without prior knowledge of linguisticor language specific information. Translation betweenacquired conceptual structure and syllable sequences ofa human language (e.g. Japanese language) was carriedout by applying machine translation methodologiesincluding sequence-to-sequence learning. Experimentson language acquisition with 500 videos show Encoder-Decoder, Encoder-Decoder with Attention models areable to achieve equal translation performance of baselinesthat was prepared manually.
Journal articles
Fifteenth International Conference on Computer Applications (ICCA 2017)
Conference papers
Books/reports/chapters
Thesis/dissertations
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