SMOC corpus: A large-scale Japanese spontaneous multimodal one-on-one chat-talk corpus for dialog systems

Yamazaki, Yoshihiro; Chiba, Yuya; Nose, Takeru; Ito, Akinori

doi:10.1250/ast.42.210

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…Spontaneous dialogue data continues to be collected as it is recognized to be crucial. Several Japanese spoken language corpora have been constructed in prior studies; e.g., the Corpus of Spontaneous Japanese (CSJ) (Maekawa, 2003), Nagoya University Conversation Corpus (NUCC) (Fujimura et al, 2012), SMOC corpus (Yamazaki et al, 2020). (Koiso et al, 2022) in the Table 1 also compiled a list of Japanese spoken language resources that includes spontaneous dialogue corpora.…”

Section: Japanese Spoken Language Resourcesmentioning

confidence: 99%

UD_Japanese-CEJC: Dependency Relation Annotation on Corpus of Everyday Japanese Conversation

Omura,

Matsuda,

Asahara

et al. 2023

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue

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In this study, we have developed Universal Dependencies (UD) resources for spoken Japanese in the Corpus of Everyday Japanese Conversation (CEJC). The CEJC is a large corpus of spoken language that encompasses various everyday conversations in Japanese, and includes word delimitation and part-ofspeech annotation. We have newly annotated Long Word Unit delimitation and Bunsetsu (Japanese phrase)-based dependencies, including Bunsetsu boundaries, for CEJC. The UD of Japanese resources was constructed in accordance with hand-maintained conversion rules from the CEJC with two types of word delimitation, part-of-speech tags and Bunsetsu-based syntactic dependency relations. Furthermore, we examined various issues pertaining to the construction of UD in the CEJC by comparing it with the written Japanese corpus and evaluating UD parsing accuracy.

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Section: Japanese Spoken Language Resourcesmentioning

confidence: 99%