@inproceedings{koiso-etal-2014-design,
title = "Design and development of an {RDB} version of the Corpus of Spontaneous {J}apanese",
author = "Koiso, Hanae and
Den, Yasuharu and
Nishikawa, Ken{'}ya and
Maekawa, Kikuo",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}`14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "https://preview.aclanthology.org/Ingest-2025-COMPUTEL/L14-1371/",
pages = "1471--1476",
abstract = "In this paper, we describe the design and development of a new version of the Corpus of Spontaneous Japanese (CSJ), which is a large-scale spoken corpus released in 2004. CSJ contains various annotations that are represented in XML format (CSJ-XML). CSJ-XML, however, is very complicated and suffers from some problems. To overcome this problem, we have developed and released, in 2013, a relational database version of CSJ (CSJ-RDB). CSJ-RDB is based on an extension of the segment and link-based annotation scheme, which we adapted to handle multi-channel and multi-modal streams. Because this scheme adopts a stand-off framework, CSJ-RDB can represent three hierarchical structures at the same time: inter-pausal-unit-top, clause-top, and intonational-phrase-top. CSJ-RDB consists of five different types of tables: segment, unaligned-segment, link, relation, and meta-information tables. The database was automatically constructed from annotation files extracted from CSJ-XML by using general-purpose corpus construction tools. CSJ-RDB enables us to easily and efficiently conduct complex searches required for corpus-based studies of spoken language."
}
Markdown (Informal)
[Design and development of an RDB version of the Corpus of Spontaneous Japanese](https://preview.aclanthology.org/Ingest-2025-COMPUTEL/L14-1371/) (Koiso et al., LREC 2014)
ACL