A Japanese Corpus of Many Specialized Domains (JCMS)

Overview

The JCMS consists of 32,310 sentences annotated with word boundary and POS tag information for 27 specialized domains. The corpus adopted two segmentation criteria (and corresponding POS tag sets):

• short unit word (SUW), which was designed by the NINJAL, and
• SUW-SC, which we defined by separating conjugate words into stems and conjugation endings.

The corpus statistics is as follows.

Source	ID	Domain	Domain	#Sent.
ASPEC	AGR	Agriculture, forestry, fisheries	農林水産	900
ASPEC	BIO	Biology	生物科学	1,000
ASPEC	CHE-B	Basic chemstry	基礎化学	1,700
ASPEC	CHE-E	Chemical eng.	化学工学	750
ASPEC	CHE-I	Chemical industry	化学工業	950
ASPEC	CON	Construction eng.	建設工学	1,700
ASPEC	ELC	Electrical eng.	電気工学	2,000
ASPEC	ENE	Energy eng.	エネルギー工学	1,360
ASPEC	ENV	Environmental eng.	環境工学	870
ASPEC	ETH	Earth and space eng.	地球惑星科学	1,000
ASPEC	INF	Information eng.	情報工学	900
ASPEC	MAN	Eng. management	経営工学	1,500
ASPEC	MEC	Mechanical eng.	機械工学	1,750
ASPEC	MED	Medicine	医学	1,300
ASPEC	MIN	Mining eng.	鉱山工学	640
ASPEC	NUC	Nuculear eng.	原子力工学	800
ASPEC	PHY	Physics	物理学	1,000
ASPEC	SYS	System control eng.	システム・制御工学	1,500
ASPEC	THM	Thermal eng.	熱工学	1,500
ASPEC	TRA	Traffic and transportation eng.	運輸交通工学	1,430
NTCIR PatentMT	PAT	Patent	特許明細書	1,000
NTCIR MedNLP2	EMR	Electronic medical record	電子カルテ	1,362
BCCWJ	LAW	Law (OL)	法律	1,060
BCCWJ	DIE	Diet minute (OM)	国会議事録	650
BCCWJ	PRM	PR magazine (OP)	広報紙	1,238
BCCWJ	TBK	Textbook (OT)	教科書	1,650
BCCWJ	VRS	Verse (OV)	韻文	1,000

Data Sources

The JCMS consists of sentences from the following corpora.

• ASPEC http://lotus.kuee.kyoto-u.ac.jp/ASPEC/
• BCCWJ https://pj.ninjal.ac.jp/corpus_center/bccwj/subscription.html
• NTCIR-9 PatentMT test collection http://research.nii.ac.jp/ntcir/permission/ntcir-9/perm-ja-PatentMT.html
• NTCIR-11 MedNLP2 test collection http://research.nii.ac.jp/ntcir/permission/ntcir-11/perm-ja-MedNLP.html

To use the JCMS, it is required to sign the data use agreements and obtain the original data of BCCWJ, ASPEC, and NTCIR-9 PatentMT and NTCIR-11 MedNLP2 test collectins.

Requirements

• The original data of ASPEC, BCCWJ, NTCIR-9 PatentMT test collection, and NTCIR-11 MedNLP2 test collection
• Python 3
• sed
• awk
• zenhan https://pypi.org/project/zenhan/0.5/

Files

+-- data_source      ... Directory for placing original data
+-- script           ... Scripts for generating annotated data
+-- suw              ... SUW anntation data
| +-- mask           ... Annotated data with masked words 
| +-- proc           ... Processed annotated data will be placed here.
+-- suw-sc           ... SUW-SC annotation data
| +-- proc           ... Processed annotated data will be placed here.
+-- text             ... Raw text data
  +-- org            ... Raw text data extracted from original data will be placed here.
  +-- proc           ... Processed text data will be placed here.
  +-- tmp            ... Temporary directory

How to Use

The following steps generate the complete JCMS data from the original text data and masked JCMS data. This requires 300MB of disk space, but step 6 deletes 200MB of data.

1. Create aliases in data_source

   ln -s /path/to/ASPEC          data_source/ASPEC
   ln -s /path/to/BCCWJ          data_source/BCCWJ
   ln -s /path/to/NTCIR_PatentMT data_source/NTCIR_PatentMT
   ln -s /path/to/NTCIR_MedNLP2  data_source/NTCIR_MedNLP2
   

2. Extract text from original data and save it in text/org

   ./script/extract_text_ASPEC.sh
   ./script/extract_text_BCCWJ.sh
   ./script/extract_text_PatentMT.sh
   ./script/extract_text_MedNLP.sh
   

3. Generate SUW-SC annotated data from text and masked data, and save it in suw-sc/proc

   ./script/restore_suw-sc_data.sh
   

4. Generate SUW annotated data from SUW-SC data and save it in suw/proc

   ./script/restore_suw_data.sh
   

5. Generate raw text data from SUW-SC data and save it in text/proc.
   The resulting data differs from the data in text/org w.r.t.
   character normalization and character error correction.

   ./script/extract_text_from_suw-sc_data.sh
   

6. Remove unnecessary data (Optional)

   rm -r text/tmp/*
   

Contact

Shohei Higashiyama
National Institute of Information and Communications Technology (NICT), Seika-cho, Kyoto, Japan
shohei.higashiyama [at] nict.go.jp

Acknowledgements

Part of this work was supported by the collaborative research between NICT and Fujitsu. We used the Asian Scientific Paper Excerpt Corpus, NITCIR-9 PatentMT test collection, NTCIR-11 MedNLP-2 test collection, and Balanced Corpus of Contemporary Written Japanese to construct the JCMS.

Citation

Please cite the following paper.

@inproceedings{higashiyama2022,
    title = {A Japanese Corpus of Many Specialized Domains for Word Segmentation and Part-of-Speech Tagging}
    author = {Higashiyama, Shohei and Ideuchi, Masao and Utiyama, Masao and Oida, Yoshiaki and Sumita, Eiichiro}
    booktitle = {Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP)}
    month = Nov,
    year = 2022,
}