aykhara / EvaluationDataset

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Evaluation Dataset for Japanese Lexical Simplification

Notes:

Sentences selected from BCCWJ, so they are not published.
Here, program which extract sentence is published.
This program is made by Python 2.7 .

Procedure:

git clone https://github.com/KodairaTomonori/EvaluationDataset
cd Script
python get\sent_from_BCCWJ.py xxxx/BCCWJ/SUW/
python extract_sentence_from_location.py

other Notes:

substitution ranking is in substitutes folder.
subs.csv: target word list
ave_rank.csv and mle_rank.csv: Substitutes in these file is sorted by average score and MLE score.
Cmma is indicated different rank, and space is indicated same rank.


Affiliation:
Tokyo Metropolitan University
System Design - Komachi Lab
Name: Kodaira Tomonori
E-mail: kodaira-tomonori-at-ed.tmu.ac.jp


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License:MIT License


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Language:Python 100.0%