Code and data for the paper "Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation" published in NAACL 2016.
Please see README in dat.
You need to install Vowpal Wabbit for classification.
The main script is src/count_statistics.py.
The following arguments are required to load the data:
--src ja --tgt en --mt_file dat/processed/monologue.mt.en.tok.tagged --si_file dat/processed/monologue.si.en.tok.tagged --src_file dat/processed/monologue.mt.ja.tok.all --mt_align_file dat/processed/monologue.mt.align --si_align dat/processed/monologue.si.align
You can then specify the analysis you want to perform. For example, to compare passive voice used in Interpretese and Translationese, run
PYTHONPATH=./lib python src/count_statistics.py --src ja --tgt en --mt_file dat/processed/monologue.mt.en.tok.tagged --si_file dat/processed/monologue.si.en.tok.tagged --src_file dat/processed/monologue.mt.ja.tok.all --mt_align_file dat/processed/monologue.mt.align --si_align dat/processed/monologue.si.align --passive
Use --help to see other types of analysis supported.
If you use the code or the dataset, please cite
@inproceedings{he2016interpretese,
title={Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation},
author={He He and Jorday Boyd-Graber and Hal {Daum\'e III}},
booktitle={NAACL}
year=2016
}