Code and data for the paper Language complexity in human and machine translation: a preliminary study presented at the HiT-IT 2023 conference.
Authors: Gábor Recski and Fanni Kádár
To install dependencies, run
python setup.py install
The four text samples described in the paper are in the samples directory.
To calculate readability and lexical diversity stats in the paper on all samples, run
python stats.py -p 1984 ted3 fgm DC567 -s 4
Code for some of the preprocessing steps and for calculating the statistics of syllable counts in
English and Hungarian presented in the paper are made available in the directories preprocessing
and syllable_stats. These are not documented, but feel free to reach out to the first author if you need help.
If you use or describe the data or software in this package, please cite the following paper:
@inproceedings{Recski:2023b,
title = "Language complexity in human and machine translation: a preliminary study",
author = "Recski, G{\'a}bor and K{\'a}d{\'a}r, Fanni",
booktitle = "Proceedings of the International Conference on Human-Informed Translation and Interpreting Technology (HiT-IT 2023)",
year = "2023",
address = "Naples, Italy"
}