meaning2form

This repository contains code accompanying the paper: Meaning to Form: Measuring Systematicity as Information (Pimentel et al., ACL 2019). It is a study about the arbitrariness of the sign and its systematicity.

Install Dependencies

Create a conda environment with

$ source config/conda.sh

And install your appropriate version of PyTorch.

Get data

Information about used datasets and where to get them from is available in: NorthEuraLex and CELEX.

Parse data

$ python data_pipe/parse_celex.py --data celex
$ python data_pipe/parse_celex.py --data celex --reverse
$ python data_pipe/parse_northeuralex.py --data northeuralex

Train models

$ python learn_pipe/train.py --data <data> --context <context>

Or train all at once:

$ python learn_pipe/train_multi.sh

Context can be:

• none: No context used
• word2vec: Word2Vec context used
• pos: Grammar class context used
• mixed: Grammar class and Word2vec contexts used

Get Phonesthemes

Extract possible phonesthemes and test them by running:

$ python analysis_pipe/extract_phonesthemes.py --data celex --n-permuts 100000
$ python analysis_pipe/extract_phonesthemes.py --data celex --n-permuts 100000 --reverse
$ python analysis_pipe/analyse_phonesthemes.py --n-permuts 100000

Extra Information

Citation

If this code or the paper were usefull to you, consider citing it:

@inproceedings{pimentel-etal-2019-meaning,
    title = "Meaning to Form: Measuring Systematicity as Information",
    author = "Pimentel, Tiago and
    McCarthy, Arya D. and
    Blasi, Dami\'{a}n E. and
    Roark, Brian and
    Cotterell, Ryan",
    booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = aug,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/1906.05906",
}

Dependencies

This project was tested with libraries:

numpy==1.11.3
pandas==0.23.4
scikit-learn==0.21.2
gensim==3.7.3
matplotlib==2.0.2
seaborn==0.9.0
tqdm==4.32.1
torch==1.1.0

Contact

To ask questions or report problems, please open an issue.