A Mutual Information-based Approach to Quantifying Logography in Japanese and Sumerian

Noah Hermalin, 2023. Proceedings of the Workshop on Computation and Written Language (CAWL 2023).

Measures how logographic a writing system is by the mutual information between its signs and the words they write, applied to Japanese and Sumerian.

Voynich ManuscriptArticledoi: 10.18653/v1/2023.cawl-1.12Checked against the original0

What it's used for here

The datasets survey proposes the same measure for placing the manuscript's script among writing-system types.

Cited by on this site 1 record

1 methods surveys

Linguistics

SRC

Cite it

Hermalin, N. (2023). A Mutual Information-based Approach to Quantifying Logography in Japanese and Sumerian. Proceedings of the Workshop on Computation and Written Language (CAWL 2023). https://doi.org/10.18653/v1/2023.cawl-1.12

@article{hermalin2023mutual,
  author = {Hermalin, Noah},
  title = {A Mutual Information-based Approach to Quantifying Logography in Japanese and Sumerian},
  journal = {Proceedings of the Workshop on Computation and Written Language (CAWL 2023)},
  year = {2023},
  doi = {10.18653/v1/2023.cawl-1.12},
  url = {https://doi.org/10.18653/v1/2023.cawl-1.12}
}

TY  - JOUR
TI  - A Mutual Information-based Approach to Quantifying Logography in Japanese and Sumerian
AU  - Hermalin, Noah
PY  - 2023
JO  - Proceedings of the Workshop on Computation and Written Language (CAWL 2023)
DO  - 10.18653/v1/2023.cawl-1.12
UR  - https://doi.org/10.18653/v1/2023.cawl-1.12
ER  -

Hermalin, Noah. “A Mutual Information-based Approach to Quantifying Logography in Japanese and Sumerian.” Proceedings of the Workshop on Computation and Written Language (CAWL 2023) (2023). https://doi.org/10.18653/v1/2023.cawl-1.12.