Determination of language families using deep learning
Fuente:
arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866912386133262336 |
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| author | Lerner, Peter B. |
| author_facet | Lerner, Peter B. |
| contents | We use a c-GAN (convolutional generative adversarial) neural network to analyze transliterated text fragments of extant, dead comprehensible, and one dead non-deciphered (Cypro-Minoan) language to establish linguistic affinities. The paper is agnostic with respect to translation and/or deciphering. However, there is hope that the proposed approach can be useful for decipherment with more sophisticated neural network techniques. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_02393 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Determination of language families using deep learning Lerner, Peter B. Computation and Language I.2.7 We use a c-GAN (convolutional generative adversarial) neural network to analyze transliterated text fragments of extant, dead comprehensible, and one dead non-deciphered (Cypro-Minoan) language to establish linguistic affinities. The paper is agnostic with respect to translation and/or deciphering. However, there is hope that the proposed approach can be useful for decipherment with more sophisticated neural network techniques. |
| title | Determination of language families using deep learning |
| topic | Computation and Language I.2.7 |
| url | https://arxiv.org/abs/2409.02393 |