Topology of Syntax Networks across Languages
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866915189529509888 |
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| author | Soria-Postigo, Juan Seoane, Luis F |
| author_facet | Soria-Postigo, Juan Seoane, Luis F |
| contents | Syntax connects words to each other in very specific ways. Two words are syntactically connected if they depend
directly on each other. Syntactic connections usually happen within a sentence. Gathering all those connection
across several sentences gives birth to syntax networks. Earlier studies in the field have analysed the structure and
properties of syntax networks trying to find clusters/phylogenies of languages that share similar network features.
The results obtained in those studies will be put to test in this thesis by increasing both the number of languages
and the number of properties considered in the analysis. Besides that, language networks of particular languages
will be inspected in depth by means of a novel network analysis [25]. Words (nodes of the network) will be clustered
into topological communities whose members share similar features. The properties of each of these communities
will be thoroughly studied along with the Part of Speech (grammatical class) of each word. Results across different
languages will also be compared in an attempt to discover universally preserved structural patterns across syntax
networks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_06724 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Topology of Syntax Networks across Languages Soria-Postigo, Juan Seoane, Luis F Computation and Language Syntax connects words to each other in very specific ways. Two words are syntactically connected if they depend directly on each other. Syntactic connections usually happen within a sentence. Gathering all those connection across several sentences gives birth to syntax networks. Earlier studies in the field have analysed the structure and properties of syntax networks trying to find clusters/phylogenies of languages that share similar network features. The results obtained in those studies will be put to test in this thesis by increasing both the number of languages and the number of properties considered in the analysis. Besides that, language networks of particular languages will be inspected in depth by means of a novel network analysis [25]. Words (nodes of the network) will be clustered into topological communities whose members share similar features. The properties of each of these communities will be thoroughly studied along with the Part of Speech (grammatical class) of each word. Results across different languages will also be compared in an attempt to discover universally preserved structural patterns across syntax networks. |
| title | Topology of Syntax Networks across Languages |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2503.06724 |