Less is More: The Effectiveness of Compact Typological Language Representations
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866909804685950976 |
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| author | Ng, York Hay Hoang, Phuong Hanh Lee, En-Shiun Annie |
| author_facet | Ng, York Hay Hoang, Phuong Hanh Lee, En-Shiun Annie |
| contents | Linguistic feature datasets such as URIEL+ are valuable for modelling cross-lingual relationships, but their high dimensionality and sparsity, especially for low-resource languages, limit the effectiveness of distance metrics. We propose a pipeline to optimize the URIEL+ typological feature space by combining feature selection and imputation, producing compact yet interpretable typological representations. We evaluate these feature subsets on linguistic distance alignment and downstream tasks, demonstrating that reduced-size representations of language typology can yield more informative distance metrics and improve performance in multilingual NLP applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_20129 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Less is More: The Effectiveness of Compact Typological Language Representations Ng, York Hay Hoang, Phuong Hanh Lee, En-Shiun Annie Computation and Language Linguistic feature datasets such as URIEL+ are valuable for modelling cross-lingual relationships, but their high dimensionality and sparsity, especially for low-resource languages, limit the effectiveness of distance metrics. We propose a pipeline to optimize the URIEL+ typological feature space by combining feature selection and imputation, producing compact yet interpretable typological representations. We evaluate these feature subsets on linguistic distance alignment and downstream tasks, demonstrating that reduced-size representations of language typology can yield more informative distance metrics and improve performance in multilingual NLP applications. |
| title | Less is More: The Effectiveness of Compact Typological Language Representations |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2509.20129 |