Semantic Space of Parts of Speech
Parts of speech categorization is understood in the European linguistic tradition as crisp categorization, which is also reflected in corpus linguistics, where each disambiguated token is assigned exactly one POS. However, the assigned categories are largely determined by arbitrary decisions distilled into annotation manuals. Since some words stand between parts of speech in their semantics or typical syntax, and some parts of speech are closer to each other than others, POS categorization seems inherently fuzzy. We analyze this fuzziness using word2vec embeddings, training a neural network to reduce their high dimensionality to three dimensions relevant for determining parts of speech. T...
| Authors | Jiří Milička, Ivan Kraus, Arnold Stanovský et al. |
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| Primary category | cs.CL |
| Published | 15 August 2026 |
| Last updated at source | 15 August 2026 |
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