On Natural Language Stringsets, Senses, and Generative Capacity.

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Title: On Natural Language Stringsets, Senses, and Generative Capacity.
Authors: Radzinski, Daniel (AUTHOR) radzinski@gmail.com
Source: Computational Linguistics. Jun2026, Vol. 52 Issue 2, p831-840. 10p.
Subjects: Semantics, Mathematical proofs, Formal languages, Language & languages, Lexicology, Natural languages
Abstract: It is demonstrated that the proofs given in prominent and well-established weak generative capacity arguments for natural language are flawed, due to unexpected interpretations of strings. However, once unique representations of lexical semantic senses form part of such intersection-based proofs, the arguments stand. [ABSTRACT FROM AUTHOR]
Copyright of Computational Linguistics is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: On Natural Language Stringsets, Senses, and Generative Capacity.
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  Data: It is demonstrated that the proofs given in prominent and well-established weak generative capacity arguments for natural language are flawed, due to unexpected interpretations of strings. However, once unique representations of lexical semantic senses form part of such intersection-based proofs, the arguments stand. [ABSTRACT FROM AUTHOR]
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  Label:
  Group: Ab
  Data: <i>Copyright of Computational Linguistics is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1162/COLI.a.21
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        Text: English
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      – SubjectFull: Formal languages
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      – SubjectFull: Language & languages
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      – TitleFull: On Natural Language Stringsets, Senses, and Generative Capacity.
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              Text: Jun2026
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