In computational lexicography, why does parsing a corpus to automatically extract candidate headwords often yield inaccurate frequency counts for morphologically complex languages such as Turkish?

💡 Explanation

Agglutination in languages like Turkish creates many surface forms from a single root, causing a basic frequency count of headwords to inflate the occurrence of these surface forms as if they were independent lexical items; because the morphological analyzer treats each inflected word as distinct, therefore the frequency of the root is underestimated, rather than semantic analysis being the primary issue.

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