Why does the speech recognition accuracy of agglutinative languages degrade rapidly when trained on limited data?

💡 Explanation

The recognition accuracy degrades because morphological productivity, via processes like affixation and compounding, generates a vast number of word forms from a limited set of morphemes. Therefore, the system encounters many unseen words during testing, rather than relying on familiar words, which reduces recognition accuracy significantly.

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