Choosing features for classifying multiword expressions

• URL: http://arxiv.org/abs/2605.11779v1
• Date: Tue, 12 May 2026 08:48:31 GMT
• Title: Choosing features for classifying multiword expressions
• Abstract summary: Multiword expressions (MWEs) are a heterogeneous set with a glaring need for classifications.<n>Not all features are equal in terms of how reliably MWEs can be assigned to classes.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Multiword expressions (MWEs) are a heterogeneous set with a glaring need for classifications. Designing a satisfactory classification involves choosing features. In the case of MWEs, many features are a priori available. Not all features are equal in terms of how reliably MWEs can be assigned to classes. Accordingly, resulting classifications may be more or less fruitful for computational use. I outline an enhanced classification. In order to increase its suitability for many languages, I use previous works taking into account various languages.

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