Abstract
Many English words contain historical roots that do not occur as free morphemes (e.g., nov in innovate, dict in verdict). These words often retain an appearance of compositionality and are associated with effects on lexical processing (Pastizzo & Feldman, 2004; Taft & Forster, 1975), but frequently their roots are difficult to identify without recourse to historical etymologies, and they are semantically opaque and unproductive. More practically, although such words are prominent in academic vocabulary, they are often difficult to learn, and instruction inspired by their apparent morphological structure has yielded mixed results (McKeown et al., 2018). We explore these psycholinguistic and educational challenges through a dynamic view of the mental lexicon (Libben, 2022), understanding morphological resources as gradient, emergent, and contextually adaptable for meaning making. We quantified bound roots’ morphological families by training an unsupervised parser on a lexicon approximating that of an educated English user, and then assessing polysemy and coherence of roots’ meanings, using vector semantic representations. Testing against behavioral data supported the validity of these measures, suggesting new ways of measuring the properties of bound roots independent from etymological data and demonstrating sensitivity even to unproductive morphological structure, that can support academic vocabulary development and meaning-making.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 224-252 |
| Number of pages | 29 |
| Journal | Mental Lexicon |
| Volume | 19 |
| Issue number | 2 |
| DOIs | |
| State | Published - Dec 31 2024 |
All Science Journal Classification (ASJC) codes
- Language and Linguistics
- Linguistics and Language
- Cognitive Neuroscience