Bibliographic record
Abstract
Lexical-Realizational Functional Grammar (LRFG) is a theoretical framework that couples Lexical-Functional Grammar with the realizational, morpheme-based approach to word-formation of Distributed Morphology (DM). LRFG has been developed to take advantage of LFG’s strengths in modelling nonconfigurationality and DM’s strengths in modelling complex non-fusional morphology and polysynthesis. We present some initial attempts at an LRFG theory and formalization of morphosemantics, i.e. the morphology–semantics interface. We distinguish the domain of morphosemantics from the more general domain of lexical semantics: morphosemantics encompasses all and only aspects of meaning that affect the mapping from a semantic representation to a phonological representation. We focus on the phenomenon of blocking and, in particular, where blocking fails and a regular and irregular form are both possible. Modern approaches to this type of blocking face the following challenge: certain approaches essentially predict blocking to always happen, while others predict it to never happen. We focus on the former case: contemporary realizational approaches predict blocking to occur in situations where it does not, yielding a potential undergeneration of forms.We claim that the correct realizational approach to blocking requires reference to compositional semantics and show how this can be done in LRFG. This correctly accounts for the distribution of four putative irregular/regular pairs that we take as case studies: divinity/divineness, unkempt/uncombed, people/persons, and brethren/brothers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.049 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".