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Incorporation and Pseudo-Incorporation in Syntax

2017· reference-entry· en· W2623896922 on OpenAlexaff
Diane Massam

Bibliographic record

VenueOxford Research Encyclopedia of Linguistics · 2017
Typereference-entry
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNounLinguisticsVerbPredicate (mathematical logic)Computer scienceTransitive relationSyntaxNatural language processingArtificial intelligenceMathematicsPhilosophyProgramming language

Abstract

fetched live from OpenAlex

Abstract Noun incorporation (NI) is a grammatical construction where a nominal, usually bearing the semantic role of an object, has been incorporated into a verb to form a complex verb or predicate. Traditionally, incorporation was considered to be a word formation process, similar to compounding or cliticization. The fact that a syntactic entity (object) was entering into the lexical process of word formation was theoretically problematic, leading to many debates about the true nature of NI as a lexical or syntactic process. The analytic complexity of NI is compounded by the clear connections between NI and other processes such as possessor raising, applicatives, and classification systems and by its relation with case, agreement, and transitivity. In some cases, it was noted that no morpho-phonological incorporation is discernable beyond perhaps adjacency and a reduced left periphery for the noun. Such cases were termed pseudo noun incorporation, as they exhibit many properties of NI, minus any actual morpho-phonological incorporation. On the semantic side, it was noted that NI often correlates with a particular interpretation in which the noun is less referential and the predicate is more general. This led semanticists to group together all phenomena with similar semantics, whether or not they involve morpho-phonological incorporation. The role of cases of morpho-phonological NI that do not exhibit this characteristic semantics, i.e., where the incorporated nominal can be referential and the action is not general, remains a matter of debate. The interplay of phonology, morphology, syntax, and semantics that is found in NI, as well as its lexical overtones, has resulted in a wide range of analyses at all levels of the grammar. What all NI constructions share is that according to various diagnostics, a thematic element, usually correlating with an internal argument, functions to a lesser extent as an independent argument and instead acts as part of a predicate. In addition to cases of incorporation between verbs and internal arguments, there are also some cases of incorporation of subjects and adverbs, which remain less well understood.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.034
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.804
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.085
GPT teacher head0.335
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

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Citations11
Published2017
Admission routes1
Has abstractyes

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