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Record W1987359006 · doi:10.1080/23273798.2014.940983

Perceptual functionality of morphological redundancy in Choguita Rarámuri (Tarahumara)

2014· article· en· W1987359006 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLanguage Cognition and Neuroscience · 2014
Typearticle
Languageen
FieldPsychology
TopicCategorization, perception, and language
Canadian institutionsnot available
FundersUniversity of California, San Diego
KeywordsRedundancy (engineering)PerceptionComputer scienceArtificial intelligencePattern recognition (psychology)PsychologyNeuroscienceOperating system

Abstract

fetched live from OpenAlex

AbstractA recent cross-linguistic survey suggests redundant marking of the same meaning by multiple morphological markers to be more widely attested than commonly believed. While this phenomenon (referred to as multiple (or extended) exponence in the morphological literature) has been examined within the context of morphological theory and diachronic research, little work has investigated the processing of morphological redundancy and synchronic motivations for its use. This paper reports a field speech-in-noise experiment to assess perceptual functionality of redundant markers in an agglutinating, morphologically complex language of Northern Mexico, Choguita Rarámuri (Tarahumara). This language possesses morphological patterns in which a meaning is redundantly cued by two consecutive suffixes, and where the second (outer) suffix is optional. We show that the effect of adding the optional suffix varies with the overall likelihood of recognising its meaning in context: cue redundancy helps when recognition of the cued meaning is difficult but hurts when recognition of the cued meaning is easy. The results are interpreted as support for the operation of Grice's Maxim of Clarity in spoken word recognition and/or production: the listener expects the speaker to say only as much as is necessary to transmit the message.Keywords: redundancymorphologymultiple exponenceGricean inferencemorphological processing AcknowledgementsWe are grateful to our Choguita Rarámuri teachers for their collaboration and patience. This paper benefited from feedback on several versions of this paper from two anonymous reviewers and Florian Jaeger. For valuable discussions, we would like to thank Roger Levy, Scott DeLancey and audience members at the American International Morphology Meeting (UMass), the International Conference on the Mental Lexicon (Université de Montréal/McGill University), the UCSD and U of Oregon Linguistic Fieldwork Working Groups. Any errors and omissions are our sole responsibility.FundingThis work was supported by the Documenting Endangered Languages (DEL) Program/National Science Foundation (NSF) [under grant no. 1160672] and a Hellman Fellowship (2011–2012) awarded to Gabriela Caballero.Notes1. Where 'cues' are understood as the dimensions (phonological, morphological and syntactic) within the formal (expressive) level that allow hearers to infer the functional content of utterances, plus any functional or extralinguistic content that may affect the inference process. For instance, animacy is considered a lexical semantic cue to agentivity (see Bates & MacWhinney, Citation1989).2. Data are transcribed using the International Phonetic Alphabet. Tone is left unmarked. Abbreviations used include: appl – applicative; caus – causative; cer – certainty; fut – future; nom – nominative; pass – passive; pst – past; poss – possessive; pot – potential; sg – singular.3. It is worth pointing out that recognition accuracy is agreed to be a function of predictability of what is being recognised given the available context and acoustic/sensory robustness of the set of cues to what is being recognised (e.g., Broadbent, Citation1967; Norris & McQueen, Citation2008).4. This may obtain more broadly for cue coalition. We expect the results to extend beyond morphological cues. For instance, phonetic cues associated with 'clear speech' might hurt recognition of a meaning that is predictable in context (instead being interpreted as a cue that some other message is intended, as in sarcasm ('He is [s:oʊ:] smart') or exasperation at the listener: 'I … do … not … know' vs. [ə˜ə˜ə˜], Hawkins & Smith, Citation2001).5. We assume that the order of recognition usually tracks order of occurrence in the speech signal though some exponents might be harder to recognise than others or might be superimposed (fully or partially) on the other exponents, e.g., tone.Additional informationFundingFunding: This work was supported by the Documenting Endangered Languages (DEL) Program/National Science Foundation (NSF) [under grant no. 1160672] and a Hellman Fellowship (2011–2012) awarded to Gabriela Caballero.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.947
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.033
GPT teacher head0.316
Teacher spread0.283 · 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