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Record W4319772631 · doi:10.31234/osf.io/cbvjr

Word length and frequency effects on text reading are highly similar in 12 alphabetic languages

2023· preprint· en· W4319772631 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMachine Learning in Bioinformatics
Canadian institutionsMcMaster University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsWord lists by frequencyEye movementComputer scienceLinguisticsWord (group theory)Fixation (population genetics)Universality (dynamical systems)Reading (process)Word lengthNatural language processingArtificial intelligencePopulation

Abstract

fetched live from OpenAlex

One of the most robust findings in research on eye-movement control in reading is that shorter and more frequent words are recognized faster and skipped more often than longer and less frequent words. These benchmark effects of word length and frequency are reported in all languages studied to date and inform computational models of eye-movements in reading. This paper asks whether each of these effects is similar in magnitude across languages. We analyzed 12 typologically diverse alphabetic languages from the Multilingual Eye-Movement Corpus (MECO). The languages varied substantially in their word length and frequency distributions as a function of orthographic conventions and the morpho-syntactic type. Despite this variability, the effects of word length and frequency on fixation durations and skipping rate were highly comparable in size between the languages. This finding suggests a high degree of cross-linguistic universality in the readers' behavioral response to visual and linguistic complexity (indexed by word length) and the amount of familiarity with the word (indexed by word frequency). It also suggests feasibility of, and provides empirical data for, generalizable cross-linguistic computational models of eye-movement control in reading.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.001
Research integrity0.0010.001
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 head0.010
GPT teacher head0.271
Teacher spread0.261 · 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

Quick stats

Citations4
Published2023
Admission routes2
Has abstractyes

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