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A Comparative Taxonomy of Errors Made by Iranian Undergraduate Learners of English

2012· article· en· W1626318694 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.

venuePublished in a venue whose home country is Canada.
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

VenueCanadian social science · 2012
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsTaxonomy (biology)Contrastive analysisPsychologyLinguisticsHumanitiesPersianPhilosophy

Abstract

fetched live from OpenAlex

This study tried to identify and investigate errors made by Persian learners of English according to comparative taxonomy which categorizes errors based on the source of errors such as interlingual, developmental, ambiguous and other errors. To conduct this study, 40 Persian learners of English were selected according to their Grade Point Average from Shiraz Azad University. Elicitation test was used for data collection. Writings of the students were analyzed and the errors were extracted and categorized based on comparative taxonomy. The results showed that the majority of the errors can be attributed to developmental, other, ambiguous and interlingual errors respectively. It proved that majority of errors were those which are common among native speakers of English and foreign leaners of English. Interlingual errors constitute the lowest number of errors. This finding rejected positive transfer from Persian learner’s mother tongue, Farsi. Key words: Language learning; Writing; Contrastive analysis; Error analysis; EFL; ESL Resume Cette etude a tente d’identifier et d’enqueter sur les erreurs commises par les apprenants de l’anglais persans selon la taxonomie comparative qui categorise les erreurs sur la base de la source des erreurs telles que des erreurs interlingues, developpement, ambigue et d’autres. Pour realiser cette etude, 40 apprenants de l’anglais persans ont ete selectionnes en fonction de leur moyenne ponderee cumulative de Shiraz Universite Azad. essai Elicitation a ete utilise pour la collecte des donnees. Ecrits des etudiants ont ete analysees et les erreurs ont ete extraites et classees en fonction de la taxonomie comparative. les resultats ont montre que la majorite des erreurs peuvent etre attribuees a developpement, d’autres, les erreurs ambigus et interlinguistique, respectivement. Il s’est avere que la majorite des erreurs sont ceux qui sont frequents chez les locuteurs natifs de inclines parmi anglais et etrangers de l’anglais. erreurs interlingues constituent le plus petit nombre d’erreurs. Cette constatation a rejete un transfert positif de la mere persane apprenant la langue, le persan. Mots-cles: Apprentissage des langues; L’ecriture, L’analyse contrastive; Analyse des erreurs; EFL; ESL

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.040
GPT teacher head0.315
Teacher spread0.275 · 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