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Decompositional View of Word Form and Its Pedagogical Implication: From the Perspective of Word Formation Reference Books

2010· article· en· W1948856762 on OpenAlexvenueno aff
Jin’an Hou

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsMental lexiconLinguisticsVocabularyHumanitiesLexiconWord formationPerspective (graphical)PsychologyArtPhilosophyVisual arts

Abstract

fetched live from OpenAlex

The vocabulary of a foreign language is always challenging for L2 learners, especially those morphologically complex words. How do these words stored in the mental lexicon? Over years of research, psycholinguists put forward two influential approaches: the decompositional approach and the full-listing approach. This paper studies the application of the decompositional approach of word form from the perspective of word formation reference books available in China. Questionnaires concerning learners’ methods of learning English vocabulary were send out first, an interview with a smaller number of participants was conducted to provide a deeper insight into the common merits and defects of word formation reference books and provide pedagogical implications for the future vocabulary instruction in China. Key words: decompositional approach, mental lexicon, pedagogical implications Resume: Le vocabulaire d’une langue etrangere est toujours dur pour les apprenants d’une deuxieme langue etrangere, notamment pour les mots morphologiquement complexes. Comment stocker ces mots dans le lexique mental ? Apres des annees de recherches, les psycholinguistes mettent en avant deux approches influentes : l’approche decompositionnelle et l’approche de plein-liste. Le present article etudie l’application de l’approche decompositionnelle de la formation du mot dans la perspective des ouvrages de reference sur la formation du mot disponibles en Chine. Les questionnaires concernant les methodes d’apprentissage du vocabulaire anglais sont distribues d’abord, puis un interview avec un petit nombre de participants est effectue pour offrir une connaissance plus profonde sur les merites et les defauts communs des ouvrages de reference sur la formation du mot et donner des implications pedagogiques a la future instruction du vocabulaire en Chine. Mots-Cles: approche decompositionnelle, lexique mental, implications pedagogiques 摘 要:對於二語學習者來說,辭彙部分總是很有挑戰性的,特別是那些在構詞上比較複雜的辭彙。這些複雜的辭彙是如何儲存在大腦中的?經過多年的研究,心理語言學家們提出了兩個有影響力的說法:分裂構詞和整體呈現。本文從中國市場上已有的構詞法參考書出發來研究構詞法在英語教學中的應用。首先,我發出了一份針對學習者如何學習英語辭彙的問卷,其次,進行了一場只有小部分問卷回答者參與的採訪,採訪的目的是為了對構詞法參考書的作用有更深入的認識,並且為中國未來的英語辭彙教學提供一些方向。 關鍵詞:構詞;大腦辭彙;教學啟示

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.

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)0.000
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 score0.910
Threshold uncertainty score0.997

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)0.0040.000

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 head0.079
GPT teacher head0.428
Teacher spread0.350 · 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 designObservational
Domainnot available
GenreEmpirical

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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Citations0
Published2010
Admission routes1
Has abstractyes

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