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Record W2765290957

Word Order Transfer from L1 to L2 in Second Language Acquisition - A study on Norwegian and Polish L2 learners of English

2017· dissertation· en· W2765290957 on OpenAlexaboutno aff
Agnieszka Donal

Bibliographic record

VenueBIBSYS Brage (BIBSYS (Norway)) · 2017
Typedissertation
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsNorwegianWord orderSecond-language acquisitionLinguisticsComputer scienceFirst languagePsychologyNatural language processingPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The following is an English thesis study conducted on Norwegian, Polish and Canadian (control group) high school students. The study’s aim is to contribute to research claiming our mother tongue plays a role in and affects the mistakes we make while acquiring a second language like English. In this case, the author will look at the extent to which mistakes occur in assessing word order by Polish and Norwegian learners of English. To accomplish that, the three groups were asked to make acceptability judgements where they had to decide a grade of acceptability for a list of English sentences. Some of them were acceptable English sentences, some of them had a word order which corresponded to Norwegian and some of them had a word order which corresponded to Polish. The study revealed that the Norwegian group generally did not accept unacceptable English sentences that corresponded to acceptable Polish or Norwegian word order. The Polish group on the other hand, generally did accept some of the unacceptable sentences and the sentences corresponding to Polish word order received the highest score. With these findings as support, this study argues that the Norwegian group has moved past the stage in second language acquisition that transfers word order from the L1 to L2, while the Polish group has still not passed that stage. The reason for this difference is argued to be the amount and type of free time activities Norwegians and Poles participate in, while using the English language. The Norwegian group watches films and television series in English with English or Norwegian subtitles or no subtitles at all. In contrast, the Polish group spends time watching the same type of media with Polish subtitles but also mostly with dubbing and voiceover options and therefore receiving less English audio input than the Norwegian group. In addition, the Norwegian group spends more time than the Polish group on reading books and magazines in English, playing computer games in English, using internet pages in English and speaking English with friends and family.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0820.001

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 head0.015
GPT teacher head0.314
Teacher spread0.299 · 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 designQualitative
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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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