Bibliographic record
Abstract
This paper presents the characteristics and causes of Korean sentence errors frequently committed by French Canadian learners in their acquisition process of Korean as a foreign language. The error analysis is conducted on the basis of the corpus constituted from typical erroneous oral and written sentences made by the 70 students attending Korean language courses at the University of Montreal in Canada from 1998 to 2005. For the analysis of our corpus, error is defined as a “interlanguage” and “transitional language”, not as a wrong and undesirable language to criticize. The error being a part of foreign language learning process is usually accountable. Thuㅎs the error analysis allows us to describe and explain what kind of constraints would be facing the learners to assimilate the targeted foreign language and which interferences drag the learners to produce errors in pronunciation, spelling, order of words, verb suffix, politeness, vocabulary use in oral and written Korean phrase construction. We examine and apply interference theory of J. C. Richard focusing on three interference features causing error: interference by mother tongue, interference by intra-lingual complexity of the target language and interference by learner’s practical development. As the interferences constitute causes of errors, they are also supposed to give tools to improve didactical method adapting to the learners’ linguistic profile. For future research it is recommended to explore new avenue of teaching method on the basis of our analysis output.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".