The Phenomena of Interlanguage Interference at the Morphemic Level
Bibliographic record
Abstract
The phenomena of language interference at the morphemic level as a type of grammatical interference were not accepted by the linguists who considered morphological interference impossible. However, there are linguists who claim that in language contacts morphological systems of languages affect each other and they consider it quite acceptable. Divergences in morphological systems of contacting languages cause morphological interference in bilinguals’ speech. Morphological peculiarities of contacting languages explain the reason of such deviations. Morphemes are two-sided units which are identified by the unity of phonetic or exponential (expository) and semantic features. Due to major differences in morphological structures of English and Azerbaijani languages, Azerbaijani students confuse English morphemes with the morphemes in their native language that is reflected in the phenomena of morphemic interference in their speech. So, in the study of morphemic interference it is significant to consider the types of contacting languages that is the basis of typological research in condition of bilingualism and language contacts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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 source (direct Gemma or distilled Codex), 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".