Representation and acquisition of stress: the case of Turkish
Notice bibliographique
Résumé
This thesis investigates the representation and acquisition of word-level stress in Turkish. Two general proposals are made in the thesis, one related to formal phonology, the other about second language (L2) acquisition of word-level prosody. The first proposes that the presence/absence of the Foot is parametric; that is, contra much previous research (see e.g. Selkirk 1995, Vogel 2009), it is argued in this thesis that the Foot is not a universal constituent of the Prosodic Hierarchy; rather, some languages, such as Turkish and French, are footless. Several types of evidence are presented in support of this proposal, from both Turkish and French, with a focus on the former language. A comparison of regular (word-final) and exceptional stress in this language reveals, for example, that regular "stress" is intonational prominence falling on the last syllable of prosodic words in the absence of foot structure. Exceptional stress, on the other hand, is argued to be the result of certain morphemes coming into the computation already footed in the lexicon, and being footed on the surface, too, because of faithfulness to this information. The grammar, then, assigns the other properties of this foot, such as binarity and foot type, which are vacuously satisfied for regular morphemes, as they are not footed, and as the grammar has no mechanism that assigns feet or stress. The result is a unified analysis of regular and exceptional stress in Turkish.Second, the thesis proposes a path for the L2 acquisition of prosody, the Prosodic Acquisition Path Hypothesis (PAPH). The PAPH predicts different levels of difficulty and paths to be followed by L2 learners based on the typological properties of their first language (L1) and the L2 they are learning, and also on the basis of a hierarchical tree representation of the relationships proposed to hold between prosodic parameters. Most foot-related parameters are incorporated in the proposal, as well as the new parameter proposed in this thesis about the presence/absence of the Foot. The PAPH predicts that once the Foot is projected in an L1, learners of a footless L2 will not be able to expunge it from their grammar, but will, instead, be restricted to changing the values of foot-related parameters. Not every one of these parameters is, however, hypothesized to be equally easy to reset; depending on a variety of factors such as their location on the parameter tree and markedness, certain parameters, such as Foot-Type, are hypothesized to be easier to reset than others, such as Iterativity.The predictions as concerns the learning path are tested through an experiment, which examines productions of English- and French-speaking learners of L2 Turkish. The results of the experiment largely confirm the predictions of the PAPH. None of the English-speaking learners of Turkish were able to rid their grammar of the Foot, though they were able to make various Universal Grammar (UG)-constrained changes to their grammar, such as resetting Extrametricality from 'Yes' to 'No', and at later stages, Foot-Type from 'Trochaic' to 'Iambic', thereby having increasingly more word types with final stress. French-speaking learners, on the other hand, produced target-like footless outputs, with word-final prominence, from the initial stages of acquisition. At no stage did any of the learners have UG-unconstrained representations such as weight-insensitive iambs, which are not permitted by the inventory of feet provided by UG.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».