Apprentissage automatique de la morphologie : le cas des structures racine-schème

RÉSUMÉ Cette thèse porte sur le développement de méthodes algorithmiques pour découvrir automatiquement la structure morphologique des mots d'un corpus. On considère en particulier le cas des langues s'approchant du type introflexionnel, comme l'arabe ou l'hébreu. La tradition linguistique décrit la morphologie de ces langues en termes d'unités discontinues : les racines consonantiques et les schèmes vocaliques. Ce genre de structure constitue un défi pour les systèmes actuels d'apprentissage automatique, qui opèrent généralement avec des unités continues. La stratégie adoptée ici consiste à traiter le problème comme une séquence de deux sous-problèmes. Le premier est d'ordre phonologique : il s'agit de diviser les symboles (phonèmes, lettres) du corpus en deux groupes correspondant autant que possible aux consonnes et voyelles phonétiques. Le second est de nature morphologique et repose sur les résultats du premier : il s'agit d'établir l'inventaire des racines et schèmes du corpus et de déterminer leurs règles de combinaison. On examine la portée et les limites d'une approche basée sur deux hypothèses : (i) la distinction entre consonnes et voyelles peut être inférée sur la base de leur tendance à alterner dans la chaîne parlée; (ii) les racines et les schèmes peuvent être identifiés respectivement aux séquences de consonnes et voyelles découvertes précédemment. L'algorithme proposé utilise une méthode purement distributionnelle pour partitionner les symboles du corpus. Puis il applique des principes analogiques pour identifier un ensemble de candidats sérieux au titre de racine ou de schème, et pour élargir progressivement cet ensemble. Cette extension est soumise à une procédure d'évaluation basée sur le principe de la longueur de description minimale, dans- l'esprit de LINGUISTICA (Goldsmith, 2001). L'algorithme est implémenté sous la forme d'un programme informatique nommé ARABICA, et évalué sur un corpus de noms arabes, du point de vue de sa capacité à décrire le système du pluriel. Cette étude montre que des structures linguistiques complexes peuvent être découvertes en ne faisant qu'un minimum d'hypothèses a priori sur les phénomènes considérés. Elle illustre la synergie possible entre des mécanismes d'apprentissage portant sur des niveaux de description linguistique distincts, et cherche à déterminer quand et pourquoi cette coopération échoue. Elle conclut que la tension entre l'universalité de la distinction consonnes-voyelles et la spécificité de la structuration racine-schème est cruciale pour expliquer les forces et les faiblesses d'une telle approche. ABSTRACT This dissertation is concerned with the development of algorithmic methods for the unsupervised learning of natural language morphology, using a symbolically transcribed wordlist. It focuses on the case of languages approaching the introflectional type, such as Arabic or Hebrew. The morphology of such languages is traditionally described in terms of discontinuous units: consonantal roots and vocalic patterns. Inferring this kind of structure is a challenging task for current unsupervised learning systems, which generally operate with continuous units. In this study, the problem of learning root-and-pattern morphology is divided into a phonological and a morphological subproblem. The phonological component of the analysis seeks to partition the symbols of a corpus (phonemes, letters) into two subsets that correspond well with the phonetic definition of consonants and vowels; building around this result, the morphological component attempts to establish the list of roots and patterns in the corpus, and to infer the rules that govern their combinations. We assess the extent to which this can be done on the basis of two hypotheses: (i) the distinction between consonants and vowels can be learned by observing their tendency to alternate in speech; (ii) roots and patterns can be identified as sequences of the previously discovered consonants and vowels respectively. The proposed algorithm uses a purely distributional method for partitioning symbols. Then it applies analogical principles to identify a preliminary set of reliable roots and patterns, and gradually enlarge it. This extension process is guided by an evaluation procedure based on the minimum description length principle, in line with the approach to morphological learning embodied in LINGUISTICA (Goldsmith, 2001). The algorithm is implemented as a computer program named ARABICA; it is evaluated with regard to its ability to account for the system of plural formation in a corpus of Arabic nouns. This thesis shows that complex linguistic structures can be discovered without recourse to a rich set of a priori hypotheses about the phenomena under consideration. It illustrates the possible synergy between learning mechanisms operating at distinct levels of linguistic description, and attempts to determine where and why such a cooperation fails. It concludes that the tension between the universality of the consonant-vowel distinction and the specificity of root-and-pattern structure is crucial for understanding the advantages and weaknesses of this approach.

Osobennosti perevoda proizvedenij russkix pravoslavnyx myslitelej na francuzskij jazyk (S.N.Bulgakov, A.F. Losev) [Les spécificités de la traduction des textes des penseurs orthodoxes russes en français (S. Bulgakov, A. Losev)]

This article is attempt to crarify some conceptuel and linguistic problems in the translation (from Russian and French) of philosophical texts written in the first of the 20th century - in particular, those by S. Bulgakov and A. Losev. We consider any transation as a form of cross-cultural communication taking place between the author and the translator(s) of the texte. Any translation involves a complex interaction of different historical and cultural factors that are attempt to combine and to remove cultural and conceptual misunderstandings.

Kontaktilähtöinen kielenmuutos, substraatti ja substraattinimistö

Summary: Contact-induced linguistic change, linguistic substrate and substrate place names

Perceived discrimination against diabetics in the workplace and in work-related insurances in Switzerland.

To investigate the prevalence and risk factors of perceived diabetes-related discrimination in the workplace and in work-related insurances in persons with diabetes mellitus in Switzerland. 509 insulin-treated diabetic subjects representative of the northwestern Swiss population responded to a self-report questionnaire on perceived diabetes-related discrimination in the workplace and in work-related insurances (salary loss insurance, supplementary occupational plan). Discrimination was defined as being treated differently at least once in relation to diabetes. The reported rates of different aspects of discrimination in the workplace and in work-related insurances ranged between 5-11% and 4-15% respectively. Risk factors that independently increased the risk of not being hired due to diabetes were the presence of at least two severe hypoglycaemic events/year and relevant diabetic complications (OR 5.6 and OR 2.6 respectively; both<0.05). The presence of at least two severe hypoglycaemic events/year was also associated with an increased risk of losing one's job (OR 6.5, <0.01). Overweight or obesity were related to increased discrimination in work-related insurances (OR for denial 2.1-2.4; OR for reserve 3.9-4.4; all<0.05). Perceived diabetes-related discrimination in the workplace and by work-related insurances is a common problem. In the light of our findings the introduction of effective non-discrimination legislation for patients with chronic illnesses appears to be desirable.