Search for dissertations about: "topic"

Showing result 1 - 5 of 1279 swedish dissertations containing the word topic.

  2. 1. Clefts in English and Swedish: A contrastive study of IT-clefts and WH-clefts in original texts and translations

    Author : Mats Johansson; Engelska; []
    Keywords : HUMANIORA; HUMANITIES; Engelska språk och litteratur ; English language and literature; information structure; ground; focus; discourse topic; topic; theme; discourse; fronting; wh-clefts; it-clefts; pseudo-cleft constructions; cleft constructions; bidirectional translation corpus; translation; corpus linguistics; contrastive linguistics; Swedish; English; Scandinavian languages and literature; Nordiska språk språk och litteratur ; Linguistics; Lingvistik;

    Abstract : This study investigates the use of cleft constructions in English and Swedish on the basis of a bidirectional translation corpus consisting of original English and Swedish texts and their translations into the other language. This design minimizes the problems inherent in corpora of original texts alone, viz. READ MORE

  4. 2. Scalable and Efficient Probabilistic Topic Model Inference for Textual Data

    Author : Måns Magnusson; Mattias Villani; Marco Kuhlmann; Jordan Boyd-Graber; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Text analysis; Bayesian inference; Markov chain Monte Carlo; topic models; Textanalys; Bayesiansk inferens; Markov chain Monte Carlo; temamodeller;

    Abstract : Probabilistic topic models have proven to be an extremely versatile class of mixed-membership models for discovering the thematic structure of text collections. There are many possible applications, covering a broad range of areas of study: technology, natural science, social science and the humanities. READ MORE

  5. 3. V1 Declaratives in Spoken Swedish : Syntax, Information Structure, and Prosodic Pattern

    Author : Maria Mörnsjö; tolkning i offentlig sektor och översättning danska och isländska Avdelningen för svenska; []
    Keywords : HUMANIORA; HUMANITIES; Scandinavian languages and literature; spoken language; perception test; dynamicity; downstep; F0 slope; focal accent; narrative; discourse; topic; cohesion; V2; V1; prosody; information structure; declarative; Spec-CP; Nordiska språk språk och litteratur ; Grammar; semantics; semiotics; syntax; Grammatik; semantik; semiotik;

    Abstract : The topic of the present thesis is V1 declaratives in spoken Swedish. Such constructions constitute an interesting object for research due to the fact that Swedish is a V2 language where V1 word order is grammaticalized for yes/no questions. Hitherto we have lacked a thorough study of the phenomenon. READ MORE

  6. 4. Persian Writing on Music : A study of Persian musical literature from 1000 to 1500 AD

    Author : Mehrdad Fallahzadeh; Bo Utas; Anders Hammarlund; Jean During; Uppsala universitet; []
    Keywords : Iranian languages; Persian literature; writings on music; religious and non-religious approaches; music theory; samā‘; topic; periodization; Iranska språk - allmänt; iranska språk; Iranian Languages;

    Abstract : This dissertation is an attempt to understand and map the development of Persian writings on music, focusing on their various approaches and variations of topics from the beginning of the 11th century to the end of the 15th century which can be called the classical period of Persian writing on music. The rise of Persian musical literature as a part of Persian learned literature was a result of the political and cultural decentralization of the Abbasid Caliphate. READ MORE

  7. 5. Deep learning for news topic identification in limited supervision and unsupervised settings

    Author : Arezoo Hatefi; Frank Drewes; Johanna Björklund; Xuan-Son Vu; Eric Gaussier; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Topic Identification; Data Clustering; News Stream Clustering; Semi-Supervised Learning; Unsupervised Learning; Event Topics; News Stories; Multimodal News; Document Classification; Document Clustering; Deep Learning; Deep Clustering; Pre-trained Language Models;

    Abstract : In today's world, following news is crucial for decision-making and staying informed. With the growing volume of daily news, automated processing is essential for timely insights and in aiding individuals and corporations in navigating the complexities of the information society. READ MORE