Sökning: "semantic shift"

Visar resultat 1 - 5 av 26 uppsatser innehållade orden semantic shift.

  1. 1. 'In the moment' : A cross-linguistic exploration of the lexical concept [MOMENT]

    Master-uppsats, Stockholms universitet/Avdelningen för allmän språkvetenskap

    Författare :Arthur Mannheimer; [2023]
    Nyckelord :moment; lexical typology; lexical concept; cognitive model; semantic shift; now;

    Sammanfattning : Lexical typological studies examine how various languages express similar concepts. Previous research has discussed how the concept of moment is encoded lexically in English, Ancient Greek, and Ancient Egyptian. However, there are no cross-linguistic studies to date that collect data on the lexical expressions associated with the concept of moment. LÄS MER

  3. 2. The Integration of Chinese Internet Neologisms into Everyday Language: An Empirical Study Using Baidu Index and Online Surveys

    Master-uppsats, Lunds universitet/Kinesiska; Lunds universitet/Masterprogram: Språk och språkvetenskap

    Författare :Weicheng Li; [2023]
    Nyckelord :Internet neologisms; language integration; search trends; familiarity; patterns; Languages and Literatures;

    Sammanfattning : The emergence of the Internet language has profoundly impacted everyday communication in China. This study examines the integration of Chinese Internet neologisms into everyday language. LÄS MER

  4. 3. Real-time Unsupervised Domain Adaptation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Marc Botet Colomer; [2023]
    Nyckelord :Unsupervised Domain Adaptation; Real-Time applications; Online Learning; Self-Learning; Semantic Segmentation; Reinforcement Learning; Oövervakad domänanpassning; Realtidsapplikationer; Onlineinlärning; Självinlärning; Semantisk Segmentering; Förstärkningsinlärning;

    Sammanfattning : Machine learning systems have been demonstrated to be highly effective in various fields, such as in vision tasks for autonomous driving. However, the deployment of these systems poses a significant challenge in terms of ensuring their reliability and safety in diverse and dynamic environments. LÄS MER

  5. 4. Self-supervised pre-training of an attention-based model for 3D medical image segmentation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Albert Sund Aillet; [2023]
    Nyckelord :Computer vision; Deep learning; 3D Medical image segmentation; Self-supervised learning; Datorseende; Djupinlärning; 3D Medicinsk bildsegmentering; Självövervakad träning;

    Sammanfattning : Accurate segmentation of anatomical structures is crucial for radiation therapy in cancer treatment. Deep learning methods have been demonstrated effective for segmentation of 3D medical images, establishing the current standard. However, they require large amounts of labelled data and suffer from reduced performance on domain shift. LÄS MER

  7. 5. Evaluation of Ferroelectric Tunnel Junction memristor for in-memory computation in real world use cases

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Alec Guerin; Christos Papadopoulos; [2023]
    Nyckelord :FTJ; Ferroelectric Tunneling Junction; Analog in-memory computing; AIMC; Memristor; A.I.; AIHWKIT; Semantic segmentation; Natural Language Processing; NLP; Neuromorphic Computing; Matrix Vector Multiplication; Technology and Engineering;

    Sammanfattning : Machine learning algorithms are experiencing unprecedented attention, but their inherent computational complexity leads to high energy consumption. However, a paradigm shift in computing methods has the potential to address the issue. LÄS MER