Sökning: "diachronic word embeddings"

Hittade 3 uppsatser innehållade orden diachronic word embeddings.

  1. 1. WANNA BE ON TOP? The Hyperparameter Search for Semantic Change's Next Top Model

    Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Författare :Kate Viloria; [2021-09-22]
    Nyckelord :semantic change; language change; diachronic word embeddings;

    Sammanfattning : Lexical semantic change (LSC) detection through the use of diachronic corpora and computational methods continues to be a prevalent research area in language change (Tahmasebi et al., 2018). LÄS MER

  2. 2. Unsupervised Lexical Semantic Change Detection with Context-Dependent Word Representations

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Huiling You; [2021]
    Nyckelord :;

    Sammanfattning : In this work, we explore the usefulness of contextualized embeddings from language models on lexical semantic change (LSC) detection. With diachronic corpora spanning two time periods, we construct word embeddings for a selected set of target words, aiming at detecting potential LSC of each target word across time. LÄS MER

  3. 3. Detecting Lexical Semantic Change Using Probabilistic Gaussian Word Embeddings

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Adam Moss; [2020]
    Nyckelord :historical linguistics; historical semantics; lexical semantic change; diachronic semantic change; word embeddings; probabilistic word embeddings; gaussian word embeddings;

    Sammanfattning : In this work, we test two novel methods of using word embeddings to detect lexical semantic change, attempting to overcome limitations associated with conventional approaches to this problem. Using a diachronic corpus spanning over a hundred years, we generate word embeddings for each decade with the intention of evaluating how meaning changes are represented in embeddings for the same word across time. LÄS MER