Essays about: "robustness"

Showing result 16 - 20 of 1146 essays containing the word robustness.

  1. 16. IŻ SWÓJ JĘZYK MAJĄ! An exploration of the computational methods for identifying language variation in Polish

    University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Author : Maria Irena Szawerna; [2023-06-19]
    Keywords : language variation; Polish; diachronic linguistics; part-of-speech tagging; lemmatization; corpus linguistics;

    Abstract : Computational approaches to language variation continue to contribute in a relevant way to various fields, including Natural Language Processing (NLP) and linguistics. Being able to accommodate variation within natural language increases the robustness of NLP models and their usefulness in real-life applications; simultaneously, detecting and describing variation and trends that govern it is one of the main goals of sociolinguistics and historical linguistics, meaning that some of the advances in NLP can contribute to these fields as well. READ MORE

  2. 17. Syntax-based Concept Alignment for Machine Translation

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Arianna Masciolini; [2023-03-30]
    Keywords : computational linguistic; machine translation; concept alignment; syntax; dependency parsing; Universal Dependencies; Grammatical Framework;

    Abstract : This thesis presents a syntax-based approach to Concept Alignment (CA), the task of finding semantical correspondences between parts of multilingual parallel texts, with a focus on Machine Translation (MT). Two variants of CA are taken into account: Concept Extraction (CE), whose aim is to identify new concepts by means of mere linguistic comparison, and Concept Propagation (CP), which consists in looking for the translation equivalents of a set of known concepts in a new language. READ MORE

  3. 18. IS POLITICAL CORRUPTION A MISSING PIECE IN THE PUZZLE OF AUTOCRATIZATION? A quantitative study of the relationship between changes in levels of political corruption and changes in levels of democracy

    University essay from Göteborgs universitet/Statsvetenskapliga institutionen

    Author : Rebecca Sanderöd Rodin; [2023-01-30]
    Keywords : political corruption; autocratization; democracy; political trust;

    Abstract : While previous research has examined how levels of democracy affect corruption, the number of studies investigating how levels of corruption affect democracy is limited. Declining levels of democracy, or autocratization, is an unsolved puzzle with many theorized causes, such as inequality, low accountability, and economic issues. READ MORE

  4. 19. Do Football Players Give Female Coaches the Red Card?

    University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomi

    Author : Erica Froste Myrin; Sigrid Holmgren; [2023]
    Keywords : gender bias; sport; leadership; football; evaluation;

    Abstract : In Swedish elite football, the skewed gender distribution between coaches is conspicuous, and this thesis aims to investigate one channel as to why there are so few female coaches in this environment. Previous research has found that students evaluate female teachers more critically than male teachers, even in components that they cannot control; might this be the case in Swedish elite football as well? We have conducted a framed field experiment on the teams in the highest football division for players 19 years or under in Sweden. READ MORE

  5. 20. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Deepthy Prasad; Swathi Hampapura Sripada; [2023]
    Keywords : multivariate - time series; anomaly detection; neural networks; autoencoders; interpretability; counterfactuals;

    Abstract : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. READ MORE