Essays about: "Machine Translation"

Showing result 11 - 15 of 115 essays containing the words Machine Translation.

  1. 11. BERTie Bott’s Every Flavor Labels : A Tasty Guide to Developing a Semantic Role Labeling Model for Galician

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Micaella Bruton; [2023]
    Keywords : natural language processing; NLP; Galician; low-resource language; low resource language; semantic role labeling; SRL; mBERT; XLM-R; transfer-learning; transfer learning; Spanish; verbal indexing; procesamento de linguaxe natural; NLP; Galego; lingua de recursos limitados; etiquetado de papeis semánticos; SRL; mBERT; XLM-R; aprendizaxe por transferencia; Español; indexación verbal; språkteknologiska verktyg; NLP; naturlig språkbehandling; galiciska; språk med begränsade resurser; semantisk rollmärkning; SRL; mBERT; XLM-R; överföringsinlärning; spanska; verbal indexering; verbalindexering; procesamiento del lenguaje natural; NLP; Gallego; idioma de bajos recursos; etiquetado de roles semánticos; SRL; mBERT; XLM-R; aprendizaje por transferencia; Español; indexación verbal;

    Abstract : For the vast majority of languages, Natural Language Processing (NLP) tools are either absent entirely, or leave much to be desired in their final performance. Despite having nearly 4 million speakers, one such low-resource language is Galician. READ MORE

  3. 12. Through the Blur with Deep Learning : A Comparative Study Assessing Robustness in Visual Odometry Techniques

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Alexander Berglund; [2023]
    Keywords : artificial intelligence; AI; machine learning; ML; deep learning; DL; computer vision; neural networks; NN; convolutional neural networks; CNN; visual odometry; VO; robustness; motion blur; AirForestry; localization; navigation; ego-motion; pose estimation; SLAM; DF-VO; DytanVO; ORB-SLAM3; artificiell intelligens; maskininlärning; datorseende;

    Abstract : In this thesis, the robustness of deep learning techniques in the field of visual odometry is investigated, with a specific focus on the impact of motion blur. A comparative study is conducted, evaluating the performance of state-of-the-art deep convolutional neural network methods, namely DF-VO and DytanVO, against ORB-SLAM3, a well-established non-deep-learning technique for visual simultaneous localization and mapping. READ MORE

  4. 13. Catalogue across languages? : The opportunities and challenges of the multilingual Online Public Access Catalogue as an interface between librarians and end-users

    University essay from Högskolan i Borås/Akademin för bibliotek, information, pedagogik och IT

    Author : Maud Guichard -Marneur; [2023]
    Keywords : Online Public Access Catalogue OPAC ; multilingual; users and end-users; interface; access;

    Abstract : There exist two assumptions that may well be connected. The first is that in an increasingly global and technological world, language barriers have fallen. Online machine translation services are monetarily free for everyone to use. READ MORE

  5. 14. Low-Resource Domain Adaptation for Jihadi Discourse : Tackling Low-Resource Domain Adaptation for Neural Machine Translation Using Real and Synthetic Data

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Thea Tollersrud; [2023]
    Keywords : machine translation; domain adaptation;

    Abstract : In this thesis, I explore the problem of low-resource domain adaptation for jihadi discourse. Due to the limited availability of annotated parallel data, developing accurate and effective models in this domain poses a challenging task. READ MORE

  6. 15. Sense and Sensitivity: Exploring how Neural Machine Translation Systems Handle Slurs

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

    Author : Tom Södahl Bladsjö; [2022-08-12]
    Keywords : Machine Translation; Descriptive Translation Studies; Slurs; Sensitive Language; Offensive Language; Lexical Semantics;

    Abstract : The rise of streaming platforms such as Netflix and HBO has brought a surge in audiovisual content to be translated. While the translation industry at large have adopted machine translation (MT) as a tool to meet the rising demands, the subtitling industry has been reluctant to embrace this trend. READ MORE