Sökning: "low-resource language"
Visar resultat 6 - 10 av 31 uppsatser innehållade orden low-resource language.
6. Low-Resource Domain Adaptation for Jihadi Discourse : Tackling Low-Resource Domain Adaptation for Neural Machine Translation Using Real and Synthetic Data
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : 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. LÄS MER
7. NEURAL MACHINE TRANSLATION FROM NORTH SÁMI TO SWEDISH
Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteoriSammanfattning : Neural machine translation is a method used in automatic translation that makes use of artificial neural networks. A single model takes an input sequence and predicts the most likely output sequence of words after being trained on parallel data. LÄS MER
8. Few-shot Question Generation with Prompt-based Learning
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : Question generation (QG), which automatically generates good-quality questions from a piece of text, is capable of lowering the cost of the manual composition of questions. Recently Question generation has attracted increasing interest for its ability to supply a large number of questions for developing conversation systems and educational applications, as well as corpus development for natural language processing (NLP) research tasks, such as question answering and reading comprehension. LÄS MER
9. Multilingual Transformer Models for Maltese Named Entity Recognition
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : The recently developed state-of-the-art models for Named Entity Recognition are heavily dependent upon huge amounts of available annotated data. Consequently, it is extremely challenging for data-scarce languages to obtain significant result. LÄS MER
10. Swedish Language End-to-End Automatic Speech Recognition for Media Monitoring using Deep Learning
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : In order to extract relevant information from speech recordings, the general approach is to first convert the audio into transcribed text. The text can then be analysed using well researched methods. NewsMachine AB provides customers with an overview of how they are represented in media by analysing articles in text form. LÄS MER