Sökning: "Computational Linguistics"
Visar resultat 11 - 15 av 31 uppsatser innehållade orden Computational Linguistics.
11. Homograph Disambiguation and Diacritization for Arabic Text-to-Speech Using Neural Networks
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : Pre-processing Arabic text for Text-to-Speech (TTS) systems poses major challenges, as Arabic omits short vowels in writing. This omission leads to a large number of homographs, and means that Arabic text needs to be diacritized to disambiguate these homographs, in order to be matched up with the intended pronunciation. LÄS MER
12. Using Machine Learning to Understand Text for Pharmacovigilance: A Systematic Review
Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : Background: Pharmacovigilance is a science that involves the ongoing monitoring of adverse drug reactions of existing medicines. Its primary purpose is to sustain and improve public health. LÄS MER
13. A comparative study of the grammatical gender systems of languages by means of analysing word embeddings
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : The creation of word embeddings is one of the key breakthroughs in natural language processing. Word embeddings allow for words to be represented semantically, opening the way to many new deep learning methods. LÄS MER
14. Rättssäker Textanalys
Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)Sammanfattning : Digital språkbehandling (natural language processing) är ett forskningsområde inom vilketdet ständigt görs nya framsteg. En betydande del av den textanalys som sker inom dettafält har som mål att uppnå en fullgod tillämpning kring dialogen mellan människa ochdator. LÄS MER
15. The effect of noise in the training of convolutional neural networks for text summarisation
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : In this thesis, we work towards bridging the gap between two distinct areas: noisy text handling and text summarisation. The overall goal of the paper is to examine the effects of noise in the training of convolutional neural networks for text summarisation, with a view to understanding how to effectively create a noise-robust text-summarisation system. LÄS MER