Essays about: "Semantic pattern"
Showing result 1 - 5 of 22 essays containing the words Semantic pattern.
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1. ‘NOTHING IS IN VAIN': Non-Standard Negation and Cyclical Change in Kutu, Kwere, and Zalamo
University essay from Göteborgs universitet/Institutionen för språk och litteraturerAbstract : This work concerns the polyfunctionality and grammaticalization of an item bule in the under described Tanzanian Bantu languages, Kutu, Kwere, and Zalamo. Through collection and analysis of field data, it is shown that the original adverbial element bule ‘for free, in vain, for no reason’ has developed a wide range of functions within the domain of non-standard negation. READ MORE
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2. And Action! : A Study of the Semantic Domains of Action through Interpretation of Metaphor
University essay fromAbstract : The aim of this essay is determining and describing some of the semantic domains of the concept of action. Action belongs to the type of abstract nouns with unclear semantic domains. In other words, there are difficulties in determining the precise semantic patterns that the word ‘action’ refers to. READ MORE
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3. Generating Wikipedia Articles with Grammatical Framework : A Case Study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Natural language generation is a method used to produce understandable texts in human languages from data [1]. Grammatical Framework is a grammar formalism and a functional programming language using a nonstatistical approach to build natural language applications. READ MORE
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4. Narrow Pretraining of Deep Neural Networks : Exploring Autoencoder Pretraining for Anomaly Detection on Limited Datasets in Non-Natural Image Domains
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : Anomaly detection is the process of detecting samples in a dataset that are atypical or abnormal. Anomaly detection can for example be of great use in an industrial setting, where faults in the manufactured products need to be detected at an early stage. READ MORE
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5. Classification of Terrain Roughness from Nationwide Data Sources Using Deep Learning
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : 3D semantic segmentation is an expanding topic within the field of computer vision, which has received more attention in recent years due to the development of more powerful GPUs and the newpossibilities offered by deep learning techniques. Simultaneously, the amount of available spatial LiDAR data over Sweden has also increased. READ MORE