Essays about: "Neural maskinöversättning"
Showing result 1 - 5 of 8 essays containing the words Neural maskinöversättning.
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1. Round-Trip Translation : A New Path for Automatic Program Repair using Large Language Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Research shows that grammatical mistakes in a sentence can be corrected by machine translating it to another language and back. We investigate whether this correction capability of Large Language Models (LLMs) extends to Automatic Program Repair (APR), a software engineering task. READ MORE
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2. An Initial Investigation of Neural Decompilation for WebAssembly
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : WebAssembly is a new standard of the World Wide Web that is used as a compilation target and which is meant to enable high-performance applications. As it becomes more popular, the need for corresponding decompilers increases, for security reasons for instance. READ MORE
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3. Exploring the Usage of Neural Networks for Repairing Static Analysis Warnings
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : C# provides static analysis libraries for template-based code analysis and code fixing. These libraries have been used by the open-source community to generate numerous NuGet packages for different use-cases. READ MORE
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4. Addressing the Rare Word Problem in Source Code Modelling
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of automatic program repair has adapteddeep learning techniques. Sequence to sequence neural networkshave successfully been applied in neural machine translation(NMT). This can also be applied to automatic program repair,attempting to translate buggy source code into fixed sourcecode. READ MORE
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5. Attempts at using Bayesian neural networksfor uncertainty assessments of temperature forecasts
University essay from Lunds universitet/Förbränningsfysik; Lunds universitet/Fysiska institutionenAbstract : This thesis describes attempts at estimating the uncertainty of the 2-metre temperature forecast error from a probabilistic point of view, utilizing Bayesian neural networks. Bayesian neural networks are a type of machine-learning algorithms used to find patterns in data and make probabilistic predictions. READ MORE