Essays about: "Domain Specific Test Language"
Showing result 1 - 5 of 24 essays containing the words Domain Specific Test Language.
-
1. Automatic Voice Trading Surveillance : Achieving Speech and Named Entity Recognition in Voice Trade Calls Using Language Model Interpolation and Named Entity Abstraction
University essay from Uppsala universitet/Avdelningen Vi3Abstract : This master thesis explores the effectiveness of interpolating a larger generic speech recognition model with smaller domain-specific models to enable transcription of domain-specific conversations. The study uses a corpus within the financial domain collected from the web and processed by abstracting named entities such as financial instruments, numbers, as well as names of people and companies. READ MORE
-
2. EDPM : An extension of EDPM - an embedded domain-specific language for performance monitoring C and C++ programs
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Performance monitoring of C/C++ programs has often been a tedious and straining process, where insufficient and complex tools/APIs are required. Performance monitoring tools and APIs tend to focus on ease of use or flexibility, but rarely both. READ MORE
-
3. WebLang: A Prototype Modelling Language for Web Applications : A Meta Attack Language based Domain Specific Language for web applications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This project explores how a Meta Attack Language based Domain Specific Language for web applications can be used to threat model web applications in order to evaluate and improve web application security. Organizations and individuals are targeted by cyberattacks every day where malicious actors could gain access to sensitive information. READ MORE
-
4. Synthetic data generation for domain adaptation of a retriever-reader Question Answering system for the Telecom domain : Comparing dense embeddings with BM25 for Open Domain Question Answering
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Having computer systems capable of answering questions has been a goal within Natural Language Processing research for many years. Machine Learning systems have recently become increasingly proficient at this task with large language models obtaining state-of-the-art performance. READ MORE
-
5. Domain Adaptation with N-gram Language Models for Swedish Automatic Speech Recognition : Using text data augmentation to create domain-specific n-gram models for a Swedish open-source wav2vec 2.0 model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Automatic Speech Recognition (ASR) enables a wide variety of practical applications. However, many applications have their own domain-specific words, creating a gap between training and test data when used in practice. READ MORE
