Essays about: "Automatic Text Evaluation"
Showing result 1 - 5 of 46 essays containing the words Automatic Text Evaluation.
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1. Identification and Classification of TTS Intelligibility Errors Using ASR : A Method for Automatic Evaluation of Speech Intelligibility
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, applications using synthesized speech have become more numerous and publicly available. As the area grows, so does the need for delivering high-quality, intelligible speech, and subsequently the need for effective methods of assessing the intelligibility of synthesized speech. READ MORE
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2. Language Models as Evaluators : A Novel Framework for Automatic Evaluation of News Article Summaries
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The advancements in abstractive summarization using Large Language Models (LLMs) have brought with it new challenges in evaluating the quality and faithfulness of generated summaries. This thesis explores a human-like automated method for evaluating news article summaries. READ MORE
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3. Punctuation Restoration as Post-processing Step for Swedish Language Automatic Speech Recognition
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This thesis focuses on the Swedish language, where punctuation restoration, especially as a postprocessing step for the output of Automatic Speech Recognition (ASR) applications, needs furtherresearch. I have collaborated with NewsMachine AB, a company that provides large-scale mediamonitoring services for its clients, for which it employs ASR technology to convert spoken contentinto text. READ MORE
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4. Context-aware Swedish Lexical Simplification : Using pre-trained language models to propose contextually fitting synonyms
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : This thesis presents the development and evaluation of context-aware Lexical Simplification (LS) systems for the Swedish language. In total three versions of LS models, LäsBERT, LäsBERT-baseline, and LäsGPT, were created and evaluated on a newly constructed Swedish LS evaluation dataset. READ MORE
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5. Text simplification in Swedish using transformer-based neural networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Textförenkling innebär modifiering av text så att den blir lättare att läsa genom ersättning av komplexa ord, ändringar av satsstruktur och/eller borttagning av onödig information. Forskning existerar kring textförenkling på svenska, men användandet av neurala nätverk inom området är begränsat. READ MORE