Global ETD Search
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Showing 1 to 5 of 5 for “"text normalization"”.
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Impacts of LLM-Based Text Normalization on Price Prediction
This study investigates the effect of LLM-based text normalization on price prediction from user-generated product descriptions. Using the Mercari Price Suggestion Challenge dataset, we normalize 120,000 item descriptions with GPT-4o-mini and evaluate the impact across three modeling pipelines: a …
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Data quality in the deep learning era: Active semi-supervised learning and text normalization for natural language understanding
… (IE) tools rely on accurate understanding of text and struggle with the noisy and informal nature of social media due to high out-of-vocabulary (OOV) word rates. In this work, we design a social media text normalization hybrid word-character attention-based encoder-decoder model that can serve …
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Transcoding multilingual and non-standard web content to voiceXML
… have semantics of content. The semantics help Textto-Speech (TTS) tools to read multilingual text and to do text normalization. The results from experiments indicate that pre-normalizing non-standard words and appending semantics enable Dinaco to generate VoiceXML interfaces which are more …
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Robust Neural Machine Translation
… types. First, we describe a novel unsupervised text normalization framework <strong>Lex-Var</strong>, to reduce the lexical variations for NMT. Then, we apply the <strong>phonetic encoding</strong> as auxiliary linguistic information and obtained very significant (5 BLEU point) improvement in …
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The Roles of Language Models and Hierarchical Models in Neural Sequence-to-Sequence Prediction
… and bioinformatics. Recent advances in contextual word embeddings like BERT boast with achieving state-of-the-art results on 11 NLP tasks with the same model. Before deep learning, a speech recognizer and a syntactic parser used to have little in common as systems were much more tailored …