A literature review cataloging LLM-based augmentation methods across image, text, and speech, with a taxonomy of techniques, limitations, and suggested fixes.
Statistical Augmentation of a Chinese Machine-Readable Dictionary
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abstract
We describe a method of using statistically-collected Chinese character groups from a corpus to augment a Chinese dictionary. The method is particularly useful for extracting domain-specific and regional words not readily available in machine-readable dictionaries. Output was evaluated both using human evaluators and against a previously available dictionary. We also evaluated performance improvement in automatic Chinese tokenization. Results show that our method outputs legitimate words, acronymic constructions, idioms, names and titles, as well as technical compounds, many of which were lacking from the original dictionary.
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Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey
A literature review cataloging LLM-based augmentation methods across image, text, and speech, with a taxonomy of techniques, limitations, and suggested fixes.