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cs.CL2026★ 1 cited
Bringing Up a Bilingual BabyLM: Investigating Multilingual Language Acquisition Using Small-Scale Models
Linda Zeng, Steven Y. Feng, Michael C. Frank
Multilingualism is incredibly common around the world, leading to many important theoretical and practical questions about how children learn multiple languages at once. For exampl…
cs.CL2024★ 4 cited
Leveraging Large Language Models for Code-Mixed Data Augmentation in Sentiment Analysis
Linda Zeng
Code-mixing (CM), where speakers blend languages within a single expression, is prevalent in multilingual societies but poses challenges for natural language processing due to its…
cs.CL2024
Generative-Adversarial Networks for Low-Resource Language Data Augmentation in Machine Translation
Linda Zeng
Neural Machine Translation (NMT) systems struggle when translating to and from low-resource languages, which lack large-scale data corpora for models to use for training. As manual…