Comprehensive Evaluation on Lexical Normalization: Boundary-Aware Approaches for Unsegmented Languages

Shohei Higashiyama; Masao Utiyama

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arXiv · 2505.22273

Comprehensive Evaluation on Lexical Normalization: Boundary-Aware Approaches for Unsegmented Languages

Shohei Higashiyama·Masao Utiyama

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Abstract

Lexical normalization research has sought to tackle the challenge of processing informal expressions in user-generated text, yet the absence of comprehensive evaluations leaves it unclear which methods excel across multiple perspectives. Focusing on unsegmented languages, we make three key contributions: (1) creating a large-scale, multi-domain Japanese normalization dataset, (2) developing normalization methods based on state-of-the-art pretrained models, and (3) conducting experiments across multiple evaluation perspectives. Our experiments show that both encoder-only and decoder-only approaches achieve promising results in both accuracy and efficiency.

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Shohei Higashiyama, Masao Utiyama. 2025-05-28. Comprehensive Evaluation on Lexical Normalization: Boundary-Aware Approaches for Unsegmented Languages. https://arxiv.org/abs/2505.22273

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