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Register a new userUser-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization
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Added by
Shohei Higashiyama
Publication date
2021
fields
Informatics Engineering
and research's language is
English
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No Arabic abstract
Morphological analysis (MA) and lexical normalization (LN) are both important tasks for Japanese user-generated text (UGT). To evaluate and compare different MA/LN systems, we have constructed a publicly available Japanese UGT corpus. Our corpus comprises 929 sentences annotated with morphological and normalization information, along with category information we classified for frequent UGT-specific phenomena. Experiments on the corpus demonstrated the low performance of existing MA/LN methods for non-general words and non-standard forms, indicating that the corpus would be a challenging benchmark for further research on UGT.
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