Abstract
This chapter will introduce a dynamically integrated lexical resource called DeepLEX. With its modularized architecture, DeepLEX aims to be a fine-grained yet scaled multilingual lexical resource that empowers linguists to pursue a wide array of previously unanswerable research questions. Our approach expands on previous efforts and calls for an open collaboration in which lexical knowledge is semantically founded, symbolically operationalized, and empirically gleaned.
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Notes
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The Chinese SSWC has been completed and the release is in progress.
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The seed items and reference measures were retrieved from our previous experiments published on different occasions. In the future, much effort will be put into determining the proper weights and measures for this huge sparse matrix.
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The system will be available at lope.linguistics.ntu.edu.tw/deeplex
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Hsieh, SK. (2023). DeepLEX. In: Huang, CR., Hsieh, SK., Jin, P. (eds) Chinese Language Resources. Text, Speech and Language Technology, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-031-38913-9_6
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