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• https://doi.org/10.1162/tacl
• https://github.com/ZhengWeiLim
• https://pypi.org/project/wordfreq/
• https://doi.org
• https://doi.org/10.1075/target.25.1
• https://doi.org
• https://doi.org/10
• https://doi.org/10
• https://doi.org
• https://doi.org/10.1007/978
• https://doi.org
• https://doi.org/10.7146
• https://doi.org/10
• https://doi
• https://doi.org/10
• https://doi.org
• https://doi.org/10.1016
• https://doi.org/10
• https://doi/10.18653/v1/2021.findings
• https://doi.org
• https://doi.org/10.1007
• https://doi
• https://doi.org
• https://doi.org/10.18653
• https://doi.org/10
• https://doi.org
• https://doi.org/10
• https://doi.org/10.1111
• https://doi.org/10
• https://doi.org/10.1016/j.cognition
• https://doi.org/10.7551/mitpress/7503
• https://doi.org/10
• https://doi.org/10
• https://doi.org
• https://doi.org
• https://doi.org/10.1016/j
• https://doi.org/10
• https://doi
• https://aiic.org
• https://doi.org/10.18653/v1/2021.emnlp
• https://doi.org
• https://doi.org
• https://doi.org/10.4324
• https://doi.org/10.1556
• https://doi.org/10.18653
• https://doi.org
• https://doi.org
• https://doi.org/10
• https://doi.org
• https://doi.org/10/multi-2014
• https://doi.org
• https://doi.org
• https://doi.org/10
• https://doi
• https://doi.org/10
• https://doi.org
• https://doi.org
• https://doi.org
• https://doi.org/10.1075/target
• https://doi.org/10.1016/j.cognition
• https://doi.org/10.1556
• https://doi.org/10
• https://doi.org/10
• https://doi.org/10
• https://doi
• https://doi.org/10
• https://doi.org
• https://doi.org/10
• https://doi.org/10
• https://doi.org
• https://doi.org/10
• https://doi.org
• https://doi.org/10.1111/j