Papers with lexical decision task

2 papers
Subword models struggle with word learning, but surprisal hides it (2025.acl-short)

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Challenge: Subword LMs struggle to discern words and non-words with high accuracy, character LM models do this easily and consistently.
Approach: They propose to model word learning in subword and character language models with the psycholinguistic lexical decision task.
Outcome: The results suggest that word learning and syntactic learning are separable in character LMs.
Analyzing Cognitive Plausibility of Subword Tokenization (2023.emnlp-main)

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Challenge: Existing evaluations of subword tokenization focus on engineering criteria such as compression rate . a recent study evaluated subwords for their cognitive plausibility in languages with limited vocabulary size .
Approach: They propose a new evaluation paradigm that focuses on the cognitive plausibility of subword tokenization.
Outcome: The proposed tokenization algorithm yields less cognitively plausible tokenization behavior and worse coverage of derivational morphemes than previous evaluations.

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