Papers with lexical decision task
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. |