AdjScales: Visualizing Differences between Adjectives for Language Learners
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概要
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In this study we introduce AdjScales, a method for scaling similar adjectives by their strength. It combines existing Web-based computational linguistic techniques in order to automatically differentiate between similar adjectives that describe the same property by strength. Though this kind of information is rarely present in most of the lexical resources and dictionaries, it may be useful for language learners that try to distinguish between similar words. Additionally, learners might gain from a simple visualization of these differences using unidimensional scales. The method is evaluated by comparison with annotation on a subset of adjectives from WordNet by four native English speakers. It is also compared against two non-native speakers of English. The collected annotation is an interesting resource in its own right. This work is a first step toward automatic differentiation of meaning between similar words for language learners. AdjScales can be useful for lexical resource enhancement.
著者
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SHEINMAN Vera
Graduate School of Information Science and Engineering in Tokyo Institute of Technology
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TOKUNAGA Takenobu
Graduate School of Information Science and Engineering in Tokyo Institute of Technology
関連論文
- AdjScales: Visualizing Differences between Adjectives for Language Learners
- AdjScales : Visualizing Differences between Adjectives for Language Learners
- Probabilistic GLR Parsing: A New Formalization and Its Impact on Parsing Performance