AdjScales: Visualizing Differences between Adjectives for Language Learners
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E92-D No.8 pp.1542-1550
- Publication Date
- 2009/08/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E92.D.1542
- Type of Manuscript
- PAPER
- Category
- Educational Technology
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Keyword
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Vera SHEINMAN, Takenobu TOKUNAGA, "AdjScales: Visualizing Differences between Adjectives for Language Learners" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 8, pp. 1542-1550, August 2009, doi: 10.1587/transinf.E92.D.1542.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.1542/_p
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@ARTICLE{e92-d_8_1542,
author={Vera SHEINMAN, Takenobu TOKUNAGA, },
journal={IEICE TRANSACTIONS on Information},
title={AdjScales: Visualizing Differences between Adjectives for Language Learners},
year={2009},
volume={E92-D},
number={8},
pages={1542-1550},
abstract={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.},
keywords={},
doi={10.1587/transinf.E92.D.1542},
ISSN={1745-1361},
month={August},}
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TY - JOUR
TI - AdjScales: Visualizing Differences between Adjectives for Language Learners
T2 - IEICE TRANSACTIONS on Information
SP - 1542
EP - 1550
AU - Vera SHEINMAN
AU - Takenobu TOKUNAGA
PY - 2009
DO - 10.1587/transinf.E92.D.1542
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2009
AB - 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.
ER -
English
