Yencken, Lars and Timothy Baldwin (2008) Orthographic similarity search for dictionary lookup of Japanese words, In Proceedings of the 18th European Conference on Artificial Intelligence (ECAI-08), Patras, Greece
نویسندگان
چکیده
Finding an unknown Japanese word in a dictionary is a difficult and slow task when one or more of the word’s characters is unknown. For advanced learners, unknown characters evoke the form and meaning of visually similar characters they are familiar with. We propose a range of distance metrics for characters to allow learners to leverage known characters to search for words containing unknown but visually similar characters. This new form of dictionary search is implemented as an extension to the FOKS dictionary system.
منابع مشابه
Orthographic similarity search for dictionary lookup of Japanese words
Finding an unknown Japanese word in a dictionary is a difficult and slow task when one or more of the word’s characters is unknown. For advanced learners, unknown characters evoke the form and meaning of visually similar characters they are familiar with. We propose a range of character distance metrics to allow learners to leverage known characters to search for words containing unknown but vi...
متن کاملYencken, Lars and Timothy Baldwin (2006) Modelling the Orthographic Neighbourhood for Japanese Kanji, In Proceedings of the 21st International Conference on the Computer Processing of Oriental Languages, Singapore
Japanese kanji recognition experiments are typically narrowly focused, and feature only native speakers as participants. It remains unclear how to apply their results to kanji similarity applications, especially when learners are much more likely to make similarity-based confusion errors. We describe an experiment to collect authentic human similarity judgements from participants of all levels ...
متن کاملMeasuring and Predicting Orthographic Associations: Modelling the Similarity of Japanese Kanji
As human beings, our mental processes for recognising linguistic symbols generate perceptual neighbourhoods around such symbols where confusion errors occur. Such neighbourhoods also provide us with conscious mental associations between symbols. This paper formalises orthographic models for similarity of Japanese kanji, and provides a proofof-concept dictionary extension leveraging the mental a...
متن کاملPinyomi: Dictionary lookup via orthographic associations
Bilingual dictionaries provide meaning associations between the words of two languages, those of an ideal bilingual speaker. Learners can use these associations to look up foreign equivalents of known native words, but are forced to use script-based lookup methods when faced with unknown foreign words. This paper presents the Pinyomi Chinese-Japanese dictionary interface, which uses a novel met...
متن کاملYencken, Lars and Timothy Baldwin (2011) Predicting and compensating for lexicon access errors, In Proceedings of the 2011 International Conference on Intelligent User Interfaces, Palo Alto, USA, pp. 185-194
Learning a foreign language is a long, error-prone process, and much of a learner’s time is effectively spent studying vocabulary. Many errors occur because words are only partly known, and thismakes theirmental storage and retrieval problematic. This paper describes how an intelligent interface may take advantage of the access structure of the mental lexicon to help predict the types of mistak...
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