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Personalized reading support for second-language web documents

Authors:

Nobuyuki Shimizu,

Takashi Ninomiya,

Hiroshi NakagawaAuthors Info & Claims

ACM Transactions on Intelligent Systems and Technology (TIST), Volume 4, Issue 2

Article No.: 31, Pages 1 - 19

https://doi.org/10.1145/2438653.2438666

Published: 03 April 2013 Publication History

Abstract

A novel intelligent interface eases the browsing of Web documents written in the second languages of users. It automatically predicts words unfamiliar to the user by a collective intelligence method and glosses them with their meaning in advance. If the prediction succeeds, the user does not need to consult a dictionary; even if it fails, the user can correct the prediction. The correction data are collected and used to improve the accuracy of further predictions. The prediction is personalized in that every user's language ability is estimated by a state-of-the-art language testing model, which is trained in a practical response time with only a small sacrifice of prediction accuracy. The system was evaluated in terms of prediction accuracy and reading simulation. The reading simulation results show that this system can reduce the number of clicks for most readers with insufficient vocabulary to read documents and can significantly reduce the remaining number of unfamiliar words after the prediction and glossing for all users.

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Cited By

Ehara Y(2023)Innovative Software to Efficiently Learn English Through Extensive Reading and Personalized Vocabulary AcquisitionArtificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky10.1007/978-3-031-36336-8_28(187-192)Online publication date: 30-Jun-2023
https://doi.org/10.1007/978-3-031-36336-8_28
Ehara Y(2022)Uncertainty-aware Personalized Readability Assessment Framework for Second Language LearnersJournal of Information Processing10.2197/ipsjjip.30.35230(352-360)Online publication date: 2022
https://doi.org/10.2197/ipsjjip.30.352
Ehara Y(2021)LURAT: a Lightweight Unsupervised Automatic Readability Assessment Toolkit for Second Language Learners2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)10.1109/ICTAI52525.2021.00129(806-814)Online publication date: Nov-2021
https://doi.org/10.1109/ICTAI52525.2021.00129
Show More Cited By

Index Terms

Personalized reading support for second-language web documents
1. Applied computing
  1. Document management and text processing
    1. Document preparation
      1. Multi / mixed media creation
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Hypertext / hypermedia
      2. Natural language interfaces

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Information & Contributors

Information

Published In

cover image ACM Transactions on Intelligent Systems and Technology

ACM Transactions on Intelligent Systems and Technology Volume 4, Issue 2

Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems

March 2013

339 pages

ISSN:2157-6904

EISSN:2157-6912

DOI:10.1145/2438653

Issue’s Table of Contents

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 April 2013

Accepted: 01 April 2011

Revised: 01 January 2011

Received: 01 October 2010

Published in TIST Volume 4, Issue 2

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Cited By

Ehara Y(2023)Innovative Software to Efficiently Learn English Through Extensive Reading and Personalized Vocabulary AcquisitionArtificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky10.1007/978-3-031-36336-8_28(187-192)Online publication date: 30-Jun-2023
https://doi.org/10.1007/978-3-031-36336-8_28
Ehara Y(2022)Uncertainty-aware Personalized Readability Assessment Framework for Second Language LearnersJournal of Information Processing10.2197/ipsjjip.30.35230(352-360)Online publication date: 2022
https://doi.org/10.2197/ipsjjip.30.352
Ehara Y(2021)LURAT: a Lightweight Unsupervised Automatic Readability Assessment Toolkit for Second Language Learners2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)10.1109/ICTAI52525.2021.00129(806-814)Online publication date: Nov-2021
https://doi.org/10.1109/ICTAI52525.2021.00129
YÜCEL ZSUPITAYAKUL PMONDEN ALEELAPRUTE P(2020)An Algorithm for Automatic Collation of Vocabulary Decks Based on Word FrequencyIEICE Transactions on Information and Systems10.1587/transinf.2019EDP7279E103.D:8(1865-1874)Online publication date: 1-Aug-2020
https://doi.org/10.1587/transinf.2019EDP7279
Ehara Y(2020)Neural Rasch Model: How Do Word Embeddings Adjust Word Difficulty?Computational Linguistics10.1007/978-981-15-6168-9_8(88-96)Online publication date: 2-Jul-2020
https://doi.org/10.1007/978-981-15-6168-9_8
Ehara Y(2019)Graph-Based Analysis of Similarities between Word Frequency Distributions of Various Corpora for Complex Word Identification2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)10.1109/ICMLA.2019.00317(1982-1986)Online publication date: Dec-2019
https://doi.org/10.1109/ICMLA.2019.00317
Ehara Y(2019)Uncertainty-Aware Personalized Readability Assessments for Second Language Learners2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)10.1109/ICMLA.2019.00307(1909-1916)Online publication date: Dec-2019
https://doi.org/10.1109/ICMLA.2019.00307
Ehara YSato IOiwa HNakagawa H(2018)Mining Words in the Minds of Second Language Learners for Learner-specific Word DifficultyJournal of Information Processing10.2197/ipsjjip.26.26726(267-275)Online publication date: 2018
https://doi.org/10.2197/ipsjjip.26.267
Ehara YBaba YUtiyama MSumita E(2016)Assessing translation ability through vocabulary ability assessmentProceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence10.5555/3061053.3061138(3712-3718)Online publication date: 9-Jul-2016
https://dl.acm.org/doi/10.5555/3061053.3061138

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