Multilingual Text Entry using Automatic Language Detection. - Yo Ehara; Kumiko Tanaka-Ishii (IJCNLP, 2008)

Personalized reading support for second-language web documents by collective intelligence. - Yo Ehara; Nobuyuki Shimizu; Takashi Ninomiya; Hiroshi Nakagawa (IUI, 2010)

Understanding seed selection in bootstrapping. - Yo Ehara; Issei Sato; Hidekazu Oiwa; Hiroshi Nakagawa (TextGraphs@EMNLP, 2013)

Personalized reading support for second-language web documents. - Yo Ehara; Nobuyuki Shimizu; Takashi Ninomiya; Hiroshi Nakagawa (ACM Trans. Intell. Syst. Technol., 2013)

Formalizing Word Sampling for Vocabulary Prediction as Graph-based Active Learning. - Yo Ehara; Yusuke Miyao; Hidekazu Oiwa; Issei Sato; Hiroshi Nakagawa (EMNLP, 2014)

Risk-aware distribution of SMT outputs for translation of documents targeting many anonymous readers. - Yo Ehara; Masao Utiyama; Eiichiro Sumita (IWSLT, 2015)

Generating Video Description using Sequence-to-sequence Model with Temporal Attention. - Natsuda Laokulrat; Sang Phan; Noriki Nishida; Raphael Shu; Yo Ehara; Naoaki Okazaki; Yusuke Miyao; Hideki Nakayama (COLING, 2016)

Visualizing High-Risk Paths using Geo-tagged Social Data for Disaster Mitigation. - Masaki Kanno; Yo Ehara; Masaharu Hirota; Shohei Yokoyama; Hiroshi Ishikawa 004 (LBSN@SIGSPATIAL/GIS, 2016)

Assessing Translation Ability through Vocabulary Ability Assessment. - Yo Ehara; Yukino Baba; Masao Utiyama; Eiichiro Sumita (IJCAI, 2016)

Inferring Tourist Behavior and Purposes of a Twitter User. - Yuya Nozawa; Masaki Endo; Yo Ehara; Masaharu Hirota; Shohei Yokoyama; Hiroshi Ishikawa 004 (PRICAI Workshops, 2016)

Language-Independent Prediction of Psycholinguistic Properties of Words. - Yo Ehara (IJCNLP(2), 2017)

Building an English Vocabulary Knowledge Dataset of Japanese English-as-a-Second-Language Learners Using Crowdsourcing. - Yo Ehara (LREC, 2018)

Mining Words in the Minds of Second Language Learners for Learner-specific Word Difficulty. - Yo Ehara; Issei Sato; Hidekazu Oiwa; Hiroshi Nakagawa (J. Inf. Process., 2018)

Analyzing Similarities between Word Frequency Distributions of Various Corpora to Find Effective Features for Complex Word Identification. - Yo Ehara (ICDM Workshops, 2019)

Uncertainty-Aware Personalized Readability Assessments for Second Language Learners. - Yo Ehara (ICMLA, 2019)

Graph-Based Analysis of Similarities between Word Frequency Distributions of Various Corpora for Complex Word Identification. - Yo Ehara (ICMLA, 2019)

Neural Rasch Model: How Do Word Embeddings Adjust Word Difficulty? - Yo Ehara (PACLING, 2019)

Supervised Visualization of Vocabulary Knowledge towards Explainable Support of Second Language Learners. - Yo Ehara (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), 2020)

Interpreting Neural CWI Classifiers' Weights as Vocabulary Size. - Yo Ehara (BEA@ACL, 2020)

To What Extent Does Lexical Normalization Help English-as-a-Second Language Learners to Read Noisy English Texts? - Yo Ehara (W-NUT, 2021)

Evaluation of Unsupervised Automatic Readability Assessors Using Rank Correlations. - Yo Ehara (Eval4NLP, 2021)

LURAT: a Lightweight Unsupervised Automatic Readability Assessment Toolkit for Second Language Learners. - Yo Ehara (ICTAI, 2021)

Readability and Linearity. - Yo Ehara (PACLIC, 2021)

Assessing Readability of Learning Materials on Artificial Intelligence in English for Second Language Learners. - Yo Ehara (AIED (2), 2022)

Distributional Estimation of Personalized Second-Language Vocabulary Sizes with Wordlists that the Learner is Likely to Know. - Yo Ehara (AIED (2), 2022)

An Intelligent Interactive Support System for Word Usage Learning in Second Languages. - Yo Ehara (AIED (1), 2022)

Predicting Second Language Learners' Actual Knowledge Using Self-perceived Knowledge. - Yo Ehara (AIED (1), 2022)

Neural Language Model-based Readability Assessment of Computer Science Introductory Texts for English-as-a-Second Language Learners. - Yo Ehara (CogSci, 2022)

Analyzing Reliability of Interpretable Parameters in Deep Learning Language Models. - Yo Ehara (CogSci, 2022)

No Meaning Left Unlearned: Predicting Learners' Knowledge of Atypical Meanings of Words from Vocabulary Tests for Their Typical Meanings. - Yo Ehara (EDM, 2022)

Selecting Reading Texts Suitable for Incidental Vocabulary Learning by Considering the Estimated Distribution of Acquired Vocabulary. - Yo Ehara (EDM, 2022)

Evaluating Deep Transfer Learning Models for Assessing Text Readability for ESL Learners. - Yo Ehara (ICCE, 2022)

Analyzing Semantically Distinctive English Word Usages in Computer Science for English-as-a-Second-Language Learners. - Yo Ehara (ITiCSE (2), 2022)

Uncertainty-aware Personalized Readability Assessment Framework for Second Language Learners. - Yo Ehara (J. Inf. Process., 2022)

Innovative Software to Efficiently Learn English Through Extensive Reading and Personalized Vocabulary Acquisition. - Yo Ehara (AIED (Posters/Late Breaking Results/...), 2023)

A Support System to Help Teachers Design Course Plans Conforming to National Curriculum Guidelines. - Yo Ehara (AIED (Posters/Late Breaking Results/...), 2023)

A Writing Support System that Scaffolds Language Learners via Autocompletion with Difficulty Prediction. - Yo Ehara (AI-GEL@AIED, 2023)

Applying Large Language Models to Generate High-Quality Multiple-Choice Test Questions. - Yo Ehara (CogSci, 2023)

Formulating Textual Difficulty of Questions as Population who Answer Correctly. - Yo Ehara (CogSci, 2023)

Course Concepts: How Readable Are They for ESL Learners? - Yo Ehara (EDM, 2023)

Measuring Similarity between Manual Course Concepts and ChatGPT-generated Course Concepts. - Yo Ehara (EDM, 2023)

A Novel Interpretation of Classical Readability Metrics: Revisiting the Language Model Underpinning the Flesch- Kincaid Index. - Yo Ehara (ICCE, 2023)

Analyzing Readability of Academic Paper Abstracts for ESL Learners across Various Computer Science Subfields. - Yo Ehara (SIGCSE (2), 2023)