Search Results for author: Jhih-Jie Chen

Found 13 papers, 0 papers with code

LinggleWrite: a Coaching System for Essay Writing

no code implementations ACL 2020 Chung-Ting Tsai, Jhih-Jie Chen, Ching-Yu Yang, Jason S. Chang

This paper presents LinggleWrite, a writing coach that provides writing suggestions, assesses writing proficiency levels, detects grammatical errors, and offers corrective feedback in response to user{'}s essay.

Automated Essay Scoring Grammatical Error Detection

Level-Up: Learning to Improve Proficiency Level of Essays

no code implementations ACL 2019 Wen-Bin Han, Jhih-Jie Chen, Ching-Yu Yang, Jason Chang

We introduce a method for generating suggestions on a given sentence for improving the proficiency level.

Sentence

Learning to Respond to Mixed-code Queries using Bilingual Word Embeddings

no code implementations NAACL 2019 Chia-Fang Ho, Jason Chang, Jhih-Jie Chen, Ching-Yu Yang

We present a method for learning bilingual word embeddings in order to support second language (L2) learners in finding recurring phrases and example sentences that match mixed-code queries (e. g., {``}接 受 sentence{''}) composed of words in both target language and native language (L1).

Sentence Translation +2

LanguageNet: Learning to Find Sense Relevant Example Sentences

no code implementations COLING 2018 Shang-Chien Cheng, Jhih-Jie Chen, Ching-Yu Yang, Jason Chang

In this paper, we present a system, LanguageNet, which can help second language learners to search for different meanings and usages of a word.

Word Alignment

Learning Synchronous Grammar Patterns for Assisted Writing for Second Language Learners

no code implementations IJCNLP 2017 Chi-En Wu, Jhih-Jie Chen, Jim Chang, Jason Chang

A synchronous grammar pattern describes a grammar pattern in the target language (e. g., English) and its counterpart in an other language (e. g., Mandarin), serving the purpose of native language support.

valid

Verb Replacer: An English Verb Error Correction System

no code implementations IJCNLP 2017 Yu-Hsuan Wu, Jhih-Jie Chen, Jason Chang

According to the analysis of Cambridge Learner Corpus, using a wrong verb is the most common type of grammatical errors.

regression Sentence

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