A Japanese dialogue-based CALL system with mispronunciation and grammar error detection

نویسندگان

  • Oh Pyo Kweon
  • Akinori Ito
  • Motoyuki Suzuki
  • Shozo Makino
چکیده

This paper describes a dialogue-based CALL (Computer Assisted Language Learning) system. One of the major problems in CALL systems is that learners are usually assigned a passive role. Learners have no practices in composing their own utterances. The other major problem is that lots of conventional CALL systems are pronunciation exercise systems. However, pronunciation exercise is only a part of exercise needed to increase a learner’s communication skill. In this paper, we propose a dialoguebased CALL system of new concept that enables exercise of composition, grammar and conversation in addition to pronunciation.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Phoneme Set Design Using English Speech Database by Japanese for Dialogue-Based English CALL Systems

This paper describes a method of generating a reduced phoneme set for dialogue-based computer assisted language learning (CALL) systems. We designed a reduced phoneme set consisting of classified phonemes more aligned with the learners’ speech characteristics than the canonical set of a target language. This reduced phoneme set provides an inherently more appropriate model for dealing with misp...

متن کامل

Tutorial Dialogue in DiBEx

A dialogue-based explanation facility for Intelligent CALL (ICALL) Systems is introduced. Our prototype system, DiBEx, uses meta reasoning to build up an explanation (error) tree, given a faulty user input. It relies on correct grammar sub theories, instead of explicit error taxonomies. The system enters in a tutorial dialogue with the student, where each explanation step is based on the princi...

متن کامل

Methods for pronunciation assessment in computer aided language learning

Learning a foreign language is a challenging endeavor that entails acquiring a wide range of new knowledge including words, grammar, gestures, sounds, etc. Mastering these skills all require extensive practice by the learner and opportunities may not always be available. Computer Aided Language Learning (CALL) systems provide non-threatening environments where foreign language skills can be pra...

متن کامل

Improvement of Segmental Mispronunciation Detection with Prior Knowledge Extracted from Large L2 Speech Corpus

In this paper, we propose novel methods that utilize prior mispronunciation knowledge extracted from large L2 speech corpus to improve segmental mispronunciation detection performance. Mispronunciation rules are categorized and the occurrence frequency of each error type is calculated from phonelevel annotation of the corpora. Based on these rules and statistics of mispronunciations, we constru...

متن کامل

Context Aware Mispronunciation Detection for Mandarin Pronunciation Training

Mispronunciation detection is an important component in a computer-assisted language learning (CALL) system. Many CALL systems only provide pronunciation correctness as the single feedback, which is not very informative for language learners. This paper proposes a context aware multilayer framework for Mandarin mispronunciation detection. The proposed framework incorporates the context informat...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004