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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7 8 9 Hits 81 – 100 of 163 81 EFFECTS OF DIFFERENT TYPES OF AUDITORY INPUT ON INCIDENTAL VOCABULARY LEARNING BY L2 JAPANESE SPEAKERS ... Hillman, Kyoko Kobayashi. - : Digital Repository at the University of Maryland, 2020 BASE Show details 82 AI チュータの実現に向け:誤用例文コーパス データの構築と誤用文修正知識の習得 ... Aikawa, Takako. - : Zenodo, 2020 BASE Show details 83 AI チュータの実現に向け:誤用例文コーパス データの構築と誤用文修正知識の習得 ... Aikawa, Takako. - : Zenodo, 2020 BASE Show details 84 The effect of genre-based instruction on academic speech ... Unkn Unknown. - : Temple University. Libraries, 2020 BASE Show details 85 Focus on Friendship or Fights for Civil Rights? Teaching the Difficult History of Japanese American Incarceration through The Bracelet Naseem Rodriguez, Noreen In: Education Publications (2020) BASE Show details 86 “Invisibility is not a natural state for anyone”: (Re)constructing narratives of Japanese American incarceration in elementary classrooms Rodriguez, Noreen N. In: Education Publications (2020) BASE Show details 87 Refusal Expression in L2 and its Comparison with Native Speaker: A Study Case in the Japanese Language Nurjaleka, Lisda In: JURNAL ARBITRER; Vol 7, No 1 (2020); 34-44 ; 2550-1011 ; 2339-1162 (2020) BASE Show details 88 Deixis and Mind-Style in Japanese–English Literary Translation: Translating Kashimada Maki’s “Meido Meguri” and “Kyū-jū-kyū no Seppun” ... HAYDN LLOYD TROWELL. - : Monash University, 2020 BASE Show details 89 Conceptions of Human Dignity and their Impacts on hES Cell Research Regulation in France and Japan ... Yamamoto, Seiko. - : UNSW Sydney, 2020 BASE Show details 90 AGENTIVE ADVERBIALS IN JAPANESE ... : АГЕНТИВНЫЕ АДВЕРБИАЛЫ В ЯПОНСКОМ ЯЗЫКЕ ... Chironov, S.V.. - : ИП Соколова М.В., 2020 BASE Show details 91 Projected self: the de se across dimensions and beyond pronouns ... Christofaki, Rodanthi. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 92 日本語音声の時間特性に関する基礎的研究 Michinao F. MATSUI; 松井 理直. - : 神戸松蔭女子学院大学学術研究委員会, 2020 BASE Show details 93 日常会話における「～れば」の意味機能 池谷 知子; Tomoko IKEYA. - : 神戸松蔭女子学院大学学術研究委員会, 2020 BASE Show details 94 A Linguistic and Cultural Approach to Reading in JFL Richings Vicky Ann; Vicky Ann Richings. - : 神戸松蔭女子学院大学学術研究委員会, 2020 BASE Show details 95 ディケンズの『クリスマス・キャロル』を読む ; A Practical Report : The Reading of A Christmas Carol Usami Taichi; 宇佐見 太市. - : 関西大学外国語学部, 2020 BASE Show details 96 The Innateness of Human Language: Viewing from Grammatical Errors of Second Language Learners YAMADA, Toshiyuki. - : 群馬大学教育学部, 2020 BASE Show details 97 A story to tell… How to integrate the three Modes of Communication through a story time program in French Grim, Frederique In: The Coastal Review: An Online Peer-reviewed Journal (2020) BASE Show details 98 Child Naming Practice and Changing Trends in Modern Japan Mori-Kolbe, Noriko In: The Coastal Review: An Online Peer-reviewed Journal (2020) BASE Show details 99 Rule-based Synthetic Data for Japanese GEC ... Kimn, Alex; Hu, Yiqun; Aikawa, Takako. - : Zenodo, 2020 BASE Show details 100 Rule-based Synthetic Data for Japanese GEC ... Kimn, Alex; Hu, Yiqun; Aikawa, Takako. - : Zenodo, 2020 Abstract: Title: Rule-based Synthetic Data for Japanese GEC Dataset Contents: This dataset contains two parallel corpora intended for the training and evaluating of models for the NLP (natural language processing) subtask of Japanese GEC (grammatical error correction). These are as follows: Synthetic Corpus - *synthesized_data.tsv* This corpus file contains 2,179,130 parallel sentence pairs synthesized using the process described in [1]. Each line of the file consists of two sentences delimited by a tab. The first sentence is the erroneous sentence while the second is the corresponding correction. These paired sentences are derived from data scraped from the keyword-lookup site . The data within this file is primarily intended to serve as or augment a training set for a Japanese GEC model. Overall the sentences cover a broad array of primarily simple Japanese grammatical errors. Teacher Corpus - *teacher_data.tsv* This corpus file contains 6,345 parallel sentence pairs created via what we call the ... : Associated Work - Kimn, A. (May, 2020). *A syntactic rule-based framework for parallel data synthesis in Japanese GEC* (Master's thesis, Massachusetts Institute of Technology, Cambridge, MA, United States of America). Retrieved from [1] - Aikawa, T. & T. Takahashi. (2019), 「AIチュータの実現に向け:誤用例文コーパスデータの構築と誤用文修正知識の習得」,『ICT×日本語教育:ICTが作る新しい日本語教育への挑戦』當作靖彦(監修),李在鎬(編集),ひつじ書房, pp.84-98. (Toward the Development of AI Tutor: the Development of Error Corpus Data and the Acquisition Process of Grammar Error Correction, Information and Communication Technology (ICT) x Japanese Language Education: ICT's Challenges for Japanese Language Education, Eds., Yasuhiko Tohsaku, Jae-Ho LEE, Hitsuji Shobo, Tokyo, Japan, pp. 84-98.) [2] ... Keyword: common grammatical errors; corpus; grammatical error; Japanese-English; parallel sentence pairs URL: https://zenodo.org/record/4276129 https://dx.doi.org/10.5281/zenodo.4276129 BASE Hide details Page: 1 2 3 4 5 6 7 8 9

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