TAILIEUCHUNG - Báo cáo khoa học: "Realistic Grammar Error Simulation using Markov Logic"

The development of Dialog-Based ComputerAssisted Language Learning (DB-CALL) systems requires research on the simulation of language learners. This paper presents a new method for generation of grammar errors, an important part of the language learner simulator. Realistic errors are generated via Markov Logic, which provides an effective way to merge a statistical approach with expert knowledge about the grammar error characteristics of language learners. Results suggest that the distribution of simulated grammar errors generated by the proposed model is similar to that of real learners. Human judges also gave consistently close judgments on the quality of the real and. | Realistic Grammar Error Simulation using Markov Logic Sungjin Lee Pohang University of Science and Technology Pohang Korea junion@ Gary Geunbae Lee Pohang University of Science and Technology Pohang Korea gblee@ Abstract The development of Dialog-Based Computer-Assisted Language Learning DB-CALL systems requires research on the simulation of language learners. This paper presents a new method for generation of grammar errors an important part of the language learner simulator. Realistic errors are generated via Markov Logic which provides an effective way to merge a statistical approach with expert knowledge about the grammar error characteristics of language learners. Results suggest that the distribution of simulated grammar errors generated by the proposed model is similar to that of real learners. Human judges also gave consistently close judgments on the quality of the real and simulated grammar errors. 1 Introduction Second Language Acquisition SLA researchers have claimed that feedback provided during conversational interaction facilitates the acquisition process. Thus interest in developing DialogBased Computer Assisted Language Learning DB-CALL systems is rapidly increasing. However developing DB-CALL systems takes a long time and entails a high cost in collecting learners data. Also evaluating the systems is not a trivial task because it requires numerous language learners with a wide range of proficiency levels as subjects. While previous studies have considered user simulation in the development and evaluation of spoken dialog systems Schatzmann et al. 2006 they have not yet simulated grammar errors because those systems were assumed to be used by native speakers who normally produce few grammar errors in utterances. However as telephone-based information access systems become more commonly available to the general public the inability to deal with non-native speakers is becoming a serious limitation since at least for some .

• Báo cáo khoa học
• Realistic Grammar Error Simulation
• Markov Logic
• Sungjin Lee Pohang
• báo cáo khoa học
• báo cáo ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Bài giảng Xử lý ngôn ngữ tự nhiên
• Ngôn ngữ tự nhiên
• Kỹ thuật lập trình
• Xử lý nhập nhằng ngữ nghĩa
• Xử lý ngữ nghĩa
• Xử lý ngôn ngữ
• Natural Language Processing
• Ngôn ngữ lập trình
• Nhập nhằng cấu trúc
• Tri thức về ngôn ngữ
• Mô hình ngôn ngữ
• Mô hình n gram
• Dịch máy
• Phương pháp dịch máy
• Hiểu ngôn ngữ
• Phân tích ngữ nghĩa
• Phân loại tin tự động
• Biểu diễn vị từ
• Thuộc tính về sự kiện
• Thuộc tính về sự kiện
• Mô hình ngôn ngữ Google Book N grams
• Mô hình ngôn ngữ KenLM
• Phương pháp làm mịn
• Tách từ tiếng Việt
• Gán nhãn từ loại
• Phân tích cú pháp
• Nghĩa từ vựng
• Phân giải nhập nhằng từ
• Phân loại văn bản
• Lexical chain
• Phản hồi thông tin
• Bài toán PTCP
• Cấu trúc ngữ pháp
• Phân tích cú pháp xác suất
• CKY kết hợp xác suất
• Văn phạm phi ngữ cảnh xác suất
• Hình thái học