TAILIEUCHUNG - Báo cáo khoa học: "A Finite-State Model of Human Sentence Processing"

It has previously been assumed in the psycholinguistic literature that finite-state models of language are crucially limited in their explanatory power by the locality of the probability distribution and the narrow scope of information used by the model. We show that a simple computational model (a bigram part-of-speech tagger based on the design used by Corley and Crocker (2000)) makes correct predictions on processing difficulty observed in a wide range of empirical sentence processing data. . | A Finite-State Model of Human Sentence Processing Jihyun Park and Chris Brew Department of Linguisitcs The Ohio State University Columbus OH USA park cbrew @ Abstract It has previously been assumed in the psycholinguistic literature that finite-state models of language are crucially limited in their explanatory power by the locality of the probability distribution and the narrow scope of information used by the model. We show that a simple computational model a bigram part-of-speech tagger based on the design used by Corley and Crocker 2000 makes correct predictions on processing difficulty observed in a wide range of empirical sentence processing data. We use two modes of evaluation one that relies on comparison with a control sentence paralleling practice in human studies another that measures probability drop in the disambiguating region of the sentence. Both are surprisingly good indicators of the processing difficulty of garden-path sentences. The sentences tested are drawn from published sources and systematically explore five different types of ambiguity previous studies have been narrower in scope and smaller in scale. We do not deny the limitations of finite-state models but argue that our results show that their usefulness has been underestimated. 1 Introduction The main purpose of the current study is to investigate the extent to which a probabilistic part-of-speech POS tagger can correctly model human sentence processing data. Syntactically ambiguous sentences have been studied in great depth in psycholinguistics because the pattern of ambiguity resolution provides a window onto the human sentence processing mechanism HSPM . Prima facie it seems unlikely that such a tagger will be adequate because almost all previous researchers have assumed following standard linguistic theory that a formally adequate account of recursive syntactic structure is an essential component of any model of the behaviour. In this study we tested a bigram POS

• Báo cáo khoa học
• A Finite State Model of Human
• Sentence Processing
• Jihyun Park and Chris Brew
• báo cáo khoa học
• mô hình 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 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