TAILIEUCHUNG - Báo cáo khoa học: "Acquiring a Lexicon from Unsegmented Speech"

We present work-in-progress on the machine acquisition of a lexicon from sentences that are each an unsegmented phone sequence paired with a primitive representation of meaning. A simple exploratory algorithm is described, along with the direction of current work and a discussion of the relevance of the problem for child language acquisition and computer speech recognition. | Acquiring a Lexicon from Unsegmented Speech Carl de Marcken MIT Artificial Intelligence Laboratory 545 Technology Square NE43-804 Cambridge MA 02139 USA cgdemarc@ Abstract We present work-in-progress on the machine acquisition of a lexicon from sentences that are each an unsegmented phone sequence paired with a primitive representation of meaning. A simple exploratory algorithm is described along with the direction of current work and a discussion of the relevance of the problem for child language acquisition and computer speech recognition. 1 Introduction We are interested in how a lexicon of discrete words can be acquired from continuous speech a problem fundamental both to child language acquisition and to the automated induction of computer speech recognition systems see Olivier 1968 Wolff 1982 Cartwright and Brent 1994 for previous computational work in this area. For the time being we approximate the problem as induction from phone sequences rather than acoustic pressure and assume that learning takes place in an environment where simple semantic representations of the speech intent are available to the acquisition mechanism. For example we approximate the greater problem as that of learning from inputs like Phon. Input 3araebltsineyb3wt Sem. Input BOAT A IN RABBIT THE BE The rabbit s in a boat. where the semantic input is an unordered set of identifiers corresponding to word paradigms. Obviously the artificial pseudo-semantic representations make the problem much easier we experiment with them as a first step somewhere between learning language from a radio and providing an unambiguous textual transcription as might be used for training a speech recognition system. Our goal is to create a program that after training on many such pairs can segment a new phonetic utterance into a sequence of morpheme identifiers. Such output could be used cis input to many grammar acquisition programs. 2 A Simple Prototype We have implemented a simple algorithm as an

• Báo cáo khoa học
• Acquiring a Lexicon
• Unsegmented Speech
• Carl de Marcken
• 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