口語翻譯（Spoken Language Translation， SLT）是指讓計算機實現(xiàn)從一種語言的語音到另一種語言的語音自動翻譯的過程。其理想目標是，讓計算機像人一樣充當持不同語言的說話人之間的翻譯角色。會議演講、交談（通過電話、網(wǎng)絡或面對面）、廣播等場景下的話語翻譯都是口語翻譯應用的重要領域。由于多數(shù)情況下說話人的話語都以口語風格為主，人們尤其希望翻譯系統(tǒng)可以接受并實現(xiàn)任意口語化的、自由交談式的對話語音直接翻譯。本書全面、系統(tǒng)地介紹了SLT項目研究的主要成果，內(nèi)容包括語言處理與語料收集、語言覆蓋性、語音處理和系統(tǒng)評估等各個方面，其中語言處理部分是本書的主要內(nèi)容。
作者簡介
暫缺《口語機器翻譯》作者簡介
圖書目錄
導讀 Preface Acknowledgements Introduction 1.1 What This Book Is About 1.1.1 Why Do Spoken Language Translation? 1.1.2 What Are the Basic Problems? 1.1.3 What Is It Realistic to Attempt Today? 1.1.4 What Have We Achieved? 1.2 Overall System Architecture 1.3 An Illustrative Example 1.4 In Defence of Hand-Coded Grammars 1.5 Hybrid Transfer 1.5.1 The Need for Grammatical Knowledge 1.5.2 The Need for Preferences 1.6 Speech Processing 1.7 Corpora Part 1 Language Processing and Corpora Translation Using the Core Language Engine 2.1 Introduction: Multi-Engine Translation 2.2 Word-to-Word Translation 2.3 Quasi Logical Form 2.3.1 Introduction 2.3.2 Structure of QLF 2.3.3 QLF as a Transfer Formalism: Examples 2.3.4 Head-Head Relations in QLF 2.4 Unification Grammar and QLFs 2.4.1 The CLE Unification Grammar Formalism 2.4.2 Unification Grammar Example: French Noun Phrases 2.4.3 Example 2a: Clauses in Swedish 2.4.4 Example 2b: Relative Clauses in Swedish 2.5 Orthographic Analysis and the Lexicon 2.6 Transfer Rules 2.6.1 Pre- and Posttransfer 2.7 The QLF-Based Processing Path 2.7.1 Linguistic Analysis 2.7.2 Transfer and Transfer Preferences 2.7.3 Generation 2.8 Summary Grammar Specialisation 3.1 Introduction 3.2 Explanation-Based Learning for Grammar Specialisation 3.2.1 A Definition of Explanation-Based Learning 3.2.2 Explanation-Based Learning on Unification Grammars 3.2.3 Category Specialisation 3.2.4 Elaborate Cutting-Up Criteria 3.3 An LR Parsing Method for Specialised Grammars 3.3.1 Basic LR Parsing 3.3.2 Prefix Merging 3.3.3 Abstraction 3.4 Empirical Results 3.4.1 Experimental Setup 3.4.2 Discussion of Results 3.5 Conclusions Choosing among Interpretations 4.1 Properties and Discriminants 4.2 Constituent Pruning 4.2.1 Discriminants for Pruning 4.2.2 Deciding Which Edges to Prune 4.2.3 Probability Estimates for Discriminants 4.2.4 Relation to Other Pruning Methods 4.3 Choosing among QLF Analyses 4.3.1 Analysis Choice: An Example 4.3.2 Further Advantages of a Discriminant Scheme . 4.3.3 Numerical Metrics 4.4 Choosing among Transferred QLFs 4.5 Choosing Paths in the Chart The TreeBanker 5.1 Motivation 5.2 Representational Issues 5.3 Overview of the TreeBanker 5.4 The Supervised Training Process 5.4.1 Properties and Discriminants in Training 5.4.2 Additional Functionality 5.5 Training for Transfer Choice 5.6 Evaluation and Conclusions Acquisition of Lexical Entries 6. 1 The Lexical Acquisition Tool, LexMake 6.2 Acquiring Word-to-Word Transfer Rules 6.3 Evaluation and Conclusions Spelling and Morphology 7.1 Introduction 7.2 The Description Language 7.2.1 Morphophonology 7.2.2 Word Formation and Interfacing to Syntax 7.3 Compilation 7.3.1 Compiling Spelling Patterns 7.3.2 Representing Lexical Roots 7.3.3 Applying Obligatory Rules 7.3.4 Interword Rules 7.3.5 Timings 7.4 Some Examples 7.4.1 Multiple-Letter Spelling Changes 7.4.2 Using Features to Control Rule Application 7.4.3 Interword Spelling Changes 7.5 Debugging the Rules …… Part 2 Linguistic Coverage Part 3 Speech Processing
鄂公網(wǎng)安備 42010302001612號 