计算机语言学语料库语言学机器翻译.ppt
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? What is the impact of the Internet on machine translation?
1. Computational Linguistics
1.1 Definition (p226)
? A branch of applied linguistics, dealing with cwenku.baidu.commputer processing of human language.
? Corpus : a collection of linguistic data, either compiled as written texts or as transcription of recorded speech.
? Corpus linguistics deals with the principles and practice of using corpora in language study.
4.2 Features of the corpus
? Representativeness ? Finite size ? Machine-readable form ? A standard reference
3. Machine Translation
3.3 Research methods
? Rule -based: Transfer- & dictionary-based, interlingual ? Knowledge -based: semantic, pragmatic, real-world ? Corpus -based: statistical, example-based
2.3 Types of CALL programs
? Davies & Higgins (1985): Gapmaster, Mazes, etc. ? Jones & Fortescue (1987): Matchmaster, Wordstore, etc. ? Higgins (1993): Customizing, Computer networks, etc
English Linguistics: An Introduction
Chapter 10 Language and Computer
Chapter 10 Language and Computer
0. Warm-up Questions 1. Computational Linguistics 2. CALL 3. Machine Translation 4. Corpus Linguistics
0. Warm-up Questions
? In what ways can computer facilitate our language learning?
? To what extent do you rely on computer in your English learning?
? How to improve the output quality of machine translation?
3. Machine Translation
3.1 Introduction
? Definition : the use of machine (usually computers) to translate text (or speech) from one natural L to another.
3.4 Advantages and Problems
? Advantages: cost-effective, time-saving ? Problems : output quality hard to ensure (reasons?)
4. Corpus Linguistics
4.1 Definition (p238)
2.4 Advantages and Problems
? Advantages ? Motivation, adaptive, authenticity, critical thinking ? Problems (Limitations of the technology) ? ability (human-like interaction), availability (cost), etc.
2.2 Phases of CALL
? Behavioristic CALL: computer as tutor ? Communicative CALL: computer as stimulus ? Integrative CALL: multimedia and the Internet
2. CALL
1.2 Related subjects
? Programmed instruction 编序教学法、程式化教学 ? Speech synthesis 言语合成 ? Automatic recognition of human speech ? Automatic translation of natural languages ? Communication between people and computers ? Text processing, etc
2. CALL
2.1 CAI, CAL, CALL (p226)
? CAI : Computer-assisted Instruction ? CAL : Computer-assisted Learning ? CALL : Computer-assisted Language Learning
? Types : Unassisted MT and Assisted MT; T2T MT, S2S MT, S2T MT, T2S MT
3.2 History of development
? 1950s: independent work by MT researchers ? 1960s: hope for good quality ? Since 1970s: computer-based tools
1. Computational Linguistics
1.1 Definition (p226)
? A branch of applied linguistics, dealing with cwenku.baidu.commputer processing of human language.
? Corpus : a collection of linguistic data, either compiled as written texts or as transcription of recorded speech.
? Corpus linguistics deals with the principles and practice of using corpora in language study.
4.2 Features of the corpus
? Representativeness ? Finite size ? Machine-readable form ? A standard reference
3. Machine Translation
3.3 Research methods
? Rule -based: Transfer- & dictionary-based, interlingual ? Knowledge -based: semantic, pragmatic, real-world ? Corpus -based: statistical, example-based
2.3 Types of CALL programs
? Davies & Higgins (1985): Gapmaster, Mazes, etc. ? Jones & Fortescue (1987): Matchmaster, Wordstore, etc. ? Higgins (1993): Customizing, Computer networks, etc
English Linguistics: An Introduction
Chapter 10 Language and Computer
Chapter 10 Language and Computer
0. Warm-up Questions 1. Computational Linguistics 2. CALL 3. Machine Translation 4. Corpus Linguistics
0. Warm-up Questions
? In what ways can computer facilitate our language learning?
? To what extent do you rely on computer in your English learning?
? How to improve the output quality of machine translation?
3. Machine Translation
3.1 Introduction
? Definition : the use of machine (usually computers) to translate text (or speech) from one natural L to another.
3.4 Advantages and Problems
? Advantages: cost-effective, time-saving ? Problems : output quality hard to ensure (reasons?)
4. Corpus Linguistics
4.1 Definition (p238)
2.4 Advantages and Problems
? Advantages ? Motivation, adaptive, authenticity, critical thinking ? Problems (Limitations of the technology) ? ability (human-like interaction), availability (cost), etc.
2.2 Phases of CALL
? Behavioristic CALL: computer as tutor ? Communicative CALL: computer as stimulus ? Integrative CALL: multimedia and the Internet
2. CALL
1.2 Related subjects
? Programmed instruction 编序教学法、程式化教学 ? Speech synthesis 言语合成 ? Automatic recognition of human speech ? Automatic translation of natural languages ? Communication between people and computers ? Text processing, etc
2. CALL
2.1 CAI, CAL, CALL (p226)
? CAI : Computer-assisted Instruction ? CAL : Computer-assisted Learning ? CALL : Computer-assisted Language Learning
? Types : Unassisted MT and Assisted MT; T2T MT, S2S MT, S2T MT, T2S MT
3.2 History of development
? 1950s: independent work by MT researchers ? 1960s: hope for good quality ? Since 1970s: computer-based tools