'Statistical mt' diaporamas de présentation

Machine Translation- 2

1.82k views • 132 slides

Machine Translation Introduction

Machine Translation Introduction. Jan Odijk LOT Winterschool Amsterdam January 2011. Overview. MT: What is it MT: What is not possible (yet?) MT: Why is it so difficult? MT: Can we make it possible? MT: Evaluation MT: What is (perhaps) possible Conclusions. MT: What is it?.

1.1k views • 90 slides

Machine Translation Introduction

Machine Translation Introduction. Jan Odijk LOT Winterschool Amsterdam January 2011. Overview. MT: What is it MT: What is not possible (yet?) MT: Why is it so difficult? MT: Can we make it possible? MT: Evaluation MT: What is (perhaps) possible Conclusions. MT: What is it?.

910 views • 90 slides

CS457 Fall 2011 David Kauchak

937 views • 80 slides

Machine Translation: Introduction

Machine Translation: Introduction. Slides from: Dan Jurafsky. Outline. Intro and a little history Language Similarities and Divergences Three classic MT Approaches Transfer Interlingua Direct Modern Statistical MT Evaluation. What is MT?.

784 views • 76 slides

Machine Translation: Introduction

Machine Translation: Introduction. Slides from Dan Jurafsky. Outline. Intro and a little history Language Similarities and Divergences Three classic MT Approaches Transfer Interlingua Direct Modern Statistical MT Neural MT Evaluation. What is MT?.

772 views • 75 slides

Stat-XFER: A General Framework for Search-based Syntax-driven MT

726 views • 65 slides

Human Language Technology

Human Language Technology. Statistical MT. Approaching MT. There are many different ways of approaching the problem of MT. The choice of approach is complex and depends upon: Task requirements Human resources Linguistic resources. Criterial Issues.

699 views • 56 slides

Advanced Techniques in NLP

Advanced Techniques in NLP. Machine Translation III Statistical MT. Approaching MT. There are many different ways of approaching the problem of MT. The choice of approach is complex and depends upon: Task requirements Human resources Linguistic resources. Criterial Issues.

777 views • 56 slides

Introduction to MT

Introduction to MT. Ling 580 Fei Xia Week 1: 1/03/06. Outline. Course overview Introduction to MT Major challenges Major approaches Evaluation of MT systems Overview of word-based SMT. Course overview. General info. Course website:

722 views • 55 slides

CSCI 5582 Artificial Intelligence

CSCI 5582 Artificial Intelligence. Lecture 24 Jim Martin. Today 12/5. Machine Translation Background Why MT is hard Basic Statistical MT Models Training Decoding. Readings. Chapters 22 and 23 in Russell and Norvig Chapter 24 of Jurafsky and Martin. MT History.

650 views • 54 slides

Postgraduate Diploma In Translation

Postgraduate Diploma In Translation. Example Based Machine Translation Statistical Machine Translation. Three ways to lighten the load. Restrict coverage to specialised domains Exploit existing sources of knowledge (convert machine readable dictionaries)

740 views • 49 slides

Machine Translation Overview

544 views • 43 slides

English-Persian SMT

English-Persian SMT. Reza Saeedi Reza.saeedi@stu-mail.um.ac.ir. WTLAB. Wednesday, May 25, 2011. Outline. MT Introduction SMT Introduction Requirements for SMT Evaluation metrics English-Persian MT challenges English-Persian SMT System1 System2 Problems in English-Persian SMT.

494 views • 30 slides

Machine Translation

Machine Translation. Dai Xinyu 2006-10-27. Outline. Introduction Architecture of MT Rule-Based MT vs. Data-Driven MT Evaluation of MT Development of MT MT problems in general Some Thinking about MT from recognition.

410 views • 29 slides

CSA4050: Advanced Techniques in NLP

CSA4050: Advanced Techniques in NLP. Machine Translation III Statistical MT. Statistical Translation. Robust Domain independent Extensible Does not require language specialists Uses noisy channel model of translation. Noisy Channel Model Sentence Translation (Brown et. al. 1990).

380 views • 24 slides

Introduction to the Language Technologies Institute

Introduction to the Language Technologies Institute. Fall, 2008 Jaime Carbonell jgc@cs.cmu.edu. School of Computer Science at Carnegie Mellon University. Computer Science Department (theory, systems) Robotics Institute (space, industry, medical)

326 views • 22 slides

Introduction to the Language Technologies Institute

Introduction to the Language Technologies Institute. Fall, 2008 Jaime Carbonell jgc@cs.cmu.edu. School of Computer Science at Carnegie Mellon University. Computer Science Department (theory, systems) Robotics Institute (space, industry, medical)

233 views • 22 slides

Approaches to Machine Translation

Approaches to Machine Translation. CSC 5930 Machine Translation Fall 2012 Dr. Tom Way. How humans do translation?. Learn a foreign language: Memorize word translations Learn some patterns: Exercise: Passive activity: read, listen Active activity: write, speak Translation:

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How to Comine Paradigms for Machine Translation

133 views • 4 slides