'Mt evaluation' presentation slideshows

Evaluating the Output of Machine Translation Systems

Evaluating the Output of Machine Translation Systems. Alon Lavie Associate Research Professor, Carnegie Mellon University President, Safaba Translation Solutions President, Association for MT in the Americas (AMTA) AMTA 2010 Tutorial Denver, Colorado, USA October 31, 2010. Outline.

1.27k views • 86 slides

Automatic methods of MT evaluation

Automatic methods of MT evaluation. Lecture 20/03/2006 MODL5003 Principles and applications of machine translation Bogdan Babych <bogdan@comp.leeds.ac.uk>. Overview. Aspects of MT evaluation Text Quality evaluation Advantages / disadvantages of automatic techniques

682 views • 46 slides

An Introduction to MT Evaluation

502 views • 31 slides

BLEU, Its Variants & Its Critics

BLEU, Its Variants & Its Critics. Arthur Chan Prepared for Advanced MT Seminar. This Talk. Original BLEU scores (Papineni 2002) Motivation Procedure NIST: as a major BLEU variant Critics of BLEU From alternate evaluation metrics METEOR: (Lavie 2004, Banerjee 2005)

387 views • 23 slides

Rationale for a multilingual corpus for machine translation evaluation

Rationale for a multilingual corpus for machine translation evaluation. Debbie Elliott Anthony Hartley Eric Atwell Corpus Linguistics 2003, Lancaster, England. Outline. Brief introduction to machine translation evaluation methods. Corpus content for MT evaluation by end-users.

357 views • 23 slides

Towards the Use of Linguistic Information in Automatic MT Evaluation Metrics

Towards the Use of Linguistic Information in Automatic MT Evaluation Metrics. Projecte de Tesi Elisabet Comelles Directores Irene Castellon i Victoria Arranz. Outline. Introduction State of the Art Discussion of MT Evaluation Metrics Hypothesis & Objective Methodology & Schedule.

366 views • 21 slides

Large Language Models in Machine Translation

Large Language Models in Machine Translation. Thorsten Brants , Ashok C. Popat , Peng Xu , Franz J. Och , Jeffrey Dean. Conference on Empirical Methods in Natural Language Processing 2007. Google , Inc. ???????. Outline. Introduction Stupid Backoff Experiments Conclusion.

414 views • 15 slides

11-734 Advanced MT Seminar Spring 2008

11-734 Advanced MT Seminar Spring 2008. Instructors: Alon Lavie and Stephan Vogel. Course Objectives. Objective: Study and review in depth a selection of important research topics in current state-of-the-art MT Main Focus: Data-driven search-based MT approaches

250 views • 12 slides

Evaluation State-of the-art and future actions

Evaluation State-of the-art and future actions. Bente Maegaard CST, University of Copenhagen bente@cst.dk. Evaluation at LREC. More than 150 papers were submitted to the Evaluation track, both Written and Spoken This is a significant rise compared to previous years

165 views • 7 slides

Meteor & M-BLEU : Evaluation Metrics for High Correlation with Human Rankings of MT Output

Objective. MT Evaluation has become integral to the development of SMT systems which can be tuned towards the evaluation metrics directly. To be tuned against, a metric should be fast and easy to compute

138 views • 1 slides