'Human evaluation' presentation slideshows

The Role of Bias In the Origins Debate

The Role of Bias In the Origins Debate. By Brian Forbes http://FromNoahtoHercules.com. Early in my adulthood, I had a friend from my church who went to my school; he and I were both committed young earth creationists. We both liked to read. We both liked to learn.

1.71k views • 160 slides

Evaluation of Machine Translation Systems: Metrics and Methodology

1.01k views • 89 slides

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

ROXANEH FOULADI 105474 SAYA KAYNAMA 105448 ARMITA M

ARCH 501. Instructors : PROF.DR.OZLEM OLGAC TURKER PROF.DR.UGUR.DAGLI. ROXANEH FOULADI 105474 SAYA KAYNAMA 105448 ARMITA MALEKSHAHI 105261. LEFKOSA NEW DEVELOPMENT AREA SHOPS. CONTENT. CYPRUS

829 views • 61 slides

Robot Theatre Research at PSU

Robot Theatre Research at PSU. Hough Transform for Radiation Therapy. Intelligent Robotics. Zhao, Hun. PCA for facial emotions. Labunsky. Emotional Robot. Lukac. Computer Vision. Constructive Induction Architecture with Perception of emotions. Gebauer Labunsky.

638 views • 47 slides

Machine Translation: Challenges and Approaches

Natural Language Processing. Machine Translation: Challenges and Approaches. Based on a talk by Nizar Habash http://www.nizarhabash.com/ Associate Research Scientist Center for Computational Learning Systems Columbia University, New York. Google offers translations between many languages:

535 views • 42 slides

Evaluation in NLG

Evaluation in NLG. Anja Belz, NLTG, Brighton University Ehud Reiter, CS, Aberdeen University. What is NLG?. Natural language is generated in many application contexts:. Document Summarisation. Machine Translation. Time-series data summarisation & description. Human- Computer Dialogue.

421 views • 34 slides

MT Evaluation: Human Measures and Assessment Methods

MT Evaluation: Human Measures and Assessment Methods. 11-731: Machine Translation Alon Lavie February 23, 2011. Need for MT Evaluation. MT Evaluation is important: MT systems are becoming wide-spread, embedded in more complex systems How well do they work in practice?

448 views • 27 slides

Improving SMT with Morphology Knowledge for Baltic Languages

369 views • 24 slides

Learning the Behavior of Users in a Public Space through Video Tracking

Learning the Behavior of Users in a Public Space through Video Tracking. Yan, W. and Forsyth, D. "Learning the Behavior of Users in a Public Space through Video Tracking", in Proceedings of IEEE Workshop on Applications of Computer Vision (WACV) , 2005

266 views • 15 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

Automatic Name Transliteration via OCR and NLP

Automatic Name Transliteration via OCR and NLP. Yu Cao Tao Wang. Integration. Optical Character Recognition (OCR). ICDAR 2011 dataset character embedded in natural scene histogram of oriented gradients (HOG) 8x8 window sliding across at step of 2 linear kernel SVM

160 views • 6 slides

Automatic Name Transliteration via OCR and NLP

Automatic Name Transliteration via OCR and NLP. Yu Cao Tao Wang. Integration. Optical Character Recognition (OCR). ICDAR 2011 dataset character embedded in natural scene histogram of oriented gradients (HOG) 8x8 window sliding across at step of 2 linear kernel SVM

84 views • 6 slides