1. Statistical Machine Translation
Raghav Bashyal

2. Statistical Machine Translation
Uses pre-translated text (copora)
Compare translated text to original
Notice patterns, associate words

3. Project Translate basic text from Spanish to English
Test effectiveness
with/without hard-coded components (syntax)
Specific procedures/algorithms that add speed

4. Literature Guides on Statistical Machine Translation NLTK UC Berkeley
Christina Wallin
UC Berkeley
Modifications
Larger text more useful
“state of the art” implementation
Google

5. Procedure NLTK – Natural Language ToolKit
Python
Made from Natural Language processing projects
Current procedure – read the NLTK book
Jump off and write relevant code

6. Expected Results Probably will be very basic translation
Usually perform better with “sample” text than “real” text
Highlighted errors
Program should use reference data to find some errors
Error frequency plots for certain words
Test the effectiveness of adjustments
Hard coding, other algorithms