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This work is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License . CS 479, section 1: Natural Language Processing. Lecture # 38: Phrase-based Translation. Lecture content by Eric Ringger, Dan Klein of UC Berkeley, and Phillip Koehn formerly of ISI.
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This work is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License. CS 479, section 1:Natural Language Processing Lecture #38: Phrase-based Translation Lecture content by Eric Ringger, Dan Klein of UC Berkeley, and Phillip Koehn formerly of ISI.
Announcements • Reading Report #14on phrase-based translation • Due: Wednesday (online) • Last one! • Final Project Reports • Due: today • Last day to submit work • The last day of instruction for the semester (Thursday), 12/6 • Final Exam: • Comprehensive • Review in Class on Wednesday • Come prepared with your questions!
Objectives • Understand phrase-based methods for statistical MT • See (near) state-of-the-art results for MT from the phrase-based approach • See a negative result for syntax in statistical MT
Phrases in Word-Alignment Models Target: Source: Restriction: multiple words in the source language can align with a single word in the target language, but not the other way around. For word-alignment models, Direction Matters!
Pruning but not admissible
Significance • Inspired fruitful follow-up work involving phrase-based and syntax-based statistical MT.
Next • Co-reference Resolution