Tagging and Statistically Translating Latin Sentences Andrew Runge Computer Systems Lab 2009-2010

Abstract Goal: Create an accurate Latin translator Methods: Language Rules Machine Learning Computer-Assisted Translation Statistical Translation Language: Python

Introduction Language Translators Machine Learning Word Tagging Statistical Translation Parts of Speech

Background Machine Learning Word Tagging Type, case, tense, etc. Statistical Translation N-Grams Part of Speech Pairings Computer Assisted Translation

Figure 1: Tree of words sorted by sentence role from the assorted works of Cicero generated by the methods of McMahon and Smith

Discussion Dictionary creation Dictionary Keys and values Word Tagging Nouns v. Verbs

Example of word tagging from similar experiment by Bowden

Discussion Translation: Forms Human Element http://media.photobucket.com/image/computers%20and%20people/tinker2/garfield_computer.jpg

Figure 2: Demonstration of n-gram generation for determining word order in a sentence. Generated by Chen et al.

Dictionaries

Dictionaries

Results

Future Work Current Continued Work: Tag Culling Machine translation Additional grammar support