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Activity Number: 257
Type: Contributed
Date/Time: Monday, August 10, 2015 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Graphics
Abstract #317647
Title: Exploratory Data Analysis of a Large Parallel Corpus: A Case Study on the Open Document System of the UN
Author(s): Mario Morales and Roxana Gib*
Companies: Stanford University/Mount Sinai School of Medicine and West University of Timisoara
Keywords: Exploratory Data Analysis ; word2vec ; Machine Translation ; Natural Language Processing ; EDA ; ODS
Abstract:

Recent advances in natural language processing in the area of machine translation are producing measures called word2vec that are based on PCA. In our study we attempt to discover the working mechanisms hidden in the datasets that allow these measures to work using exploratory data analysis techniques. Our other goal, apart from describing patterns or anomalies in the data, is the creation of an interactive based tutorial that can be used by current and future students and practitioners.

Authors who are presenting talks have a * after their name.

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