LREC 2000 - Papers

LREC 2000 2^nd International Conference on Language Resources & Evaluation

Conference Papers

Papers by paper title: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Papers by ID number: 1-50, 51-100, 101-150, 151-200, 201-250, 251-300, 301-350, 351-377.

List of all papers and abstracts.

Previous Paper Next Paper

Title Cairo: An Alignment Visualization Tool

Authors Smith Noah A. (University of Maryland, College Park, Maryland, USA, nasmith@cs.umd.edu)
Jahr Michael E. (Stanford University, Stanford, California, USA, mjahr@stanford.edu)

Keywords Java, Statistical Machine Translation, Visualization, Word Alignment

Session Session WP3 - Multilingual Corpora

Abstract While developing a suite of tools for statistical machine translation research, we recognized the need for a visualization tool that would allow researchers to examine and evaluate specific word correspondences generated by a translation system. We developed Cairo to fill this need. Cairo is a free, open-source, portable, user-friendly, GUI-driven program written in Java that provides a visual representation of word correspondences between bilingual pairs of sentences, as well as relevant translation model parameters. This program can be easily adapted for visualization of correspondences in bi-texts based on probability distributions.

ana">

Title	Cairo: An Alignment Visualization Tool
Authors	Smith Noah A. (University of Maryland, College Park, Maryland, USA, nasmith@cs.umd.edu) Jahr Michael E. (Stanford University, Stanford, California, USA, mjahr@stanford.edu)
Keywords	Java, Statistical Machine Translation, Visualization, Word Alignment
Session	Session WP3 - Multilingual Corpora
Abstract	While developing a suite of tools for statistical machine translation research, we recognized the need for a visualization tool that would allow researchers to examine and evaluate specific word correspondences generated by a translation system. We developed Cairo to fill this need. Cairo is a free, open-source, portable, user-friendly, GUI-driven program written in Java that provides a visual representation of word correspondences between bilingual pairs of sentences, as well as relevant translation model parameters. This program can be easily adapted for visualization of correspondences in bi-texts based on probability distributions.