Jason Riesa
Ph.D. Candidate, Computer Science
University of Southern California
Viterbi School of Engineering
Information Sciences Institute
University of Southern California
Viterbi School of Engineering
Information Sciences Institute
USC Information Sciences Institute
4676 Admiralty Way, Suite 1001
Marina del Rey, CA 90292
Tel: 310-448-8250
4676 Admiralty Way, Suite 1001
Marina del Rey, CA 90292
Tel: 310-448-8250
Current Research Interests
Natural Language Processing
Machine Translation
Information Retrieval
Computational Morphology
Machine Learning
My PhD Advisor is Daniel Marcu.
Natural Language Processing
Machine Translation
Information Retrieval
Computational Morphology
Machine Learning
My PhD Advisor is Daniel Marcu.
Affiliations
Publications
Feature-Rich Language-Independent Syntax-Based Alignment for Statistical Machine Translation. . In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2011. [slides] [keynote] [code]
Hierarchical Search for Word Alignment. . In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), 2010. [slides]
Minimally Supervised Morphological Segmentation with Applications to Machine Translation. . In Proceedings of the 7th Conference of the Association for Machine Translation in the Americas (AMTA), 2006.
Building an English-Iraqi Arabic Machine Translation System for Spoken Utterances with Limited Resources. . In Proceedings of Interspeech - ICSLP, 2006.
Hierarchical Search for Word Alignment. . In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), 2010. [slides]
Minimally Supervised Morphological Segmentation with Applications to Machine Translation. . In Proceedings of the 7th Conference of the Association for Machine Translation in the Americas (AMTA), 2006.
Building an English-Iraqi Arabic Machine Translation System for Spoken Utterances with Limited Resources. . In Proceedings of Interspeech - ICSLP, 2006.
Software & Demos
- Nile: A hierarchical syntax-based word alignment toolkit for statistical machine translation
- Picaro: A simple command-line word-alignment visualization tool
- Pyglog: A logging facility for Python.
- Alignment Visualization (web tool): A web-based version of Picaro.
- SBMT Rule Extraction (web tool): Visualize alignments and extract translation rules.
Activities
- Research Intern, Google Inc, Summer 2011.
- CSCI 562 - Empirical Methods in Natural Language Processing, Teaching Assistant, Fall 2010.
- NAACL HLT 2010, Los Angeles, Local Organizing Committee,
with David Chiang, Ed Hovy, and Jonathan May. - USC/ISI NL Seminar, Organizer, Fall 2009, Spring 2010, Summer 2010, Fall 2011, Spring 2012.
- USC/ISI NLP Reading Group, Organizer, Fall 2008, Spring 2009.
- 2nd Annual ISD Graduate Student Symposium, Co-Organizer,
with Wes Kerr and Jonathan May.