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Publications:

Decoding with Large-Scale Neural Language Models Improves Translation. Ashish Vaswani, Yinggong Zhao, Victoria Fossum, and David Chiang. In Proceedings of EMNLP, 2013.

Syntactic vs. Hierarchical Models of Human Incremental Sentence Processing. Victoria Fossum and Roger Levy. In Proceedings of HLT-NAACL Workshop on Cognitive Modelling and Computational Linguistics, 2012.

Integrating Parsing and Word Alignment in Syntax-Based Machine Translation. Victoria Fossum. Ph.D. Thesis, University of Michigan, Ann Arbor, 2010.

Combining Constituent Parsers. Victoria Fossum and Kevin Knight. In Proceedings of HLT-NAACL, 2009.

Using Bilingual Chinese-English Word Alignments to Resolve Syntactic Ambiguity in English. Victoria Fossum and Kevin Knight. In Proceedings of AMTA Student Workshop, 2008.

Using Syntax to Improve Word Alignment Precision for Syntax-Based Machine Translation. Victoria Fossum, Kevin Knight, and Steven Abney. In Proceedings of ACL Statistical MT Workshop, 2008.

Latent Features in Automatic Tense Translation between Chinese and English. Yang Ye, Victoria Fossum, and Steven Abney. In Proceedings of ACL SIGHAN Workshop, 2006.

Automatically Inducing a Part-of-Speech Tagger by Projecting from Multiple Source Languages across Aligned Corpora. Victoria Fossum and Steven Abney. In Proceedings of IJCNLP, 2005.

Estimating and Comparing Entropy across Written Natural Languages Using PPM Compression [Abstract] [Full Version] Frederic H. Behr, Jr., Victoria Fossum, Michael Mitzenmacher, and David Xiao. In Proceedings of the IEEE Data Compression Conference, 2003.

Other:

Entropy, Compression, and Information Content. Victoria Fossum (unpublished).