@inproceedings{junczys-dowmunt2012a,
author = {Junczys-Dowmunt, Marcin},
title = {A phrase table without phrases: Rank encoding for better phrase table Compression},
booktitle = {Proceedings of the 16th Annual Conference of the European Association for Machine Translation},
year = {2012},
month = {April},
abstract = {This paper describes the first steps towards a minimum-size phrase table implementation to be used for phrase-based statistical machine translation. The focus lies on the size reduction of target language data in a phrase table. Rank Encoding (R-Enc), a novel method for the compression of word-aligned target language in phrase tables is presented. Combined with Huffman coding a relative size reduction of 56 percent for target phrase words and alignment data is achieved when compared to bare Huffman coding without R-Enc. In the context of the complete phrase table the size reduction is 22 percent.},
url = {http://approjects.co.za/?big=en-us/research/publication/phrase-table-without-phrases-rank-encoding-better-phrase-table-compression/},
pages = {245-252},
edition = {Proceedings of the 16th Annual Conference of the European Association for Machine Translation},
}