A Phrase Table without Phrases: Rank Encoding for Better Phrase Table Compression

نویسنده

  • Marcin Junczys-Dowmunt
چکیده

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 (REnc), 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.

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تاریخ انتشار 2012