SUMMARY. Semistatic byte-oriented word-based compression codes have been shown to be an attractive alternative to compress natural language text databases, ...
Apr 1, 2008 · Semistatic byte-oriented word-based compression codes have been shown to be an attractive alternative to compress natural language text ...
It is reported that PETDC can reduce a text by 70%, and PhETDC by 77%, outperforming all current zeroorder word-based semi-static compressors[4]. A Dynamic End ...
In this paper, we focus on the problem of transmitting texts among peers that do not share the vocabulary. This is the typical scenario for adaptive compression ...
We propose to adapt pre-trained LMs into AutoCompressors. These language models are capable of compressing long contexts into summary vectors.
Classic Huffman code [11] is a well-known two-pass method. Its compression ratio is rather poor for natural language texts (around 60%). In recent years, ...
This paper implements word-based adaptive Huffman compression, showing that it obtains very competitive compression ratios, and shows how End-Tagged Dense ...
We investigate how AutoCompressors scale to much longer sequences than the pre-trained con- text window size. We replicate the above language modeling ...
New Word-Based Adaptive Dense Compressors | Semantic Scholar
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Two new word-based statistical compression algorithms based on dense coding idea: Two Byte Dense code (TBDC) and Self-Tuning Dense Code (SCDC) are presented ...
Variants of Huffman codes where words are taken as the source symbols are currently the most attractive choices to compress natural language text databases. In ...
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