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New adaptive compressors for natural language text

https://doi.org/10.1002/spe.882
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/spe.4380100608openalex-snapshot
Practical fast searching in strings
inferredcites →https://doi.org/10.1002/spe.4380190207openalex-snapshot
Word‐based text compression
inferredcites →https://doi.org/10.1002/spe.663openalex-snapshot
LZgrep: a Boyer-Moore string matching tool for Ziv-Lempel compressed text
inferredcites →https://doi.org/10.1007/11575832_1openalex-snapshot
Enhanced Byte Codes with Restricted Prefix Properties
inferredcites →https://doi.org/10.1007/978-1-4615-0935-6openalex-snapshot
Compression and Coding Algorithms
inferredcites →https://doi.org/10.1007/978-3-540-30213-1_34openalex-snapshot
Simple, Fast, and Efficient Natural Language Adaptive Compression
inferredcites →https://doi.org/10.1007/s10791-006-9001-9openalex-snapshot
Lightweight natural language text compression
inferredcites →https://doi.org/10.1016/0196-6774(85)90036-7openalex-snapshot
Dynamic huffman coding
inferredcites →https://doi.org/10.1017/cbo9781316135228openalex-snapshot
Flexible Pattern Matching in Strings
inferredcites →https://doi.org/10.1093/comjnl/42.3.193openalex-snapshot
Compressing Integers for Fast File Access
inferredcites →https://doi.org/10.1108/ir.1999.04926fae.001openalex-snapshot
Lecture Notes in Computer Science 1205
inferredcites →https://doi.org/10.1109/tit.1966.1053907openalex-snapshot
Run-length encodings (Corresp.)
inferredcites →https://doi.org/10.1109/tit.1977.1055714openalex-snapshot
A universal algorithm for sequential data compression
inferredcites →https://doi.org/10.1109/tit.1978.1055934openalex-snapshot
Compression of individual sequences via variable-rate coding
inferredcites →https://doi.org/10.1145/1076034.1076076openalex-snapshot
Efficiently decodable and searchable natural language adaptive compression
inferredcites →https://doi.org/10.1145/135239.135244openalex-snapshot
Fast text searching
inferredcites →https://doi.org/10.1145/348751.348754openalex-snapshot
Fast and flexible word searching on compressed text
inferredcites →https://doi.org/10.1145/359842.359859openalex-snapshot
A fast string searching algorithm
inferredcites →https://doi.org/10.1145/5684.5688openalex-snapshot
A locally adaptive data compression scheme

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-642-10217-2_41openalex-snapshot
New Word-Based Adaptive Dense Compressors
inferred← citeshttps://doi.org/10.1007/s10115-017-1039-zopenalex-snapshot
Dynamic sampling of text streams and its application in text analysis
inferred← citeshttps://doi.org/10.1007/s13369-018-3378-9openalex-snapshot
Multi-Stream Word-Based Compression Algorithm for Compressed Text Search
inferred← citeshttps://doi.org/10.1016/j.ejc.2012.07.014openalex-snapshot
ODC: Frame for definition of Dense codes
inferred← citeshttps://doi.org/10.1093/comjnl/bxaa074openalex-snapshot
LUISA: Decoupling the Frequency Model From the Context Model in Prediction-Based Compression
inferred← citeshttps://doi.org/10.1109/dcc.2019.00016openalex-snapshot
Dv2v: A Dynamic Variable-to-Variable Compressor
inferred← citeshttps://doi.org/10.1631/fitee.1500332openalex-snapshot
TextGen: a realistic text data content generation method for modern storage system benchmarks
inferred← citeshttps://doi.org/10.3906/elk-1407-178openalex-snapshot
A new compression algorithm for fast text search
inferred← citeshttps://doi.org/10.3906/elk-1601-92openalex-snapshot
A new word-based compression model allowing compressed pattern matching
inferred← citeshttps://doi.org/10.7717/peerj-cs.2423openalex-snapshot
Learning-based short text compression using BERT models
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