Making compression algorithms for Unicode text
The majority of online content is written in languages other than English, and is most commonly encoded in UTF-8, the world's dominant Unicode character encoding. Traditional compression algorithms typically operate on individual bytes. While this approach works well for the single-byte ASCII e...
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creator | Gleave, Adam Steinruecken, Christian |
description | The majority of online content is written in languages other than English,
and is most commonly encoded in UTF-8, the world's dominant Unicode character
encoding. Traditional compression algorithms typically operate on individual
bytes. While this approach works well for the single-byte ASCII encoding, it
works poorly for UTF-8, where characters often span multiple bytes. Previous
research has focused on developing Unicode compressors from scratch, which
often failed to outperform established algorithms such as bzip2. We develop a
technique to modify byte-based compressors to operate directly on Unicode
characters, and implement variants of LZW and PPM that apply this technique. We
find that our method substantially improves compression effectiveness on a
UTF-8 corpus, with our PPM variant outperforming the state-of-the-art PPMII
compressor. On ASCII and binary files, our variants perform similarly to the
original unmodified compressors. |
doi_str_mv | 10.48550/arxiv.1701.04047 |
format | Article |
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and is most commonly encoded in UTF-8, the world's dominant Unicode character
encoding. Traditional compression algorithms typically operate on individual
bytes. While this approach works well for the single-byte ASCII encoding, it
works poorly for UTF-8, where characters often span multiple bytes. Previous
research has focused on developing Unicode compressors from scratch, which
often failed to outperform established algorithms such as bzip2. We develop a
technique to modify byte-based compressors to operate directly on Unicode
characters, and implement variants of LZW and PPM that apply this technique. We
find that our method substantially improves compression effectiveness on a
UTF-8 corpus, with our PPM variant outperforming the state-of-the-art PPMII
compressor. On ASCII and binary files, our variants perform similarly to the
original unmodified compressors.</description><identifier>DOI: 10.48550/arxiv.1701.04047</identifier><language>eng</language><subject>Computer Science - Information Theory ; Mathematics - Information Theory</subject><creationdate>2017-01</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1701.04047$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1701.04047$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Gleave, Adam</creatorcontrib><creatorcontrib>Steinruecken, Christian</creatorcontrib><title>Making compression algorithms for Unicode text</title><description>The majority of online content is written in languages other than English,
and is most commonly encoded in UTF-8, the world's dominant Unicode character
encoding. Traditional compression algorithms typically operate on individual
bytes. While this approach works well for the single-byte ASCII encoding, it
works poorly for UTF-8, where characters often span multiple bytes. Previous
research has focused on developing Unicode compressors from scratch, which
often failed to outperform established algorithms such as bzip2. We develop a
technique to modify byte-based compressors to operate directly on Unicode
characters, and implement variants of LZW and PPM that apply this technique. We
find that our method substantially improves compression effectiveness on a
UTF-8 corpus, with our PPM variant outperforming the state-of-the-art PPMII
compressor. On ASCII and binary files, our variants perform similarly to the
original unmodified compressors.</description><subject>Computer Science - Information Theory</subject><subject>Mathematics - Information Theory</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotzr1uwjAUQGEvHRDtAzDhF0h6je1cZ0SoLZWoutA5uv4DCxIjJ6ro21fQTmc7-hhbCKiV0RqeqVzTdy0QRA0KFM5Y_UGnNBy4y_2lhHFMeeB0PuSSpmM_8pgL_xqSyz7wKVynR_YQ6TyGp__O2f71Zb_ZVrvPt_fNeldRg1gJgT4o1zRWrgC1VM4ob7xyKyIbnYutkJ6sjOiiFm1rrQEwCD4gCam9nLPl3_YO7i4l9VR-uhu8u8PlL-tMPec</recordid><startdate>20170115</startdate><enddate>20170115</enddate><creator>Gleave, Adam</creator><creator>Steinruecken, Christian</creator><scope>AKY</scope><scope>AKZ</scope><scope>GOX</scope></search><sort><creationdate>20170115</creationdate><title>Making compression algorithms for Unicode text</title><author>Gleave, Adam ; Steinruecken, Christian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a677-117de4c66b3207534c84d8d4c2aabfccf913dab3f7cf5199bb800870de7a135d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Computer Science - Information Theory</topic><topic>Mathematics - Information Theory</topic><toplevel>online_resources</toplevel><creatorcontrib>Gleave, Adam</creatorcontrib><creatorcontrib>Steinruecken, Christian</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv Mathematics</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gleave, Adam</au><au>Steinruecken, Christian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Making compression algorithms for Unicode text</atitle><date>2017-01-15</date><risdate>2017</risdate><abstract>The majority of online content is written in languages other than English,
and is most commonly encoded in UTF-8, the world's dominant Unicode character
encoding. Traditional compression algorithms typically operate on individual
bytes. While this approach works well for the single-byte ASCII encoding, it
works poorly for UTF-8, where characters often span multiple bytes. Previous
research has focused on developing Unicode compressors from scratch, which
often failed to outperform established algorithms such as bzip2. We develop a
technique to modify byte-based compressors to operate directly on Unicode
characters, and implement variants of LZW and PPM that apply this technique. We
find that our method substantially improves compression effectiveness on a
UTF-8 corpus, with our PPM variant outperforming the state-of-the-art PPMII
compressor. On ASCII and binary files, our variants perform similarly to the
original unmodified compressors.</abstract><doi>10.48550/arxiv.1701.04047</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Information Theory Mathematics - Information Theory |
title | Making compression algorithms for Unicode text |
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