{"id":"https://openalex.org/W2120465215","doi":"https://doi.org/10.1109/tit.1983.1056645","title":"A note on the Ziv - Lempel model for compressing individual sequences (Corresp.)","display_name":"A note on the Ziv - Lempel model for compressing individual sequences (Corresp.)","publication_year":1983,"publication_date":"1983-03-01","ids":{"openalex":"https://openalex.org/W2120465215","doi":"https://doi.org/10.1109/tit.1983.1056645","mag":"2120465215"},"language":"en","primary_location":{"id":"doi:10.1109/tit.1983.1056645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1983.1056645","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113690009","display_name":"Glen G. Langdon","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"G. Langdon","raw_affiliation_strings":["IBM, Corporation, San Jose, CA, USA","IBM Corporation, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM, Corporation, San Jose, CA, USA","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM Corporation, San Jose, CA, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113690009"],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":7.3758,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.97238964,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"29","issue":"2","first_page":"284","last_page":"287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11567","display_name":"semigroups and automata theory","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6548867225646973},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.5159912109375},{"id":"https://openalex.org/keywords/substring","display_name":"Substring","score":0.48800769448280334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47512489557266235},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4433601200580597},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44027185440063477},{"id":"https://openalex.org/keywords/huffman-coding","display_name":"Huffman coding","score":0.43365800380706787},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.406290203332901},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3544090986251831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2956370711326599},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.11441150307655334}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6548867225646973},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.5159912109375},{"id":"https://openalex.org/C182407805","wikidata":"https://www.wikidata.org/wiki/Q2626534","display_name":"Substring","level":3,"score":0.48800769448280334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47512489557266235},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4433601200580597},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44027185440063477},{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.43365800380706787},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.406290203332901},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3544090986251831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2956370711326599},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.11441150307655334},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.1983.1056645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1983.1056645","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1995875735","https://openalex.org/W2046419776","https://openalex.org/W2119047110","https://openalex.org/W2122962290","https://openalex.org/W2165564574"],"related_works":["https://openalex.org/W40832265","https://openalex.org/W2051304374","https://openalex.org/W4286787697","https://openalex.org/W3043769852","https://openalex.org/W1505605100","https://openalex.org/W4308670360","https://openalex.org/W2950721324","https://openalex.org/W4200187525","https://openalex.org/W4230921427","https://openalex.org/W1970688438"],"abstract_inverted_index":{"The":[0,14,73,83,96,162],"Ziv-Lempel":[1,57,74,138,148],"compression":[2],"algorithm":[3],"is":[4,52,90,117,174],"a":[5,66,102],"string":[6,98],"matching":[7],"and":[8,25,27,44,131,156],"parsing":[9,18,139],"approach":[10],"to":[11,158],"data":[12,71],"compression.":[13,60],"symbolwise":[15,88,115,144],"equivalent":[16,145],"for":[17,47,69,86,101],"models":[19],"has":[20],"been":[21],"defined":[22],"by":[23,92],"Rissanen":[24,155],"Langdon":[26,157],"gives":[28],"the":[29,34,42,56,70,114,118,121,137,143,147,152,165,169,175],"same":[30,35],"ideal":[31],"codelength":[32],"at":[33],"cost":[36],"in":[37,126],"coding":[38,45,84],"parameters.":[39],"By":[40],"describing":[41],"context":[43,89],"parameter":[46,85],"each":[48,87],"symbol":[49,78,103],"an":[50],"insight":[51],"provided":[53],"into":[54],"how":[55],"method":[58,75],"achieves":[59],"This":[61],"treatment":[62],"does":[63],"not":[64],"employ":[65],"probabilistic":[67],"source":[68],"string.":[72],"effectively":[76],"counts":[77,125],"instances":[79],"within":[80],"parsed":[81],"phrases.":[82],"determined":[91],"cumulative":[93],"count":[94],"ratios.":[95],"code":[97],"length":[99],"increase":[100],"<tex":[104,109,128,132],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[105,110,129,133],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">y</tex>":[106],"following":[107],"substring":[108],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">s</tex>":[111,130],",":[112],"under":[113],"equivalent,":[116],"log":[119],"of":[120,123,136,146,154,168,177],"ratio":[122],"node":[124],"subtrees":[127],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">s\\cdot":[134],"y</tex>":[135],"tree.":[140],"To":[141],"demonstrate":[142],"algorithm,":[149],"we":[150],"extend":[151],"work":[153],"incomplete":[159],"parse":[160],"trees.":[161],"result":[163],"requires":[164],"proper":[166],"handling":[167],"comma":[170],"when":[171],"one":[172],"phrase":[173],"prefix":[176],"another":[178],"phrase.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-26T08:31:28.666265","created_date":"2025-10-10T00:00:00"}
