{"id":"https://openalex.org/W2904308181","doi":"https://doi.org/10.23919/spa.2018.8563389","title":"Deep Learning for Natural Language Processing and Language Modelling","display_name":"Deep Learning for Natural Language Processing and Language Modelling","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2904308181","doi":"https://doi.org/10.23919/spa.2018.8563389","mag":"2904308181"},"language":"en","primary_location":{"id":"doi:10.23919/spa.2018.8563389","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa.2018.8563389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-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/A5073804552","display_name":"Piotr K\u0142osowski","orcid":"https://orcid.org/0000-0002-1275-4147"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Piotr Klosowski","raw_affiliation_strings":["Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5073804552"],"corresponding_institution_ids":["https://openalex.org/I119004910"],"apc_list":null,"apc_paid":null,"fwci":3.9094,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.9490329,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"223","last_page":"228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9955999851226807,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9955999851226807,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9930999875068665,"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/T12658","display_name":"Language and Culture","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/3310","display_name":"Linguistics and Language"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8602155447006226},{"id":"https://openalex.org/keywords/cache-language-model","display_name":"Cache language model","score":0.741696834564209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6854395270347595},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6510221362113953},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6211507320404053},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5652546882629395},{"id":"https://openalex.org/keywords/language-identification","display_name":"Language identification","score":0.5441009998321533},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5295525193214417},{"id":"https://openalex.org/keywords/universal-networking-language","display_name":"Universal Networking Language","score":0.49430418014526367},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4789886474609375},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4364902079105377},{"id":"https://openalex.org/keywords/language-acquisition","display_name":"Language acquisition","score":0.42423611879348755},{"id":"https://openalex.org/keywords/language-technology","display_name":"Language technology","score":0.42323267459869385},{"id":"https://openalex.org/keywords/comprehension-approach","display_name":"Comprehension approach","score":0.32714182138442993},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1749686300754547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8602155447006226},{"id":"https://openalex.org/C39608478","wikidata":"https://www.wikidata.org/wiki/Q5015979","display_name":"Cache language model","level":5,"score":0.741696834564209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6854395270347595},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6510221362113953},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6211507320404053},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5652546882629395},{"id":"https://openalex.org/C129792486","wikidata":"https://www.wikidata.org/wiki/Q1050419","display_name":"Language identification","level":3,"score":0.5441009998321533},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5295525193214417},{"id":"https://openalex.org/C83479923","wikidata":"https://www.wikidata.org/wiki/Q2063748","display_name":"Universal Networking Language","level":4,"score":0.49430418014526367},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4789886474609375},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4364902079105377},{"id":"https://openalex.org/C74672266","wikidata":"https://www.wikidata.org/wiki/Q815859","display_name":"Language acquisition","level":2,"score":0.42423611879348755},{"id":"https://openalex.org/C14919245","wikidata":"https://www.wikidata.org/wiki/Q1976109","display_name":"Language technology","level":4,"score":0.42323267459869385},{"id":"https://openalex.org/C129353971","wikidata":"https://www.wikidata.org/wiki/Q5156949","display_name":"Comprehension approach","level":3,"score":0.32714182138442993},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1749686300754547},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/spa.2018.8563389","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa.2018.8563389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W15779796","https://openalex.org/W398115157","https://openalex.org/W584835748","https://openalex.org/W1003348853","https://openalex.org/W1024780720","https://openalex.org/W1155405410","https://openalex.org/W1514535095","https://openalex.org/W1518948183","https://openalex.org/W1544827683","https://openalex.org/W1574901103","https://openalex.org/W1591825359","https://openalex.org/W1606884126","https://openalex.org/W1868795753","https://openalex.org/W1895577753","https://openalex.org/W1959176866","https://openalex.org/W1977323050","https://openalex.org/W2025221376","https://openalex.org/W2027276499","https://openalex.org/W2064675550","https://openalex.org/W2099111195","https://openalex.org/W2127141656","https://openalex.org/W2134182172","https://openalex.org/W2139501017","https://openalex.org/W2140190241","https://openalex.org/W2143612262","https://openalex.org/W2188183693","https://openalex.org/W2250489405","https://openalex.org/W2251287417","https://openalex.org/W2271840356","https://openalex.org/W2280798142","https://openalex.org/W2286739582","https://openalex.org/W2307381258","https://openalex.org/W2559968172","https://openalex.org/W2560793587","https://openalex.org/W2592584157","https://openalex.org/W2772748324","https://openalex.org/W2949615363","https://openalex.org/W2962965405","https://openalex.org/W2963042536","https://openalex.org/W6627465322","https://openalex.org/W6630875275","https://openalex.org/W6632455782","https://openalex.org/W6635189695","https://openalex.org/W6639657675","https://openalex.org/W6680704940","https://openalex.org/W6691642504","https://openalex.org/W6695220544"],"related_works":["https://openalex.org/W2913520953","https://openalex.org/W2183673572","https://openalex.org/W4310801723","https://openalex.org/W3213549959","https://openalex.org/W3075498906","https://openalex.org/W3129739276","https://openalex.org/W4387896144","https://openalex.org/W2808455255","https://openalex.org/W2515884433","https://openalex.org/W1497089860"],"abstract_inverted_index":{"The":[0],"article":[1],"presents":[2],"an":[3],"example":[4],"of":[5,8,18,27,47,66,69,76,90],"practical":[6],"application":[7,108],"deep":[9,61,77],"learning":[10,62,78],"methods":[11,56,68],"for":[12,36,109],"language":[13,20,48,54,71,93,106],"processing":[14,39],"and":[15,30,32,40,60,99],"modelling.":[16],"Development":[17],"statistical":[19,53],"models":[21],"helps":[22],"to":[23,57,105],"predict":[24],"a":[25],"sequence":[26],"recognized":[28],"words":[29],"phonemes,":[31],"can":[33,101],"be":[34,103],"used":[35],"improving":[37],"speech":[38,41],"recognition.":[42],"However,":[43],"currently":[44],"the":[45,67,74,88,91,95],"field":[46],"modelling":[49,55,72,89,107],"is":[50,80],"shifting":[51],"from":[52],"neural":[58],"networks":[59],"methods.":[63],"Therefore,":[64],"one":[65],"effective":[70],"with":[73],"use":[75],"techniques":[79],"presented":[81],"in":[82],"this":[83],"paper.":[84],"Presented":[85],"results":[86,98],"concerns":[87],"Polish":[92],"but":[94],"achieved":[96],"research":[97],"conclusions":[100],"also":[102],"applied":[104],"other":[110],"languages.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-02-25T21:11:00.739837","created_date":"2025-10-10T00:00:00"}