{"id":"https://openalex.org/W2296590378","doi":"https://doi.org/10.3115/v1/d14-1095","title":"Morphological Segmentation for Keyword Spotting","display_name":"Morphological Segmentation for Keyword Spotting","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2296590378","doi":"https://doi.org/10.3115/v1/d14-1095","mag":"2296590378"},"language":"en","primary_location":{"id":"doi:10.3115/v1/d14-1095","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1095","pdf_url":"https://aclanthology.org/D14-1095.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D14-1095.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025205227","display_name":"Karthik Narasimhan","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karthik Narasimhan","raw_affiliation_strings":["Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054865609","display_name":"Damianos Karakos","orcid":null},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Damianos Karakos","raw_affiliation_strings":["Raytheon BBN Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Raytheon BBN Technologies","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089653752","display_name":"Richard Schwartz","orcid":"https://orcid.org/0000-0002-4654-624X"},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Schwartz","raw_affiliation_strings":["Raytheon BBN Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Raytheon BBN Technologies","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073006801","display_name":"Stavros Tsakalidis","orcid":null},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stavros Tsakalidis","raw_affiliation_strings":["Raytheon BBN Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Raytheon BBN Technologies","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010124873","display_name":"Regina Barzilay","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Regina Barzilay","raw_affiliation_strings":["Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"880","last_page":"885"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9995999932289124,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9987000226974487,"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/keyword-spotting","display_name":"Keyword spotting","score":0.9306955337524414},{"id":"https://openalex.org/keywords/syllabic-verse","display_name":"Syllabic verse","score":0.8297860026359558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.759151816368103},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7272193431854248},{"id":"https://openalex.org/keywords/morpheme","display_name":"Morpheme","score":0.6696714162826538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6443413496017456},{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.6330811381340027},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4779662787914276},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4557894468307495},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44809630513191223},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40696096420288086},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07867884635925293}],"concepts":[{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.9306955337524414},{"id":"https://openalex.org/C194051139","wikidata":"https://www.wikidata.org/wiki/Q2629608","display_name":"Syllabic verse","level":2,"score":0.8297860026359558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.759151816368103},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7272193431854248},{"id":"https://openalex.org/C165297611","wikidata":"https://www.wikidata.org/wiki/Q43249","display_name":"Morpheme","level":2,"score":0.6696714162826538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6443413496017456},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.6330811381340027},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4779662787914276},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4557894468307495},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44809630513191223},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40696096420288086},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07867884635925293},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3115/v1/d14-1095","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1095","pdf_url":"https://aclanthology.org/D14-1095.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.650.1446","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.650.1446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://people.csail.mit.edu/regina/my_papers/kws14.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.671.2236","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.671.2236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://emnlp2014.org/papers/pdf/EMNLP2014095.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.697.6658","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.697.6658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/D/D14/D14-1095.pdf","raw_type":"text"},{"id":"pmh:oai:dspace.mit.edu:1721.1/99755","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/99755","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT web domain","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"doi:10.3115/v1/d14-1095","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/d14-1095","pdf_url":"https://aclanthology.org/D14-1095.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G3786426243","display_name":null,"funder_award_id":"W911NF-12-C-0013","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G5259331294","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2296590378.pdf","grobid_xml":"https://content.openalex.org/works/W2296590378.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W107550075","https://openalex.org/W165283731","https://openalex.org/W201532657","https://openalex.org/W627498308","https://openalex.org/W645927007","https://openalex.org/W2052274902","https://openalex.org/W2097532276","https://openalex.org/W2103589071","https://openalex.org/W2116930768","https://openalex.org/W2153903004","https://openalex.org/W2164766438","https://openalex.org/W2251670681","https://openalex.org/W2397450537","https://openalex.org/W2442329935","https://openalex.org/W2760298467"],"related_works":["https://openalex.org/W2918559346","https://openalex.org/W2114097550","https://openalex.org/W4286904253","https://openalex.org/W3119978414","https://openalex.org/W2516975559","https://openalex.org/W2545741539","https://openalex.org/W3206647229","https://openalex.org/W1969408022","https://openalex.org/W2000885660","https://openalex.org/W2117995638"],"abstract_inverted_index":{"We":[0],"explore":[1],"the":[2,63],"impact":[3],"of":[4,56,65],"morphological":[5,20,39,66],"segmentation":[6],"on":[7],"keyword":[8],"spotting":[9],"(KWS).":[10],"Despite":[11],"potential":[12],"benefits,":[13],"stateof-the-art":[14],"KWS":[15,29,57],"systems":[16],"do":[17],"not":[18],"use":[19],"information.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25,79],"augment":[26],"a":[27],"state-of-the-art":[28],"system":[30],"with":[31,43],"sub-word":[32],"units":[33,67],"derived":[34],"from":[35],"supervised":[36],"and":[37,41,45,76],"unsupervised":[38],"segmentations,":[40,78],"compare":[42],"phonetic":[44,75],"syllabic":[46,77],"segmentations.":[47],"Our":[48],"experiments":[49],"demonstrate":[50,80],"that":[51],"morphemes":[52],"improve":[53],"overall":[54],"performance":[55,64,82],"systems.":[58],"Syllabic":[59],"units,":[60],"however,":[61],"rival":[62],"when":[68],"used":[69],"in":[70],"KWS.":[71],"By":[72],"combining":[73],"morphological,":[74],"substantial":[81],"gains.":[83]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}