國立高雄大學圖資館 |

登入

回首頁

Speech and language technologies for low-resource languagesfirst International Conference, SPELLL 2022, Kalavakkam, India, November 23-25, 2022 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Speech and language technologies for low-resource languagesedited by Anand Kumar M ... [et al.].
其他題名:	first International Conference, SPELLL 2022, Kalavakkam, India, November 23-25, 2022 : proceedings /
其他題名:	SPELLL 2022
其他作者:	M, Anand Kumar.
團體作者:
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	1 online resource (xiii, 356 p.) :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Data miningCongresses.
電子資源:	https://doi.org/10.1007/978-3-031-33231-9
ISBN:	9783031332319$q(electronic bk.)

Speech and language technologies for low-resource languagesfirst International Conference, SPELLL 2022, Kalavakkam, India, November 23-25, 2022 : proceedings /
Speech and language technologies for low-resource languagesfirst International Conference, SPELLL 2022, Kalavakkam, India, November 23-25, 2022 : proceedings /[electronic resource] :SPELLL 2022edited by Anand Kumar M ... [et al.]. - Cham :Springer International Publishing :2023. - 1 online resource (xiii, 356 p.) :ill. (some col.), digital ;24 cm. - Communications in computer and information science,18021865-0937 ;. - Communications in computer and information science ;229..

Language Resources -- Language Technologies -- Speech Technologies -- Multimodal data analysis -- Fake News Detection in Low-Resource Languages (Regional-Fake) -- Low Resource Cross-Domain, Cross-Lingualand Cross-Modal Offensie Content Analysis (LC4)

This book constitutes refereed proceedings from the First International Conference on Speech and Language Technologies for Low-resource Languages, SPELLL 2022, held in Kalavakkam, India, in November 2022. The 25 presented papers were thoroughly reviewed and selected from 70 submissions. The papers are organised in the following topical sections: language resources; language technologies; speech technologies; multimodal data analysis; fake news detection in low-resource languages (regional-fake); low resource cross-domain, cross-lingualand cross-modal offensie content analysis (LC4)

ISBN: 9783031332319$q(electronic bk.)

Standard No.: 10.1007/978-3-031-33231-9doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Speech and language technologies for low-resource languagesfirst International Conference, SPELLL 2022, Kalavakkam, India, November 23-25, 2022 : proceedings /
LDR:02081nmm a2200349 a 4500 001 637626
003 DE-He213
005 20230528142333.0
006 m d
007 cr nn 008maaau
008 230921s2023 sz s 0 eng d
020 $a 9783031332319$q(electronic bk.)
020 $a 9783031332302$q(paper)
024 7 $a 10.1007/978-3-031-33231-9 $2 doi
035 $a 978-3-031-33231-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b I61 2022
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Speech and language technologies for low-resource languages $h [electronic resource] : $b first International Conference, SPELLL 2022, Kalavakkam, India, November 23-25, 2022 : proceedings / $c edited by Anand Kumar M ... [et al.].
246 3 $a SPELLL 2022
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a 1 online resource (xiii, 356 p.) : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 1802
505 0 $a Language Resources -- Language Technologies -- Speech Technologies -- Multimodal data analysis -- Fake News Detection in Low-Resource Languages (Regional-Fake) -- Low Resource Cross-Domain, Cross-Lingualand Cross-Modal Offensie Content Analysis (LC4)
520 $a This book constitutes refereed proceedings from the First International Conference on Speech and Language Technologies for Low-resource Languages, SPELLL 2022, held in Kalavakkam, India, in November 2022. The 25 presented papers were thoroughly reviewed and selected from 70 submissions. The papers are organised in the following topical sections: language resources; language technologies; speech technologies; multimodal data analysis; fake news detection in low-resource languages (regional-fake); low resource cross-domain, cross-lingualand cross-modal offensie content analysis (LC4)
650 0 $a Data mining $v Congresses. $3 380776
650 0 $a Natural language processing (Computer science) $3 200539
650 0 $a Speech processing systems $v Handbooks, manuals, etc. $3 436562
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computer Communication Networks. $3 218087
650 2 4 $a Natural Language Processing (NLP) $3 826373
650 2 4 $a Database Management. $3 273994
700 1 $a M, Anand Kumar. $3 944124
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 229. $3 547963
856 4 0 $u https://doi.org/10.1007/978-3-031-33231-9
950 $a Computer Science (SpringerNature-11645)