It-Sr-NER: CLARIN compatible NER and geoparsing web services for parallel texts: case study Italian and Serbian

Perišić, Olja

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Perišić, Olja; Stanković, Ranka; Vitas, Duško; Krstev, Cvetana and Moderc, Saša, 2022, It-Sr-NER: CLARIN compatible NER and geoparsing web services for parallel texts: case study Italian and Serbian, CLARIN DSpace, http://hdl.handle.net/20.500.11752/OPEN-980

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dc.contributor.author	Perišić, Olja
dc.contributor.author	Stanković, Ranka
dc.contributor.author	Vitas, Duško
dc.contributor.author	Krstev, Cvetana
dc.contributor.author	Moderc, Saša
dc.date.accessioned	2022-09-22T12:55:44Z
dc.date.available	2022-09-22T12:55:44Z
dc.date.issued	2022-09-12
dc.description	It-Sr-NER-corp is the Italian/Serbian bilingual corpus with 10,000 aligned sentences compiled in the scope of the It-Sr-project from samples of several Italian novels translated to Serbian and vice versa, with the aim of the development of the CLARIN compatible NER web service for parallel text with the case study on Italian and Serbian. The set of 10,000 natural language segments is split into 4 files: 11000+33000. The corpus comprises of: 1) text versions, Italian and Serbian, with one segment per line 2) TMX (Translation Memory eXchange) bilingual aligned segments 3) monolingual text and TMX files with automatically annotated named entities for six NER classes: demonyms (DEMO), works of art (WORK), person names (PERS), places (LOC), events (EVENT) and organizations (ORG). It-Sr-NER annotation uses a powerful Convolutional Neural Network architecture within the spaCy tool, for Italien WikiNER (Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, James R Curran) and for Serbian SrpCNNER (Cvetana Krstev, Ranka Stanković, Milica Ikonić Nešić, Branislava Šandrih Todorović).
dc.identifier.uri	http://hdl.handle.net/20.500.11752/OPEN-980
dc.language.iso	srp
dc.language.iso	ita
dc.publisher	Università degli studi di Torino
dc.rights	Creative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.label	PUB
dc.rights.uri	https://creativecommons.org/licenses/by/4.0
dc.source.uri	https://github.com/rankastankovic/It-Sr-NER/
dc.subject	NER
dc.subject	TXM
dc.subject	Named Entity Recognition
dc.subject	aliged corpus
dc.subject	Serbian
dc.subject	Italian
dc.title	It-Sr-NER: CLARIN compatible NER and geoparsing web services for parallel texts: case study Italian and Serbian
dc.type	corpus
local.branding	OPEN
local.contact.person	Olja Perišić olja.perisic@unito.it Università degli studi di Torino
local.demo.uri	https://github.com/rankastankovic/It-Sr-NER/tree/main/corpus
local.files.count	1
local.files.size	0
local.has.files	yes
local.language.name	Serbian
local.language.name	Italian
local.size.info	10000 sentences
local.sponsor	Other CLARIN Bridging Gaps project CLARIN ERIC CLARIN Bridging Gaps
metashare.ResourceInfo#ContentInfo.mediaType	text