oai:dspace-clarin-it.ilc.cnr.it:20.500.11752/OPEN-980
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OLAC Record oai:dspace-clarin-it.ilc.cnr.it:20.500.11752/OPEN-980 |
| Metadata | ||
| Title: | It-Sr-NER: CLARIN compatible NER and geoparsing web services for parallel texts: case study Italian and Serbian | |
| Bibliographic Citation: | http://hdl.handle.net/20.500.11752/OPEN-980 | |
| Creator: | Perišić, Olja | |
| Stanković, Ranka | ||
| Vitas, Duško | ||
| Krstev, Cvetana | ||
| Moderc, Saša | ||
| Date (W3CDTF): | 2022-09-22T12:55:44Z | |
| Date Available: | 2022-09-22T12:55:44Z | |
| 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: 1*1000+3*3000. 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). | |
| Identifier (URI): | http://hdl.handle.net/20.500.11752/OPEN-980 | |
| Language: | Serbian | |
| Italian | ||
| Language (ISO639): | srp | |
| ita | ||
| Publisher: | Università degli studi di Torino | |
| Rights: | Creative Commons - Attribution 4.0 International (CC BY 4.0) | |
| https://creativecommons.org/licenses/by/4.0 | ||
| Subject: | NER | |
| TXM | ||
| Named Entity Recognition | ||
| aliged corpus | ||
| Serbian | ||
| Italian | ||
| Type: | corpus | |
| Type (DCMI): | Text | |
| Type (OLAC): | primary_text | |
OLAC Info |
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| Archive: | ILC-CNR for CLARIN-IT repository hosted at Institute for Computational Linguistics "A. Zampolli", National Research Council, in Pisa | |
| Description: | http://www.language-archives.org/archive/dspace-clarin-it.ilc.cnr.it | |
| GetRecord: | OAI-PMH request for OLAC format | |
| GetRecord: | Pre-generated XML file | |
OAI Info |
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| OaiIdentifier: | oai:dspace-clarin-it.ilc.cnr.it:20.500.11752/OPEN-980 | |
| DateStamp: | 2022-09-22 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Perišić, Olja; Stanković, Ranka; Vitas, Duško; Krstev, Cvetana; Moderc, Saša. 2022. Università degli studi di Torino. | |
| Terms: | area_Europe country_IT country_RS dcmi_Text iso639_ita iso639_srp olac_primary_text | |