| 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.identifier.uri | http://hdl.handle.net/20.500.11752/OPEN-980 |
| 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: 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). |
| 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.uri | https://creativecommons.org/licenses/by/4.0 |
| dc.rights.label | PUB |
| 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 |
| metashare.ResourceInfo#ContentInfo.mediaType | text |
| has.files | yes |
| branding | OPEN |
| demo.uri | https://github.com/rankastankovic/It-Sr-NER/tree/main/corpus |
| contact.person | Olja Perišić olja.perisic@unito.it Università degli studi di Torino |
| sponsor | CLARIN ERIC CLARIN Bridging Gaps project CLARIN Bridging Gaps Other |
| size.info | 10000 sentences |
| files.size | 7282687 |
| files.count | 1 |
Files in this item
This item is
Creative Commons - Attribution 4.0 International (CC BY 4.0)
Publicly Available
and licensed under:Creative Commons - Attribution 4.0 International (CC BY 4.0)
- Name
- It-Sr-NER-corp.zip
- Size
- 6.95 MB
- Format
- application/zip
- Description
- It-Sr-NER corpus
- MD5
- f4086b834ae5a57a51111d35b750b248
- corpus
- monolingual
- Sr-txt-NER
- txt_1-sr.txt.ner450 kB
- txt_2-sr.txt.ner452 kB
- txt_0-sr.txt.ner182 kB
- txt_3-sr.txt.ner457 kB
- It-txt-NER
- txt_1-it.txt.ner500 kB
- txt_2-it.txt.ner497 kB
- txt_0-it.txt.ner203 kB
- txt_3-it.txt.ner503 kB
- Sr-txt
- txt_3-sr.txt439 kB
- txt_2-sr.txt434 kB
- txt_1-sr.txt433 kB
- txt_0-sr.txt170 kB
- It-txt
- txt_3-it.txt480 kB
- txt_2-it.txt474 kB
- txt_1-it.txt477 kB
- txt_0-it.txt188 kB
- Sr-txt-NER
- readme.md1 kB
- bilingual
- It-Sr-tmx-NER
- txt_3-it-sr-TMX.xml.ner1 MB
- txt_1-it-sr-TMX.xml.ner1 MB
- txt_2-it-sr-TMX.xml.ner1 MB
- txt_0-it-sr-TMX.xml.ner613 kB
- It-Sr-tmx
- txt_2-it-sr-TMX.xml1 MB
- readme.md106 B
- txt_1-it-sr-TMX.xml1 MB
- txt_3-it-sr-TMX.xml1 MB
- txt_0-it-sr-TMX.xml595 kB
- It-Sr-html
- txt_3-it-sr.html1 MB
- txt_1-it-sr.html1 MB
- readme.md18 B
- txt_2-it-sr.html1 MB
- txt_0-it-sr.html452 kB
- It-Sr-tmx-NER
- monolingual