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| dc.contributor.author | Znotiņš, Artūrs |
| dc.contributor.author | Paikens, Pēteris |
| dc.contributor.author | Goško, Didzis |
| dc.contributor.author | Bārzdiņš, Guntis |
| dc.contributor.author | Grūzītis, Normunds |
| dc.date.accessioned | 2020-07-16T15:57:39Z |
| dc.date.available | 2020-07-16T15:57:39Z |
| dc.date.issued | 2018 |
| dc.identifier.uri | http://hdl.handle.net/20.500.12574/4 |
| dc.description | NLP-PIPE is a modular toolchain that allows researchers to combine multiple natural language processing tools in a unified framework. It supports a wide range of annotation services for Latvian, including tokenization, morphological tagging, lemmatisation, universal dependency parsing, and named entity recognition. In the web based interface, a user simply selects the required processing tools and inputs the text they want to annotate. The results can then be viewed either directly on the website or exported in several formats (JSON, CONLL). |
| dc.language.iso | lav |
| dc.publisher | AiLab IMCS UL |
| dc.relation.isreferencedby | http://ebooks.iospress.nl/volumearticle/50320 |
| dc.relation.isreferencedby | https://ebooks.iospress.nl/volumearticle/55531 |
| dc.source.uri | https://github.com/LUMII-AILab/nlp-pipe |
| dc.subject | tokenizer |
| dc.subject | tagger |
| dc.subject | parser |
| dc.subject | NER |
| dc.title | NLP-PIPE: Latvian NLP Tool Pipeline |
| dc.type | toolService |
| metashare.ResourceInfo#ContentInfo.detailedType | suiteOfTools |
| metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent | false |
| hidden | false |
| hasMetadata | false |
| has.files | no |
| branding | CLARIN Centre of Latvian language resources and tools |
| demo.uri | https://nlp.ailab.lv |
| contact.person | Artūrs Znotiņš arturs.znotins@lumii.lv IMCS UL |
| sponsor | European Regional Development Fund 1.1.1.1/16/A/219 Full Stack of Language Resources for Natural Language Understanding and Generation in Latvian nationalFunds |
| sponsor | Ministry of Education and Science VPP-IZM-DH-2020/1-0001 Digital Resources for Humanities: Integration and Development nationalFunds |
| files.size | 0 |
| files.count | 0 |
