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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
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