Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
From Text to Insight: Uncovering Linguistic Patterns withSWEGRAM
Stockholms universitet, Humanistiska fakulteten, Institutionen för lingvistik. (computational linguistics)ORCID-id: 0000-0002-4838-6518
2025 (Engelska)Ingår i: HumInfra Handbook: Empowering digital and experimental humanities. / [ed] Bouma; G.; Dannélls; D.; Kokkinakis; D.; and Volodina; E., University of Tartu Library , 2025, s. 307-353Kapitel i bok, del av antologi (Refereegranskat)
Abstract [en]

Empirical linguistic analysis provides valuable insights into textual data for researchers in the humanities and social sciences, enabling them to identify patterns and trends within large datasets. SWEGRAM is a freely available tool designed to annotate and analyze Swedish and English texts without requiring programming skills or a user account. Users can upload one or more texts for linguistic analysis, extracting morphological and syntactic features. The linguistically annotated texts can then be used for quantitative lin- guistic analysis, allowing researchers to systematically explore textual characteristics. Additionally, the tool visualizes syntactic relations between words in sentences and provides detailed insights into the distribution of syntactic functions and relations within the text. Users can also create their own linguistically annotated text collections and generate statistical summaries of the linguistic properties of their texts. The tool is available as both a web-based service, which requires no user login or account, and a downloadable version for local use when data privacy and security are a priority. This dual availability ensures accessibility and flexibility for diverse research needs.

Ort, förlag, år, upplaga, sidor
University of Tartu Library , 2025. s. 307-353
Nationell ämneskategori
Språkbehandling och datorlingvistik
Forskningsämne
datorlingvistik
Identifikatorer
URN: urn:nbn:se:su:diva-249679DOI: 10.58009/aere-perennius0179OAI: oai:DiVA.org:su-249679DiVA, id: diva2:2014418
Projekt
Swe-clarinTillgänglig från: 2025-11-17 Skapad: 2025-11-17 Senast uppdaterad: 2025-11-18Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltext

Person

Megyesi, Beáta

Sök vidare i DiVA

Av författaren/redaktören
Megyesi, Beáta
Av organisationen
Institutionen för lingvistik
Språkbehandling och datorlingvistik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 50 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf