Texts from the Swedish Migration Agency

This study is part of the collection Parallel Texts from Public Agencies

Overview Description Data and documentation

Creator/Principal investigator(s)

Institute for Language and Folklore, Language Council of Sweden

Simon Dahlberg - Institute for Language and Folklore, Language Council of Sweden

Description

Parallel texts downloaded with "w3m -dump" from an ubuntu shell, from the website of the Swedish Migration Agency.

Subject area

Legislation and legal systems, International politics and organisations, Conflict, security and peace, SOCIAL WELFARE POLICY AND SYSTEMS, SOCIETY AND CULTURE (CESSDA Topic Classification)
Social Sciences, Languages and Literature (The Swedish standard of fields of research 2011)

Keywords

immigration policy, emigration and immigration

Principal organisation

Institute for Language and Folklore

Responsible department/unit

Creator/Principal investigator(s)

Institute for Language and Folklore, Language Council of Sweden

Simon Dahlberg - Institute for Language and Folklore, Language Council of Sweden

Contributor(s)

Institute for Language and Folklore, Language Council of Sweden

Identifiers

SND-ID: EXT 0329

URL: http://liljeholmen.sprakochfolkminnen.se/sprakresurser/version/20190124/myndighetsdata/texter

URL: http://liljeholmen.sprakochfolkminnen.se/sprakresurser/version/20190124/myndighetsdata/texter/Migrationsverket

Description

Parallel texts downloaded with "w3m -dump" from an ubuntu shell, from the website of the Swedish Migration Agency.

Geographic spread

Geographic location: Sweden

Sampling procedure

Multilingual parallel content.

Subject area

Legislation and legal systems, International politics and organisations, Conflict, security and peace, SOCIAL WELFARE POLICY AND SYSTEMS, SOCIETY AND CULTURE (CESSDA Topic Classification)
Social Sciences, Languages and Literature (The Swedish standard of fields of research 2011)

Keywords

immigration policy, emigration and immigration

Language resources

Resource type

Corpus

Foreseen use

NLP application

Text corpus

  • Linguality

    Multilingual

  • Language

    • Swedish (swe)

      Texts: 33

    • Amharic (amh)

      Texts: 23

    • Arabic (ara)

      Texts: 33

    • Azerbaijani (aze)

      Texts: 27

    • Central Kurdish (ckb)

      Texts: 29

    • English (eng)

      Texts: 33

    • Persian (fas)

      Texts: 32

    • Croatian (hrv)

      Texts: 23

    • Armenian (hye)

      Texts: 24

    • Georgian (kat)

      Texts: 1

    • Northern Kurdish (kmr)

      Texts: 28

    • Mongolian (mon)

      Texts: 25

    • Dari (prs)

      Texts: 28

    • Pushto (pus)

      Texts: 28

    • Romany (rom)

      Arli (dialect)

      Texts: 24

    • Russian (rus)

      Texts: 33

    • Somali (som)

      Texts: 29

    • Spanish (spa)

      Texts: 31

    • Albanian (sqi)

      Texts: 27

    • Thai (tha)

      Texts: 4

    • Tigrinya (tir)

      Texts: 29

    • Turkish (tur)

      Texts: 2

    • Uzbek (uzb)

      Texts: 25

    • Chinese (zho)

      Texts: 3

    • French (fra)

      Texts: 31

    More..

  • Modality

    Written Language

  • Size

    Words: 29008 (swe)

    Texts: 33 (swe)

    Words: 438614 (TOT)

    Texts: 580 (TOT)

  • Original source

    migrationsverket
    www.migrationsverket.se

Contact for questions about the data

Gunnar Eriksson

Is part of collection at SND

Related research data in SND's catalogue

Parallel texts from public agencies

This resource has the following relations

Parallel texts from the Swedish Migration Agency

Creator/Principal investigator(s)

Institute for Language and Folklore, Language Council of Sweden

Simon Dahlberg - Institute for Language and Folklore, Language Council of Sweden

Description

The texts have been downloaded using the command 'w3m -dump' from an ubuntu shell, whereafter the resulting text files were stripped to contain only the interesting text (no menus and such).

Data format / data structure

Text

Data collection

Mode of collection: Self-administered writings and/or diaries: web-based

Time period(s) for data collection: 2019-01-01 — 2019-01-31

Published: 2020-03-30