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Ruth Vatvedt Fjeld & Rune Lain Knudsen LBK2013 a lexicographic corpus for modern Norwegian bokml Purpose: Lemma selection Frequency based lemma selection Neologisms/obsolete words Singleword lemmas Mus (mouse) (meaning

  1. Ruth Vatvedt Fjeld & Rune Lain Knudsen LBK2013 – a lexicographic corpus for modern Norwegian bokmål

  2. Purpose: • Lemma selection Frequency based lemma selection Neologisms/obsolete words – Singleword lemmas » Mus (mouse) (meaning change) » Tastafon obsolete words – Multiword lemmas » Være lutter øre (be all ears) obsolete

  3. LBK – Lexciographical Bokmål Corpus • The documents in LBK2013 is restricted to the timespan of 1985-2013. – Availability – Modern language – Changes in lexicon related to existing dictionaries (built from excerpts of old language) – a balanced corpus of 100 mill. tokens

  4. Selection of text types • Modern fiction • Text books • Blogs • Factual prose • Law • Medicin • Natural siences • Humaniora • Sports … Institutt for lingvistiske og nordiske studier (ILN)

  5. Demography markers • Age • Sex • Place of birth and youth • Year of birth • Publisher • Year of publication • Such metadata makes it easy to construct subcorpora for comparative investigations and a wide range of queries Institutt for lingvistiske og nordiske studier (ILN)

  6. Text categories LBK2013 5 % 6 % 5 % 35 % Skjønnlitteratur Sakprosa Unormert Aviser og kulørte ukeblader TV-tekster 49 % 11. april 2011 Ny Powerpoint mal 2011 6

  7. How? LBK makes use of the IMS Corpus Workbench, a widely used tool set for managing and querying large text corpora. It is made available for researchers through Glossa, a web based interface for corpora developed at the Text Laboratory, ILN at the University of Oslo. Every document is POS-tagged with the Oslo- Bergen tagger. Additional metadata such as bibliographic and ethnographic information is manually annotated and stored as TEI headers.

  8. Resources 120 000 000 100 000 000 80 000 000 60 000 000 40 000 000 20 000 000 0

  9. Staff 8 7 6 5 4 3 2 1 0 PROJECT LEADER ASSISTANT ENGINEER

  10. New statistical tools • Frequency counts • Concordances • DeepDict analysis (Bick) • Word Sketch Engine (Kilgarriff)

  11. Why compile a balanced corpus Statistical analysis of interesting subcorpora for – Actual use of recommended morphology • (standardisation and documentation) wordform TV-text Total korpus NoTa tiden/tida (time) 72/28 92/8 60/40 takken/takka (thanks) 100/0 100/0 - hjelpen/hjelpa (help) 91/9 95/5 50/50 lysten/lysta (desire) 100/0 100/0 100/0 moren/mora (mother) 81/19 91/9 79/11 kvinnen/kvinna (woman) 100/0 99/1 100/0 uken/uka (week) 42/58 63/37 21/79

  12. How to mark up a corpus • PoS-tagging by automatic analysis • Grammar: valency/argument structure etc. • Jeg har tenkt til å gjøre det (I intend to do it) • Flaska knuste (the bottle broke)

  13. Muslim as first part of composita(1985-2000) 1985-1990 1991-1995 1996-2000 5 muslim 215 muslim 164 muslim 1 muslimsk 176 muslimsk 139 muslimsk 8 muslimsk-kroatisk 2 muslimsk-kroatiske 6 muslimsk-dominert 2 muslimske 2 muslimsk-dominert 11. april 2011 Ny Powerpoint mal 2011 13

  14. Muslim in composita (2001-2013) 2001-2005 2006-2010 2011-2013 1073 muslim 1217 muslim 948 muslim 987 muslimsk 923 muslimsk 499 muslimsk 14 muslimbrødrene 4 muslimene 3 muslimhat 5 muslimbror 1 muslimhets 2 muslimskdominert 3 muslimskføde 1 muslimsirkel 1 muslimhater 2 muslimsk-arabisk 1 muslimdominert 1 muslimhatende 1 muslimhater 1 muslimskhet 1 muslimvennlig 1 muslimsk-jødisk 1 muslimfrykten 1 muslimisme 1 muslimskdominert 1 muslimdebatt 1 muslimhets 11. april 2011 Ny Powerpoint mal 2011 14

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