Overview of the current status of WP3

1. WP3: Linguis,cs – Text
Sjef Barbiers
Partners
INT, MI, RU, RUG, UU, VU
Today’s demo’s
Integra,ng Diachronous Conceptual Lexicons through Linked
Open Data – VU
GrETEL, PaQU: Searching Tree Banks – RUG / UU / Leuven
MIMORE in Nederlab: Morphosyntac,c dialect research – Meertens

2. Integra,ng Diachronous Conceptual Lexicons
through Linked Open Data
Isa Maks1, Marieke van Erp1, Piek Vossen1, Rinke Hoekstra, Nicoline van der Sijs
1:Fac. of Humani,es, Vrije Universiteit Amsterdam (WP3) 2:Computer Science Department, Vrije Universiteit Amsterdam (WP4)
3:Meertens Ins,tuut Amsterdam( WP2)
Integra(on and enrichment of several exis(ng historical conceptual lexicons,
matching the ontologies, using linked open data principles.
Enables:
• tracing changes in word meanings and concepts over (me
• query expansion
• natural language processing of historical Dutch texts.

3. xsd:string
ontolex:
LexicalEntry
rdfs:label
penn:Tag ontolex:LexicalSense
ontolex:Form
olia:hasTag
ontolex:sense
ontolex:canonicalForm ontolex:Formontolex:otherForm
lemon-cltl:Usage
xsd:date
xsd:date
lemon:Sense
Definition
ontolex:Lexical
Concept
ontolex:definition
ontolex:isSenseOf
lemon-cltl:periodEnd
ontolex:usage
xsd:string
skos:prefLabel
skos:Concept
skos:related
lemon-cltl:periodStart
dbo:Place
lemon-cltl:geographicArea
dbo:Thing
dct:subject
skos:concept
is a
ontolex:reference
lemon-cltl:
SpatioTemporalScope
lemon-cltl:scope
lexinfo:Register
lexinfo:register
Prefixes:
ontolex: http://www.w3.org/ns/lemon/ontolex#
lexinfo: http://www.lexinfo.net/ontology/2.0/lexinfo#
penn: http://purl.org/olia/penn.owl#
olia: http://purl.org/olia/olia.owl#
xsd: http://www.w3.org/2001/XMLSchema#
skos: http://www.w3.org/2004/02/skos#
dct: http://purl.org/dc/terms/
dbo: http://dbpedia.org/ontology/
lemon:cltl: additional modeling (in progress)
Ontology or classifica,on
Which concept? Is it a plant, an
occupa,on, an emo,on, etc. ?
Words
Which words can express these
concepts? part-of-speech, form
variants, spelling variants?
When
In which period are these words
used?
Where
In which part of the Netherlands
or Belgium is this word used?
Provenance
Which source provided the informa,on?
Modelling the lexicons as linked open data

4. Resources
1600 EmbodiedEmo,ons
h`ps://www.esciencecenter.nl/project/from-
sen,ment-mining-to-mining-embodied-
emo,ons
emo,ons
1650 Meijers Meijers Woordenschat (1669) all domains
1800 HISCO h`p://historyofwork.iisg.nl/ occupa,on
1850 Brouwers Brouwers Thesaurus (1987) all domains
1885 Pland h`ps://www.meertens.knaw.nl/pland/ plants
1950 ODWN
h`p://www.cltl.nl/results/demos/open-
source-dutch-wordnet/ all domains
other resources will be added in the future

5. Query expansion
Finding occupa(ons in historic texts
‘small farmers’
En van de schamelheid zijner plaggen had er de heikeuter nog eerst den
langen weg te gaan tot de burgers van Venlo, eer hij de winst van zijn
arbeid ingeruild zag tegen 't noodige voor een schraal bestaan. (Felix
Ru`en, 1918, Ons mooie Limburg, DBNL)
Hisco
[occupa7on-65111-small
farming]
kleinboer
kleinlandbouwer
keuterboer
…........
Brouwers
[concept?]
keuterboer
heikeuter
landbouwer
….........

6. GrETEL, PaQU
Gertjan van Noord (RUG) – Jan Odijk (UU)
• Web applica,ons: search in treebanks
– Treebank = text in which each sentence has a syntac,c parse
• With interfaces designed for linguists
• Enables syntac,c research
• Applica,ons language-independent but need language-
specific components
– PaQu, GrETEL: Dutch only
– PolyGrETEL: mul,ple languages

7. Development Plan & Status
GrETEL PaQU
Base CLARIN-NL CLARIN-NL
Own Corpus CLARIAH CLARIN-NL
Metadata CLARIAH CLARIAH
Analysis
Component CLARIAH CLARIN-NL + CLARIAH
More formats CLARIAH CLARIAH
Interface CLARIAH CLARIN-NL
More Corpora CLARIAH CLARIAH
GREEN = done ORANGE= par,al RED= TO DO

8. Research Done
• PhD on verb clustering in Dutch: Augus,nus (2015):
• acquisi,on of the words zeer, heel, erg (`very’): Odijk
(2015, 2016)
• norma,ve and non-norma,ve variants of 12 Dutch
construc,ons : Odijk (2015), van Noord & Odijk
(2016)
• agreement in copular construc,ons: Van Eynde et al.
(2016)

9. Hun – Zij/Ze as subject
Per million
words
WriQen Spoken
hun
0 20
zij (mv) 343 360
ze (mv) 1481 4107
9
• Hun very rare, only in spoken corpus, only in NL,
only in unprepared speech (a-i)

10. Hem/’m – Hij/ie as subject
• ‘m rare, only in spoken corpus, only in Flanders,
only in unprepared speech (a-h)
Per million
words
WriQen Spoken
hem/ ‘m 0 101
hij 2703 2686
ie 55 1919
10

11. References
L. Augus,nus (2015): Complement Raising and Cluster Forma,on in Dutch: A
treebank-supported inves,ga,on, PhD KU Leuven, Belgium.
Odijk, J. (2015) 'Linguis,c Research with PaQU' Computa(onal Linguis(cs in The
Netherlands journal 5, p. 3-14 [pdf]
Odijk, J. (2016) ‘A Use Case for Linguis,c Research on Dutch with CLARIN’, in K. De
Smedt (ed.), Selected Papers from the CLARIN Annual Conference 2015, 45-61.
[Abstract and Fulltext]
Odijk, J. (2015), 'Zoeken naar Construc,es', presenta,on and poster held at the
DRONGO Language Fes,val, Utrecht, 26 September 2015. [presenta,on] [poster]
Noord, G. van & J. Odijk (2016). `Goed of Fout: Wat gebruikt men feitelijk?’,
presenta,on at the `Grote Taaldag' (TIN), Utrecht, 6 February 2016. [handout]
[pptx] [pdf]
Van Eynde, F, L. Augus,nus & V. Vandeghinste (2016).'Number agreement in copular
construc,ons: A treebank-based inves,ga,on'.doi:10.1016/j.lingua.2016.02.001 to
appear in Lingua. [URL]

12. Upgrade MIMORE
Marc Kemps Snijders - Sjef Barbiers (Meertens)
• Morphosyntac,c research tool for three Dutch dialect
databases (CLARIN)
• Integra,on into Nederlab: Interface - MTAS
• Integra,on of the SAND maps from SAND Volumes I and II
• Workspace with opera,ons on virtual collec,ons

13. Search for subject doubling
in the Syntac7c Atlas of the
Dutch Dialects (SAND)

14. Show the data underlying the map
of subject doubling 2.singular
Save as corpus

15. Search for a poten7ally
correla7ng property in a different
database (DIDDD):
ar7cle-demonstra7ve sequences

16. POS tag specifica7on of Search
D(art,def) followed by D(dem,def)

17. Result list with (a.o.).
KWIC concordance and POS tags
Save as corpus

18. Saved data sets in workspace

19. Geographic distribu7on
of the two phenomena