CLARIN-NL - multi-lingual

AutoSearch

Jan Odijk — Fri, 06 Mar 2015 11:29:35 +0000

AutoSearch

Summary

AutoSearch allows users to upload corpora annotated at the token level for (extended) part of speech, lemma and word form in FoLiA or TEI format, after which the corpus can be searched for these properties with a Corpus of Contemporary Dutch-like interface

Background

AutoSearch allows users to define one or more corpora and upload data for the corpora, after which the corpora will be made automatically searchable in a private workspace. Users can upload text data annotated with lemma + part of speech tags in TEI or FoLiA format, either as a single XML file or as an archive (zip or tar.gz) containing several XML files. Corpus size is limited to begin with (25 MB limit per uploaded file; 500,000 token limit for an entire corpus), but these limits may be increased at a later point in time. The search application is powered by the INL BlackLab corpus search engine. The search interface is the same as the one used in for example the Corpus of Contemporary Dutch / Corpus Hedendaags Nederlands. For Dutch corpora without such annotations, one can first use TTNWW to enrich plain text with annotations for lemma and part of speech in FoLiA format.

Contacts

Project leader: Jan Theo Bakker  
CLARIN center: Institute for Dutch Lexicology (INL)
Help contact : helpdesk@clarin.nl

Links

Web-sites: https://portal.clarin.inl.nl/
User scenario's (screencasts, screenshots): n.a.
Manual: Manual
Tool/Service link: http://portal.clarin.inl.nl/autocorp/
Publications:

Research domain

Linguistics

Morpho-syntax

Lexicology

Syntax

browse

CLARIN centre

Dutch Language Institute

Country

Netherlands

@PhilosTEI Data

root — Sun, 25 Jan 2015 17:55:48 +0000

@philosTEI - TICCLing Philosophy

Summary

A multi-lingual, multi-script corpus of 18th-20th century philosophical texts. Used for the demonstration of an open source, web-based, user-friendly workflow from digital images of text to TEI, which enables building digital philosophy corpora.

Background

This test case corpus contains at least the following books and articles (maybe more will follow):

Wolff (1740) (Latin)
Bolzano (1837) (German)
Frege (1879) (German)
Tarski (1936) (Polish)

Philosophy and philosophy-informed intellectual history can profit immensely from teaming up with computer scientists and applying computational methods. A new empirical, datadriven and collaborative computational methodology can scale up our research and help making it more efficient and objective. The @PhilosTEI tool is able to build appropriate high quality, easily accessible, large-scale corpora of multi-script texts in a sustainable format (TEI) which are multi-language and from different historical periods in a reliable, efficient, user-friendly, sustainable and cost-cutting way.

Contacts

Project leader:  Dr. Arianna Betti (VU University Amsterdam)
CLARIN center: Huygens ING
Help contact : t.b.a.
Twitter: https://twitter.com/philostei

Links

Web-sites: http://www.axiom.humanities.uva.nl/PhilosTEI.html
User scenario's (screencasts, screenshots): t.b.a.
Manual: t.b.a.
Tool/Service link: t.b.a.
Data link: t.b.a.
Publications: t.b.a.

Country

Netherlands

CLARIN centre

Huygens ING

Language

Latin

Polish

German

Research domain

History

Philosophy

Resource tags

data

corpus

service

web-application

multi-lingual

Annotations

Linguistic Annotation

Orthographic

orthographic representation

normalized orthographic representation

Gloss

Format

Textual data

XML

TEI

FESLI Data

root — Sun, 25 Jan 2015 17:45:46 +0000

FESLI: Functional elements in Specific Language Impairment

Summary

A corpus with data from monolingual and bilingual children (Dutch - Turkish) with and without Specific Language Impairment (SLI).

Background

The FESLI-data come from two NWO-sponsored projects: BiSLI and Variflex. The numbers of children included in the resources are:

12 bilingual children without language impairment (SLI)
25 monolingual children with SLI
20 bilingual children with SLI

The children´s ages ranged from 6;0 to 8:5. For more precise information about the specific age distribution in each group, the reader is referred the dissertation written by Antje Orgassa (http://dare.uva.nl/document/147433). The non-impaired children were included in the Variflex project (data collected by Elma Blom) and also used in the BiSLI project; the data from the children with SLI were exclusive to the biSLI project.
Contacts

Project leader:  Prof.dr. Fred Weerman (University of Amsterdam)
CLARIN center: Meertens Institute
Help contact: n.a.

Links

Web-sites: n.a.
User scenario's (Demonstration (Dutch)): http://dev.clarin.nl/sites/default/files/FESLI%20Demonstrator%20scenario...
Manual: http://dev.clarin.nl/sites/default/files/FESLI%20User%20manual.pdf
Tool/Service link: http://yago.meertens.knaw.nl/apache/Fesli/
Data link: http://catalog.clarin.eu/vlo/search?7&fq=collection:Fesli
Publications: n.a.

Country

Netherlands

CLARIN centre

Meertens/HuC

Language

Dutch

Research domain

Linguistics

Morpho-syntax

Acquisition

Syntax

Resource tags

data

corpus

text corpus

web-application

multi-lingual

Annotations

Linguistic Annotation

Orthographic

orthographic representation

Morphological

lemma

Morphosyntactic

Part-of-speech

extended part of speech (inflection)

gender

Format

Textual data

XML

LAISEANG

Erica Renckens — Thu, 22 Jan 2015 11:30:22 +0000

LAISEANG: Language Archive of Insular South East Asia and West New Guinea

Summary

The LAISEANG corpus contains an unrivaled collection of multimedia materials and written documents from over 50 languages in Insular South East Asia and West New Guinea.

Background

The geographical region of insular South East Asia and New Guinea is well-known as an area of mega-biodiversity. Less well-known is the extreme linguistic diversity in this area: over a quarter of the world’s 6000 languages are spoken here. As small minority languages, most of these will cease to be spoken in the coming few generations. The LAISEANG corpus ensures the preservation of unique records of languages and the cultures encapsulated by them in the region. The language resources have been gathered by twenty linguists at, or in collaboration with Dutch universities over the last 40 years, and are compiled and archived in collaboration with The Language Archive (TLA) in Nijmegen. The resulting archive constitutes an unrivaled collection of multimedia materials and written documents from over 50 languages in Insular South East Asia and West New Guinea. Through the archive, future speaker communities and researchers are able to plumb the materials for answers to their own questions, even if they do not themselves know the language, and even if the language dies.

Contacts

Project leader: Dr. Marian Klamer (Leiden University)  
CLARIN center: Max Planck Institute for Psycholinguistics
Help contact:  https://tla.mpi.nl/contact/

Links

Web-sites: https://tla.mpi.nl/
User scenario's (screencasts, screenshots): n.a.
Manual: n.a.
Data link (IMDI browser): http://corpus1.mpi.nl/ds/imdi_browser/viewcontroller?request=view&nodeid...
Data Link (VLO): http://catalog.clarin.eu/vlo/search?fq=collection:TLA:+LAISEANG:+Insular...
Publications:
- Klamer, M, Trilsbeek, P, Hoogervorst, T and Haskett, C. 2017. Creating a Language Archive of Insular South East Asia and West New Guinea. In: Odijk, J and van Hessen, A. (eds.) CLARIN in the Low Countries, Pp. 113–121. London: Ubiquity Press. DOI: https://doi.org/10.5334/bbi.10. License: CC-BY 4.0

Country

Netherlands

CLARIN centre

MPI for Psycholinguistics

Language

Multiple languages

Research domain

Linguistics

Language Documentation

Resource tags

data

corpus

multi-media/muliti-modal

multi-lingual

Annotations

Linguistic Annotation

Translational

translation

Gloss

Orthographic Transcription

Format

Textual data

Plain text

Praat TextGrid

XML

EAF

Media data

JPEG

wav

MP4

MP3

@PhilosTEI

Erica Renckens — Wed, 21 Jan 2015 15:05:45 +0000

@philosTEI - TICCLing Philosophy

Summary

An open source, web-based, user-friendly workflow from digital images of text to TEI, which enables building digital philosophy corpora. This workflow uses a combination of an OCRopus / Tesseract webservice for text layout analysis and Optical Character Recognition (OCR) and a multilingual version of TICCL available as webservice TICCLops.

Background

Philosophy and philosophy-informed intellectual history can profit immensely from teaming up with computer scientists and applying computational methods. A new empirical, datadriven and collaborative computational methodology can scale up our research and help making it more efficient and objective. The tool is able to build appropriate high quality, easily accessible, large-scale corpora of multi-script texts in a sustainable format (TEI) which are multi-language and from different historical periods in a reliable, efficient, user-friendly, sustainable and cost-cutting way.

This is demonstrated on a multi-lingual, multi-script corpus of 18th-20th century philosophical texts. This test case corpus contains at least the following books and articles (maybe more will follow):

Wolff (1740) (Latin)
Bolzano (1837) (German)
Frege (1879) (German)
Tarski (1936) (Polish)

Contacts

Project leader:  Dr. Arianna Betti (VU University Amsterdam)
CLARIN center: Huygens ING
Help contact : t.b.a.
Twitter: https://twitter.com/philostei

Links

Web-sites: http://www.axiom.humanities.uva.nl/PhilosTEI.html
User scenario's (screencasts, screenshots): See ? demo menu item on http://ticclops.clarin.inl.nl/philostei/
Manual: http://ticclops.clarin.inl.nl/philostei/about.html
Tool/Service link: http://ticclops.clarin.inl.nl/philostei/
Publications: t.b.a.

Research domain

History

Philosophy

Language

German

Multiple languages

Resource tags

data

corpus

service

web-application

multi-lingual

Tool task

text processing

orthographic normalisation

CLARIN centre

Huygens ING

Country

Netherlands

EXILSEA

Erica Renckens — Wed, 21 Jan 2015 12:33:44 +0000

EXILSEA: Exploiting ISOcat's Language Sections in ELAN and ANNEX

Summary

Enhancements of the multimedia annotation tool ELAN and the accompanying ANNEX browser for users of different languages with the multilingual features of ISOCAT.

Background

The CLARIN data category system ISOcat offers the possibility to create multiple language sections for names, definitions and descriptions of data categories, English being the only obligatory language. The use of these multilingual functions in ISOcat for the creation of multilingual versions of the corpus metadata and annotations will only be a solution if the tools to annotate multimodal data and to visualise those annotations actually exploit the multilingual features. EXILSEA enhances the multimedia annotation tool ELAN and the accompanying ANNEX browser for this purpose.
This new functionality is being demonstrated for the Corpus NGT (for Sign Language of the Netherlands), which is originally glossed, translated, and annotated in Dutch. Its existing IMDI metadata has been updated to CLARIN-standard CMDI descriptions using bilingual ISOcat categories, and has likewise standardised the Controlled Vocabularies in the annotation files by using references to bilingual ISOcat categories.

Contacts

Project leader:  Dr. O.A. Crasborn (Radboud University)
CLARIN center: Max Planck Institute for Psycholinguistics
Help contact : https://tla.mpi.nl/contact/

Links

Web-sites: http://www.ru.nl/sign-lang/projects/exilsea/
User scenario's (screencasts, screenshots): Screencast
Manual: http://www.mpi.nl/corpus/manuals/manual-elan.pdf
Tool/Service link: https://tla.mpi.nl/tools/tla-tools/elan/
Publications: n.a.

Research domain

Linguistics

Sign language

Language

Multiple languages

Language independent

Resource tags

multi-media/muliti-modal

service

web-application

local tool

multi-lingual

Tool task

annotation

CLARIN centre

MPI for Psycholinguistics

Country

Netherlands

VALID

Erica Renckens — Mon, 12 Jan 2015 17:07:03 +0000

VALID - vulnerability in language acquisition: language impairments in Dutch

Summary

An open access multimedia archive of language pathology data collected in the Netherlands, primarily on Dutch, audio files and transcripts. Currently, this corpus contains 5 different data sets. In the VALID data archive old, current and future data can be brought together.

Background

VALID, an open access multimedia language data archive, facilitates and promotes innovative research in the area of language impairment. There are a number of compelling reasons for exchanging and sharing this kind of data. Obviously, in a small country like the Netherlands a considerably smaller amount of language data is being collected than in much larger regions, especially so with respect to language disorders, a highly specific research domain. The combination of a wide range of language impairments in one data archive not only enhances the study of similar impairments but also advances comparisons between different disorders. Moreover, the inclusion of different age groups allows for quasi-longitudinal research designs. Finally, analysis of task properties and effects that are specific to pathological language groups can make a significant contribution to evidence-based research.

The following data sets define the launching platform for the VALID data archive, together with the BISLI data set that is currently being curated (FESLI):

The SLI RU-Kentalis database: the expression of spatial relations by children with SLI and normally developing children in their spoken language production
The UU SLI-Dyslexia project database: early language development in children at familial risk of dyslexia
The bilingual deaf children RU-Kentalis database: the bilingual language and communication development of young deaf children in Sign Language of the Netherlands (SLN) and Dutch (D)
The ADHD and SLI corpus UvA database: the language and executive functioning profiles of children with ADHD and children with SLI and TD children
The deaf adults RU database: the acquisition of morphosyntactic aspects of Dutch by deaf Dutch adults (late L1/early L2) and hearing Turkish and Moroccan-Arabic L2-learners of Dutch (late L2).

For all data sets concerned, written informed consent from the participants or their caretakers has been obtained. Informants or their caretakers have agreed to share their speech/language data and metadata, on the condition of anonymity, which will be ensured by the data providers and infrastructure specialists Contacts

Project leader: Dr. J. Klatter (Radboud University)  
CLARIN center: Max Planck Institute for Psycholinguistics
Help contact: j.klatter@let.ru.nl (coordinator)

Links

Web-sites: http://validdata.org/
User scenario's (screencasts, screenshots): n.a.
Manual: n.a.
Tool/Service link: http://hdl.handle.net/1839/00-8C315BC1-AD5E-4348-9A79-A41FE3DE1150 (CMDI top node)
https://corpus1.mpi.nl/ds/asv/?openpath=node:2102153 (metadata browser)
Publications:
- Bergmann, L, van Hout, R and Klatter-Folmer, J. 2017. SLI Diagnostics in Narratives: Exploring the CLARIN-NL VALID Data Archive. In: Odijk, J and van Hessen, A. (eds.) CLARIN in the Low Countries, Pp. 167–180. London: Ubiquity Press. DOI: https://doi.org/10.5334/bbi.14. License: CC-BY 4.0
- Klatter, J., Hout, R. van, Heuvel, H. van den, Fikkert, P., Baker, A., Jong, J. de, Wijnen, F., Sanders, E. & Trilsbeek, P. (2014). Vulnerability in Acquisition, Language Impairments in Dutch: Creating a VALID Data Archive. Language Resources and Evaluation Conference Proceedings (LREC) May 26-31, 2014, Reykjavik. pp. 357-364.
- Heuvel, H. van den, Sanders, E., Klatter, J., Hout, R. van, Fikkert, P., Baker, A., Jong, J. de, Wijnen, F. & Trilsbeek, P. (2014). Data curation for a VALID Archive of Dutch Language Impairment Data. In: Dutch Journal of Applied Linguistics, 3(2), pp. 127-135. DOI:10.1075/dujal.3.2.02heu

Country

Netherlands

CLARIN centre

MPI for Psycholinguistics

Language

Dutch

Dutch Sign Language

Research domain

Communication & Media Studies

Linguistics

Morpho-syntax

Acquisition

Specific Language Impairment Studies

Sign language

Resource tags

data

corpus

multi-media/muliti-modal

mono-lingual

multi-lingual

Annotations

Linguistic Annotation

Discourse

Orthographic

Orthographic Transcription

Phonetic / Phonological

phonetic representation

Morphosyntactic

Part-of-speech

Format

Textual data

Plain text

PDF

CSV

Praat TextGrid

CHAT

XML

EAF

Media data

wav

MP4

FESLI

root — Sun, 27 Apr 2014 10:36:48 +0000

FESLI: Functional elements in Specific Language Impairment

Summary

Tool for the quantitative and qualitative comparison of the acquisition of functional elements (morphological inflection, articles, pronouns etcetera) in a corpus with data from monolingual and bilingual children (Dutch - Turkish) with and without Specific Language Impairment (SLI).

Background

The FESLI-data come from two NWO-sponsored projects: BiSLI and Variflex. The numbers of children included in the resources are:

12 bilingual children without language impairment (SLI)
25 monolingual children with SLI
20 bilingual children with SLI

Project leader:  Prof.dr. Fred Weerman (University of Amsterdam)
CLARIN center: Meertens Institute
Help contact: n.a.

Links

Web-sites: n.a.
User scenario's (Demonstration (Dutch)): http://dev.clarin.nl/sites/default/files/FESLI%20Demonstrator%20scenario...
Manual: http://dev.clarin.nl/sites/default/files/FESLI%20User%20manual.pdf
Tool/Service link: http://yago.meertens.knaw.nl/apache/Fesli/
Publications: n.a.

Research domain

Linguistics

Morpho-syntax

Acquisition

Syntax

Language

Dutch

Resource tags

data

corpus

text corpus

web-application

multi-lingual

Tool task

analysis

corpus exploration

visualisation

CLARIN centre

Meertens/HuC

Country

Netherlands

GrNe

root — Sun, 27 Apr 2014 10:14:38 +0000

GrNe: Greek-Dutch dictionary

Summary

Online dictionary (ancient) Greek - Dutch for the letter Pi. Search functions include searches for Greek lemmata, search of Greek declined or conjugated word-forms that lead to the correct lemma (‘lemmatizer’), searches for Dutch words leading to different Greek lemmata, and etymological searches. The dictionary is linked to Logeion, the international website of Greek dictionaries at the University of Chicago. The developers estimate that a complete version of the dictionary will be finished by the end of 2016 and that it will be published by the end of 2017.

Background

A new dictionary ancient Greek – Dutch is currently under construction at Leiden University. The dictionary is being financed through the 2010 Spinoza award of project director Ineke Sluiter. CLARIN funding enabled the digital production of the letter Pi. Currently, the letters beta, gamma, zeta, pi and sigma are available onlineas well, as parts of the letter alpha. The developers estimate that a complete first version of the dictionary will be finished by the end of 2015 and that it will be published by the end of 2016.
The corpus that is being covered by this dictionary covers Greek literature from its beginnings (Homer) and consists of ca. 3.680.000 words (tokens); it includes all classical authors from the 5th and 4th centuries BCE, and a selection of later Greek (selection based on the likelihood that the text will be used by our target groups), but all of the New Testament, Lucian and Plutarch. The dictionary will eventually contain ca. 52.500 headwords. It is based on a thorough comparison of state of the art dictionaries, supplemented with the help of the material from the Thesaurus Linguae Graecae.
Greek morphology is complicated. In order to use a dictionary effectively, a rather high level of initial language competence is necessary for the user to be able to relate the word-form s/he finds in a text to the correct basic lemma form, where the definition of the word can be found. This digital dictionary however has an added ‘lemmatizer’ function, which enables the user to type in the word as found in the text and to be redirected to the correct lemma. The digital resource enables both Greek-Dutch searches and searches for the possible Greek equivalents of Dutch terms. This also makes it possible to explore the relation of semantic fields in Dutch and Greek. E.g., it is possible to locate all Greek words that have ‘courage’ as part of their definition. Furthermore, the digital resource makes it possible to locate different Greek words with the same etymological roots. And finally, the dictionary is linked to the website of the University of Chicago, where a comparison of all Greek-x dictionaries is supported. Here, one can enter a Greek word and be provided with the equivalents and definitions in all the dictionaries that are linked on this website.

Contacts

Project leader:  Prof. dr. Ineke Sluiter (Leiden University)
CLARIN center: University Library of the University of Amsterdam
Help contact: woordenboekgrieks@hum.leidenuniv.nl

Links

Web-sites: http://www.woordenboekgrieks.nl/
User scenario's (screencasts, screenshots): http://www.woordenboekgrieks.nl/hulp.html
Manual: http://www.woordenboekgrieks.nl/hulp.html
Tool/Service link: http://www.woordenboekgrieks.nl/
Publications: n.a.

Research domain

Literary Studies

Linguistics

historical linguistics

Language

Classical Greek

Dutch

Resource tags

data

lexicon

service

web-application

multi-lingual

Tool task

browse

text processing

lemmatisation

CLARIN centre

DANS

Country

Netherlands

WAHSP/BILAND/TexCavator

root — Mon, 21 Apr 2014 13:37:11 +0000

WAHSP/BILAND: web application for (bilingual) historical sentiment mining in public media

Summary

WAHSP/BILAND is a research tool for historians that uses textual data of news media from the period 1863-1940 of the Koninklijke Bibliotheek and Staatsbibliothek zu Berlin as input material. One can search with single query terms or with combinations thereof. Apart from showing the articles that match the query, the results can be visualized by word clouds of single articles together with sentiment words highlighted, or by a word cloud of the whole result set together with newspaper statistics derived from their metadata. The WAHSP and BILAND applications have been succeeded by the TexCavator application. Links below are to TexCavator.

Background

WAHSP/BILAND enables historians to collect and process large bi-lingual (Dutch and German) sets of opinionated text-data from news media and extract discourse identity and intensity patterns in two different countries with different scripts (e.g. Latin and Gothic). This tool offers a unique opportunity for non-technical humanities researchers to perform a new kind of historical e-research for studying changing opinions, notions and perceptions regarding public health and policy issues.
The text mining tools for opinion/sentiment extraction that form the technological base for WAHSP/BILAND have been developed within the NTU/STEVIN DuOMAn project. The technology includes algorithms and tools for identification of polarity (positive/support or negative/criticism), sources (opinion-holders), frequency of items and specific targets of discourses. The tools and subjectivity lexicons are implemented as modules of ‘Fietstas’ 2, an web service for text analysis. Fietstas also provides other essential text processing modules (morphological normalization, format and encoding reconciliation, named entity recognition and normalization, etc.) and visualization modules (interactive word clouds and timelines). Fietstas has been developed and is being used for processing of large-scale datasets in the context of several projects, such as DuOMAn. A text translation service based on Machine Learning can be used to translate existing lexicons and documents between Dutch and German (both directions).
The web application uses this functionality of Fietstas to leverage interactive creation, expansion and refinement of lexicons specific to the user’s research questions and needs. For BILAND new bilingual and biscriptural lexicons have been developed. The application uses the visualization features of Fietstas to allow users to examine the research domain along the dimensions of time, context, and the identity and frequency of the discourse. WAHSP/BILAND is meant to be generic and testable in all domains, where analysis of topics, contexts and attitudes in large volumes of text is needed.

Contacts