CLARIN-NL - search

Corpus Studio Web

Jan Odijk — Thu, 11 Aug 2016 14:52:48 +0000

Corpus Studio Web

Summary

CorpusStudio is a web application that facilitates in-depth quantitative syntactic research for linguists.

Background

CorpusStudio is a web application that facilitates in-depth quantitative syntactic research for linguists. It does so by supporting researchers in writing queries that operate on syntactically parsed text corpora in a number of major xml formats. Queries that belong together are kept in xml documents that are called ‘Corpus Research Projects’ (CRPs). These documents contain the queries, the order in which they are to be executed, meta-information about the queries and the project as a whole, as well as a specification of the input used for the project. The use of CRPs helps improve the replicability of corpus research.

Access

Any CLARIN-NL user can access the CorpusStudio web application and make use of the 'standard' corpora. New users must provide a login name and password, after which they can make use of the application.

Adaptable

The CorpusStudio code is open-source. Users can take the code, adapt it and use it for their own purposes. Users can also take the code from GitHub as it is, but build their own server in order to run the application on their own text-corpora. User documentation and an API are available (see below). The current version of CorpusStudio supports xml text corpora in the FoLiA and Psdx formats. Extensions to other xml formats are possible.

Main features

Keep all important aspects of a research project in one file
Define one or more search queries in a hierarchy
Uses w3c developed Xquery and Xpath
Integrated CorpusStudio-specific Xquery functions
User-definable functions and variables
Create corpus result databases with user-definable features accompanying each hit
Divide the output into calculatable categories
Divide the results into meta-data-dependent groups
Parallel processing yields a speed-up of a factor 20-100 compared to the Windows version
Compatibility with the Windows programs "Cesax" and "CorpusStudio"

Limitations and future developments

Current limitations to the program include: working with result database, restricted login system, no document view, grouping is restricted to system-defined groups, no query or project wizard. Although the CLARIN-NL project has stopped in December 2015, every effort will be undertaken to make sure that a number of essential features are going to be added.

Contacts

Project leader: Erwin Komen  
CLARIN center:
Help contact: E.Komen@Let.ru.nl

Links

Web-sites:
User scenario's (screencasts, screenshots): n.a.
Manual:
- Komen, Erwin R. 2015. "Corpus Studio: the web application". User documentation. version 1.7. Meertens Instituut, Amsterdam. http://hdl.handle.net/21.11114/COLL-0000-000B-C289-F
- Komen, Erwin R. 2016. "An API for the CorpusStudio web application". version 1.3. Meertens Instituut, Amsterdam. http://hdl.handle.net/21.11114/COLL-0000-000B-C288-0
Tool/Service link: http://hdl.handle.net/21.11114/COLL-0000-000B-C287-1
Publications:
- Komen, Erwin R. 2011. Coreferenced corpora for information structure research. In Outposts of Historical Corpus Linguistics: From the Helsinki Corpus to a Proliferation of Resources. (Studies in Variation, Contacts and Change in English 10) Jukka Tyrkkö, Terttu Nevalainen, Matti Rissanen & Matti Kilpiö (eds). Helsinki, Finland: Research Unit for Variation, Contacts, and Change in English.
- Komen, Erwin R. 2013. Finding focus: a study of the historical development of focus in English. Utrecht: LOT.
- Komen, Erwin R. 2013. Corpus databases with feature pre-calculation. In Proceedings of the twelfth workshop on treebanks and linguistic theories (TLT12). Sandra Kübler, Petya Osenova & Martin Volk (eds), 85-96. Sofia, Bulgaria: The institute of information and communication technologies, Bulgarian academy of sciences.

Research domain

Linguistics

Syntax

browse

CLARIN centre

Meertens/HuC

Country

Netherlands

Nederlab

Erica Renckens — Mon, 10 Aug 2015 08:07:39 +0000

Nederlab, online laboratory for humanities research on Dutch text collections

Summary

A user-friendly and tool-enriched open access web interface that that aims at containing all digitized texts relevant for the Dutch national heritage and the history of Dutch language and culture (c. 800 - present).

Background

The Nederlab project aims to bring together all digitized texts relevant to Dutch national heritage, the history of Dutch language and culture (c. 800 - present) in one user-friendly and tool-enriched open access web interface, allowing scholars to simultaneously search and analyze data from texts spanning the full recorded history of the Netherlands, its language and culture. The project builds on various initiatives: for corpora Nederlab collaborates with the scientific libraries and institutions, for infrastructure with CLARIN (and CLARIAH), for tools with eHumanities programmes such as Catch, IMPACT and CLARIN (TICCL, frog).
Nederlab will offer a large number of search options with which researchers can find the occurrence of a particular term in a particular corpus or subcorpus. It'll also offer visualization of search results through line graphs, bar graphs, circle graphs, or scatter graphs. Furthermore, this online lab will offer a large set of tools, like tokenization tools, tools for spelling normalization, PoS-tagging tools, lemmatization tools, a computational historical lexicon and indices. Also, the use of (semi-) automatic syntactic parsing, tools for text mining, data mining and sentiment mining, Named Entity Recognition tools, coreference resolution tools, plagiarism detection tools, paraphrase detection tools and cartographical tools is offered
The first version of Nederlab was launched in early 2015, it’ll be expanded until the end of 2017. Nederlab is financed by NWO, KNAW, CLARIAH and CLARIN-NL.

Contacts

Project leader:  prof. dr. Hans Bennis, Meertens Institute
CLARIN center: Meertens Institute
Help contact: hennie.brugman@meertens.knaw.nl

Links

Web-sites: http://www.nederlab.nl/
User scenario's (screencasts, screenshots): n.a.
Manual: http://www.nederlab.nl/onderzoeksportaal/?action=help
Tool/Service link: http://www.nederlab.nl/onderzoeksportaal/
Publications: http://www.nederlab.nl/wp/?page_id=12

Research domain

Cultural Sciences

History

Linguistics

Language

Dutch

Resource tags

data

corpus

text corpus

service

web-application

mono-lingual

Tool task

semantic registry & mapping

analysis

evaluation

annotation

corpus exploration

browse

visualisation

text processing

POS tagging

multiword unit identification

lemmatisation

parsing

co-reference assignment

tokenization

CLARIN centre

Meertens/HuC

Country

Netherlands

CMD2RDF

root — Wed, 10 Jun 2015 09:00:56 +0000

CMDI2RDF - CMDI to RDF conversion

Summary

There is growing amount of on-line information available in RDF format as Linked Open Data (LOD) and a strong community very actively promotes its use. The publication of information as LOD is also considered an important signal that the publisher is actively searching for information sharing with a world full of new potential users. Added advantages of LOD, when well used, are the explicit semantics and high interoperability. But the problematic modelling by non-expert users offsets these advantages, which is a reason why modelling systems as CMDI are used. The CMDI2RDF project aims to bring the LOD advantages to the CMDI world and make the huge store of CMDI information available to new groups of users and at the same time offer CLARIN a powerful tool to experiment with new metadata discovery possibilities.

Background

The CMD2RDFservice was created to allow connection with the growing LOD world, and facilitate experiments within CLARIN merging CMDI with other, RDF based, information sources.
One of the promises of LOD is the ease to link data sets together and answer queries based on this ‘cloud’ of LOD datasets. Thus in the enrichment and use cases part of the project we looked at other datasets to link to the CLARIN joint metadata domain. We used the WALS N3 RDF dump for one of the use cases. Although it is in the end relatively easy to go from a specific typological feature to the CMD records via a shared URI, it still showcased a weakness of the Linked Data approach. One has to carefully inspect the property paths involved. And in this case the path was broken as there was no clear way to go from the WALS feature data to the WALS language info except for extracting the WALS language code from the feature URI pattern and insert it the language URI pattern. This showcases that although the big LOD cloud shows potential for knowledge discovery by crossing dataset boundaries, design decisions in the individual datasets can still hamper algorithms and manual inspection is needed.
The CMD2RDF service was developed at the TLA/MPI for Psycholinguistics and DANS and later moved to Meertens Institute where the expertise is available. The CMDI2RDF service has been further professionalised and extended by the Dutch CLARIAH project.

Contacts

Project leader: Menzo Windhouwer
CLARIN center: Meertens Institute
Help contact : Menzo Winhouwer menzo.windhouwer@meertens.knaw.nl

Links

Web-sites: http://cmdi2rdf.meertens.knaw.nl/cmd2rdf/ https://trac.clarin.eu/wiki/CMD2RDF/sysarch
User scenario's (screencasts, screenshots): n.a.
Manual: https://catalog.clarin.eu/ds/cmd2rdf/api
Tool/Service link: http://cmdi2rdf.meertens.knaw.nl/cmd2rdf/
Publications: M. Durco, M. Windhouwer. From CLARIN Component Metadata to Linked Open Data. In Proceedings of the third Workshop on Linked Data in Linguistics: Multilingual Knowledge Resources and Natural Language Processing (LDL 2014). At LREC 2014, Reykjavik, Iceland, May 27, 2014.

Resource tags

service

web-application

Tool task

semantic registry & mapping

CLARIN centre

Meertens/HuC

Country

Netherlands

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

Language

Language independent

Resource tags

service

web-application

multi-lingual

Tool task

corpus exploration

browse

CLARIN centre

Dutch Language Institute

Country

Netherlands

OpenSONAR

Erica Renckens — Thu, 22 Jan 2015 11:15:48 +0000

OpenSONAR: a 500 MW reference corpus

Summary

OpenSoNaR is an online system that allows for analyzing and searching the large scale Dutch reference corpus SoNaR. Due to the size of the corpus (500 million words), accessing the information contained in the dataset has proven to be difficult for less technically inclined researchers. OpenSoNaR facilitates the use of the SoNaR corpus by providing a user-friendly online interface.

Background

SoNaR is a 500-million-word reference corpus of contemporary written Dutch for use in different types of linguistic (incl. lexicographic) and HLT research and the development of applications. The STEVIN funded SoNaR project (2008-2011) built on the results obtained in the D-Coi and Corea projects which were awarded funding in the first call of proposals within the STEVIN programme.
SONAR contains over 500 million words (i.e. word tokens) of full texts from a wide variety of text types including both texts from conventional media and texts from the new media. All texts except for texts from the social media (Twitter, Chat, SMS) have been tokenized, tagged for part of speech and lemmatized, while in the same set the Named Entities have been labelled. All annotations were produced automatically, no manual verification took place.
The SoNaR project was carried out by Katholieke Universiteit Leuven (CCL), Hogeschool Gent (Dept. Vertaalkunde, LT3), Radboud University Nijmegen (CLST), Tilburg University (TiCC/ILK), Twente University (HMI), and Utrecht University (UiL-OTS). It was coordinated by Radboud University.
Due to the size of the SoNaR corpus the number of hits shown in OpenSONAR is limited to 8 million hits. If the results of your query exceeds this limit only the first 8,000,000 hits will be shown.

OpenSONAR is an online application for exploration of and searching in the SoNaR corpus. In the Exploration (Dutch: verken) interface you can look into the corpus distributions, request statistics from sub-corpora, retrieve n-grams from sub-corpora and search for specific documents using the SoNaR document ID. In the Search (Dutch: zoek) interface you can use four different search strategies: simple (simpel), extended (uitgebreid), advanced (geavanceerd) or expert (expert).

In OpenSONAR click the green question mark in the left upper corner for a guided tour (in Dutch).

Contacts

Project leader:  Dr. Martin Reynaert (Tilburg University)
CLARIN center: INL
Help contact : reynaert@uvt.nl

Links

Web-sites: http://opensonar.inl.nl
User scenario's (screencasts, screenshots): n.a.
Manual: http://ticclops.uvt.nl/SoNaR_end-user_documentation_v.1.0.4.pdf http://zilla.taalmonsters.nl/opensonar/OpenSoNaR%20Handleiding.pdf [Dutch]
Tool/Service link: http://opensonar.inl.nl
Publications: Oostdijk, N., Reynaert, M., Hoste, V., Schuurman, I. (2013) The Construction of a 500 Million Word Reference Corpus of Contemporary Written Dutch in: Essential Speech and Language Technology for Dutch: Results by the STEVIN-programme (eds. P. Spyns, J. Odijk), Springer Verlag.

Research domain

Linguistics

Morpho-syntax

Lexicology

Morphology

Syntax

Language

Dutch

Resource tags

service

web-application

web-service

mono-lingual

Tool task

corpus exploration

browse

CLARIN centre

Dutch Language Institute

Country

Netherlands

BNM-I

Erica Renckens — Wed, 21 Jan 2015 15:26:37 +0000

BMN-I: Linked Data on Middle Dutch Sources Kept Worldwide

Summary

Web application for consultation, using facetted search, and collaborative editing of the curated e-BNM collection of textual, codicological and historical information about thousands of Middle Dutch manuscripts kept world wide.

Background

The Bibliotheca Neerlandica Manuscripta and Impressa collects and makes available information on medieval manuscripts produced in the Netherlands regardless where they are kept. Documentation activities concentrate on the Middle-Dutch texts and their authors that have been transmitted in these manuscripts, on the individuals and institutions that have been involved in the manuscript production (scribes, illuminators, monasteries) and on the former and present manuscript owners.
Since 1991 two-thirds of this ‘paper’ information, checked and supplemented with information from recent publications, has been converted into electronic data and incorporated in a database ( BNM-I ), which can be searched online. In 2013 this database was converted in the e-BNM+ project into a flexible datastructure that turned BNM-I into a key open access resource to which many other resources can easily be linked.
The new BNM-I:

will be freely accessible for every user, anywhere in the world;
can easily implement new contributions or corrections by scientists;
can easily be linked to related databases - in the near future cross searching several databases in one interface will be possible;
will be prepared for the inclusion of new data, like:
- research data on Middle Dutch texts that were printed before 1541 and the books in which they are preserved;
- articles on Middle Dutch texts and their authors (associated with the current thesaurised information).

Contacts

Project leader:  Dr André Bouwman (Leiden University Libraries)
CLARIN center: Huygens ING
Help contact: https://www.huygens.knaw.nl/gerritsen

Links

Web-sites: https://www.huygens.knaw.nl/ebnm/?lang=en
User scenario's (screencasts, screenshots): t.b.a.
Manuals:
Tool/Service link: https://bnm-i.huygens.knaw.nl
Publications: t.b.a.

Research domain

History

Literary Studies

Language

Dutch

Resource tags

data

corpus

text corpus

lexicon

service

web-application

mono-lingual

Tool task

analysis

corpus exploration

metadata editing

CLARIN centre

Huygens ING

Country

Netherlands

DSS

Erica Renckens — Wed, 21 Jan 2015 14:51:19 +0000

DSS: Dutch Ships and Sailors

Summary

A tool chain and methodology for converting legacy datasets in the area of maritime history. Set up to facilitate over 25 data sets, the initial population consists of 4 selected maritime-historical datasets.

Background

The maritime industry has been central to regional and global economic, social and cultural exchange. It is also one of the best historically documented sectors of human activity. Many aspects of it have been recorded by shipping companies, governments, newspapers and other institutions. In the past few decades, much of the data in the preserved historical source material has been digitized. Among the most interesting data are those on shipping movement and crew members. The Dutch Republic in the 17th and 18th centuries had to rely to a large extent on immigration to man its fleet. Especially in Asian waters, it also relied on Asian crews.

Often information that deals with the same shipping movements and crew composition is spread over several historical sources and hence over several databases. The data often refers to the same ‘places’, ‘ships’, ‘persons’ and ‘events’. By linking the different available databases, the data complements and amplifies each other, and new research possibilities open up. Ideally, we would want to follow a ship from port to port, and crew members pursuing their careers from ship to ship.

The Dutch Ships and Sailors project provides a tool chain and methodology for converting legacy datasets. The infrastructure includes common vocabularies to normalize and enrich existing data. Links are established between the datasets and to other relevant datasets. In doing so, Dutch Ships and Sailors builds a (semantic) web-based structure that aims to function as a future platform and infrastructure for maritime historical datasets. Initially, this portal contains the following datasets:

Historische Kranten of the Koninklijke Bibliotheek;
The Monsterrollen databases contains elaborate data on the crew composition of ships from the Northern Netherlands (c. 1800-1930) and provides information on the sailors involved, such as the places of origin, wage and age;
The databases VOC Opvarenden, providing extensive data on crews of VOC ships leaving the Republic;
The database Dutch-Asiatic Shipping, providing data on all inter-continental voyages of VOC ships;
The database Generale Zeemonsterrollen, providing data on the crew composition and sometimes location of VOC ships stationed in Asia and not engaged in inter-continental shipping.

Contacts

Project leader: Prof. dr. Lex Heerma van Voss (VU University)  
CLARIN center: Huygens ING
Help contact : v.de.boer@vu.nl (coordinator)

Links

Web-sites: http://dutchshipsandsailors.nl/
User scenario's (screencasts, screenshots): n.a.
Manual: n.a.
Tool/Service link: http://dutchshipsandsailors.nl/?page_id=50
Publications:
- Victor de Boer, Jur Leinenga, Matthias van Rossum and Rik Hoekstra. Dutch Ships and Sailors Linked Data Cloud. Accepted for publication in Proceedings of the International Semantic Web Conference (ISWC 2014), 19-23 October, Riva del Garda, Italy, 2014.
- A. Bravo Balado. Information extraction on newspaper archives for historical research. a dutch maritime history case study. M.Sc. thesis VU University Amsterdam (forthcoming), 2014.
- Andrea Bravo Balado, Victor de Boer, and Guus Schreiber. Linking historical ship records to a newspaper archive. Proceedings of the 6th International Conference on Social Informatics (workshops). LNCS. ed. Luca Maria Aiello, Daniel McFarland, 2014.
- R. Ponstein. Reconciling dutch ships and sailors. M.Sc. thesis VU University Amsterdam (forthcoming), 2014.

Research domain

History

Language

Dutch

Resource tags

data

corpus

multi-media/muliti-modal

service

web-application

mono-lingual

Tool task

semantic registry & mapping

CLARIN centre

Huygens ING

Country

Netherlands

COBWWWEB

Erica Renckens — Mon, 19 Jan 2015 20:51:23 +0000

COBWWWEB: Connections Between Women and Writings Within European Borders

Summary

A scholar application for research on the WomenWriters Database and connected databases in women’s literature. The WomenWriters Database contains information on the production of women authors from the middle ages up to c. 1900, and on the reception of their works by contemporaries as well as early literary historians (both men and women). Are concerned: women active as authors in European countries and their (former) colonies. Thus the database allows the study of these women's writing in their international context, and the place to be attributed to them in transnational historiography.

Background

The WomenWriters database includes biographical data on more than 4.000 authors and over 22.000 references to reception data found in sources like the periodical press, early literary history and private correspondences. A significant part of the dataset was collected in the NWO digitizing project The International Reception of Women’s Writing (2004-2007), focusing on authors received in the Netherlands. A second NWO internationalising project called New approaches to European Women’s Writing (2007-2010) and the subsequent COST Action Women Writers in History (2009‐2013) brought together a large international community of scholars and used the Dutch data collection as an example for other colleagues.
COBWWWEB enables a connection between the various national projects on this subject into a growing international data network. A virtual research environment on top of this network makes all material from participating data providers accessible for European and interdisciplinary research.

Contacts

Project leader:  Dr. Suzan van Dijk (Huygens ING)
CLARIN center: Huygens ING
Help contact : suzan.van.dijk@huygens.knaw.nl (coordinator)

Links

Web-sites: http://www.womenwriters.nl/index.php/COBWWWEB
User scenario's (screencasts, screenshots): n.a.
Manual: n.a.
Tool/Service link: http://resources.huygens.knaw.nl/womenwriters
Publications:
- Suzan van Dijk, ”Vele schrijfsters in een klein land. Het belang van internationale samenwerking”, in Historica 2014 37/2, p. 17-23;
- Suzan van Dijk and Walter Ravenek, “Over vrouwen en het literaire veld”, in E-data & Research 2014 8/3, p. 6.

Research domain

Cultural Sciences

History

Art History

Literary Studies

Language

French

Dutch

English

German

Multiple languages

Resource tags

data

corpus

text corpus

service

web-application

Tool task

browse

CLARIN centre

Huygens ING

Country

Netherlands

PaQu

Erica Renckens — Thu, 15 Jan 2015 13:00:04 +0000

PaQu - Parse and Query

Summary

The PaQu web service makes it possible to search in syntactically annotated corpora in Dutch. You can parse your own Dutch text corpus or use one of two corpora provided by the developers.

Background

Please note: This is a preliminary version of this application. Use Lassy (http://dev.clarin.nl/node/1966) for searching the Lassy Treebanks.

PaQu uses the Alpino parser to make treebanks of your own text corpus, and to search in these treebanks using an interface based on the LASSY Word Relations Search interface (http://dev.clarin.nl/node/1966). Two treebanks are already available in the application: Lassy Klein (1M words, manually checked syntactic analysis) and Lassy Groot (700M words, syntactic analysis automatically assigned by Alpino).
PaQu offers two ways to search through the syntactically annotated texts. The first option is to use the search bar to look for word pairs, optionally complemented by their syntactic relationship. The second search option is to use the query language XPath.

Contacts

Project leader: prof.dr. Gertjan van Noord  
Developer: Drs. P. Kleiweg (Groningen University)
CLARIN center: none
Help contact : p.c.j.kleiweg@rug.nl

Links

Web-sites: n.a.
User scenario's (screencasts, screenshots): n.a.
Manual: http://www.let.rug.nl/alfa/paqu/info.html (http://zardoz.service.rug.nl:8067/info.html )
Tool/Service link: http://www.let.rug.nl/alfa/paqu (http://zardoz.service.rug.nl:8067/)
Publications: n.a.

Research domain

Computational Linguistics

Linguistics

Syntax

Language

Dutch

Resource tags

data

corpus

text corpus

service

text processing

mono-lingual

Tool task

annotation

corpus exploration

browse

text processing

grammatical relation assignment

parsing

Country

Netherlands

SHEBANQ

Erica Renckens — Mon, 12 Jan 2015 15:16:13 +0000

SHEBANQ: System for HEBrew Text: ANnotations for Queries and Markup

Summary

A web application that enables researchers to perform linguistic queries on the WIVU Hebrew Text Database and preserve significant results as annotations to this resource. This database contains the Hebrew text of the Old Testament enriched with many linguistic features at the morpheme level up to the discourse level.

Background

The WIVU (Werkgroep Informatica Vrije Universiteit) Hebrew Text Database contains the Biblia Hebraica Stuttgartensia (BHS) version of the text of the Hebrew Bible. Portions of other Semitic languages are included as well: the Aramaic sections of the Old Testament, two Syriac versions, and annotated portions of the Syriac and Aramaic translations. All these texts have been enriched with features that primarily result from linguistic analysis. The database can be queried by means of a language that is optimized to deal with data that is modeled as objects + features. SHEBANQ builds a bridge between the linguistically annotated Hebrew Text corpus and biblical scholars by (1) making this text, including its annotations, available to scholars; (2) demonstrating how queries can function to address research questions; the query saver and the metadata added to them will be a growing repository of valuable best practices of what queries are used in addressing research questions and how they contribute to answering these questions; (3) giving textual scholarship a more empirical basis, by creating the opportunity that claims made in scholarly articles (e.g.: “this syntactic pattern is not attested elsewhere in the Hebrew Bible”) can be accompanied by the unique identifiers that refer to the saved queries that have led to the claim. The WIVU database is a resource under long-term development. New features are being added, new corrections are being made over time.

Contacts

Project leader:  Prof. Dr. W.T. (Wido) van Peursen (VU University)
CLARIN center: Data Archiving and Networked Services (DANS)
Help contact : dirk.roorda@dans.knaw.nl

Links

Web-sites: http://shebanq.ancient-data.org/
User scenario's (screencasts, screenshots): n.a.
Manual: http://shebanq.ancient-data.org/help
Tool/Service link: http://shebanq.ancient-data.org/
Data link: https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:58245 (Persistent Identifier: urn:nbn:nl:ui:13-048i-71)
Publications:
- Roorda, D. (2015). The Hebrew Bible as Data: Laboratory - Sharing - Experiences http://arxiv.org/abs/1501.01866
- Roorda, D. (2014). LAF-Fabric: a data analysis tool for Linguistic Annotation Framework with an application to the Hebrew Bible, Computational Linguistics in the Netherlands Journal, Volume 4, December 2014, pp. 105-109 http://www.clinjournal.org/sites/default/files/08-Roorda-etal-CLIN2014.pdf and http://arxiv.org/abs/1410.0286