CLARIN-NL - analysis

Stylene

root — Mon, 08 Apr 2019 08:38:55 +0000

Title

Stylene, a robust, modular system for stylometry and readability research

Description

Stylene is a robust, modular system for stylometry and readability research on the basis of existing techniques for automatic text analysis and machine learning, and the development of a web service that allows researchers in the humanities and social sciences to analyze texts with this system. In this way, the project will make available to researchers recent advances in research on the computational modeling of style and readability. Background Stylene consists of an educational demonstration interface and tools for stylometry (authorship attribution and profiling) and readability research for Dutch. The Stylene system consists of a popularization interface for learning to understand stylometric analysis, and web-based interfaces to software for readability and stylometry research aimed at researchers from the humanities and social sciences who don’t want to develop or install such software themselves. Stylene has been created in the context of CLARIN Flanders.

Project

Stylene

CLARIN National Project

CLARIN-DLU

CLARIN centre

none yet

Country

Belgium

Tool Type

web application

Research Phase

Data analysis

Tool status

published

Output format

text/html

Input Language

Dutch

Access Contact

Walter Daelemans

Project Contact

Walter Daelemans

Creator Contact

Walter Daelemans

Documentation

Explanation of how Stylene works (provided after submitting a text for analysis)

Source code

not specified

Original source

http://portal.clarin.nl/node/4240

Publications

Daelemans, W, De Clercq, O and Hoste, V. 2017. Stylene: an Environment for Stylometry and Readability Research for Dutch. In: Odijk, J and van Hessen, A. (eds.) CLARIN in the Low Countries, Pp. 195–209. London: Ubiquity Press. DOI: https://doi.org/10.5334/bbi.16. License: CC-BY 4.0

Resource

LandingPage

Resource

CMDI File Link

License

unknown

Inventory Scope

local

SHEBANQ

root — Mon, 08 Apr 2019 08:38:55 +0000

Title

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

Description

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.

Project

SHEBANQ

CLARIN National Project

CLARIN-NL

CLARIN centre

DANS

Research domain

Linguistics

Religion Studies

Linguistic Subject

historical linguistics

Syntax

Morpho-syntax

Tool task

corpus exploration

corpus searching

browsing

analysis

visualisation

Country

Netherlands

Tool Type

web application

Research Phase

Browsing and Searching

Data analysis

Tool status

published

Output format

text/plain

Input Language

Hebrew

Aramaic

Access Contact

Dirk Roorda

Project Contact

/mailto:dirk.roorda@dans.knaw.nl/

Creator Contact

Prof. Dr. W.T. (Wido) van Peursen

Documentation

SHEBANQ - help

Source code

not specified

Original source

http://portal.clarin.nl/node/4180

Publications

Roorda, D. 2017. The Hebrew Bible as Data: Laboratory - Sharing - Experiences. In: Odijk, J and van Hessen, A. (eds.) CLARIN in the Low Countries, Pp. 217–229. London: Ubiquity Press. DOI: https://doi.org/10.5334/bbi.18. License: CC-BY 4.0

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/clinjournal.org/files/08-Roorda-etal-CLIN2014.pdf and http://arxiv.org/abs/1410.0286

Resource

SearchPage

Resource

CMDI File Link

License

Creative Commons (non-commercial)

Inventory Scope

local

ANNEX

root — Mon, 08 Apr 2019 08:38:48 +0000

Title

Web-based Annotation Explorer

Description

Annex (Annotation Explorer) is a web-based tool for exploring and viewing annotated multimedia recordings in an archive. ANNEX can play audio and video files in a web browser along with annotations in a variety of formats: ELAN (EAF), Shoebox/Toolbox text, CHAT (CHILDES annotation format), Plain text, CSV, PDF, SubRip, Praat TextGrid, HTML and XML. Annex will visualise the annotations in synchrony with the media files as long as time-alignment information is available. If no time-alignment information is available, a default segment duration is assumed. Annex has a graphical interface that resembles the interface of the ELAN annotation tool to some extent, with a number of different view modes such as subtitle view, timeline view and grid view. Annex runs in any modern web browser with the Adobe Flash plugin (> version 10) installed. ANNEX has been functionally extended with the help of the following CLARIN-NL-funded projects: - ColTime: Collaboration on Time-Based Resources. - EXILSEA: Exploiting ISOcat's Language Sections in ELAN and ANNEX. - MultiCon: Multilayer Concordance Functions in ELAN and ANNEX. - SignLinC: Linking lexical databases and annotated corpora of signed languages. Over the years, many funders have contributed to the development of ANNEX in several projects, such as the Volkswagen Foundation, the Royal Netherlands Academy of Arts and Sciences, the Berlin-Brandenburg Academy of Sciences and Humanities, the German Federal Ministry of Education and Research and the the Max Planck Society.

Project

The Language Archive

DOBES

ColTime

EXILSEA

MultiCon

SignLinC

CLARIN National Project

CLARIN-NL

CLARIN centre

MPI for Psycholinguistics

Research domain

Cultural Sciences

Oral History

Linguistics

Linguistic Subject

general linguistics

Sign language

language acquisition

psycholinguistics

anthropological linguistics

discourse analysis

Language Documentation

Morpho-syntax

text and corpus linguistics

Tool task

alignment

morphosyntactic tagging

part of speech tagging

phonetic annotation

analysis

speech transcription

Country

Netherlands

Tool Type

local desktop

Research Phase

Enriching Data

Tool status

retired

Input Language

Language independent

Version

1.6

Access Contact

/mailto:tla@mpi.nl/

Project Contact

O.A. Crasborn

/mailto:/

Creator Contact

/mailto:tla@mpi.nl/

Documentation

ANNEX Manual

ANNEX Online Manual

ANNEX Flyer

ANNEX A4 Guide

Source code

not specified

Original source

http://portal.clarin.nl/node/4188

http://portal.clarin.nl/node/4187

http://portal.clarin.nl/node/1941

http://portal.clarin.nl/node/4186

Resource

CMDI File Link

License

GNU GPL

Inventory Scope

local

MIMORE

root — Mon, 08 Apr 2019 08:38:48 +0000

Title

MIMORE: Microcomparative Morphosyntax Research Tool

Description

With the MIMORE search engine one can search three databases together, with text strings, part of speech tags and syntactic variables. The researcher can combine categories and features into complex tags or use predefined tags. All categories and features are defined in ISOcat. Since all sentences have a location code, the morphosyntactic phenomena found in a set of sentences resulting from a search can be automatically plotted on a geographic map. It is possible to include more than one morphosyntactic phenomenon in one map, thus visualizing potential correlations between these phenomena. There is also a user-friendly function to export the data to a statistical program. The data in DynaSAND, the dynamic syntactic atlas of the Dutch dialects (http://www.meertens.knaw.nl/sand/ (link is external)), were collected between 2000 and 2005 by oral interviews (fieldwork and telephone) in about 300 locations across The Netherlands, Belgium and a small part of north-west France. Dialect speakers were asked to judge and/or translate some 150 test sentences. DynaSAND makes available the full recordings and transcriptions of these interviews. Together, the DynSAND data cover the syntactic variation in the Dutch language area in the left periphery of the clause (the complementizer system and complementizer agreement), variation in subject pronoun form depending on syntactic position, subject pronoun doubling, cliticization on YES/NO, the reflexive system, fronting constructions (Wh-clauses, relative clauses, topicalization), word order and morphological variation in verb clusters, negation and quantification. The data in DiDDD (Diversity in Dutch DP Design; http://www.meertens.knaw.nl/diddd/ (link is external)) were collected between 2005 and 2009 with oral and written interviews in about 200 locations in the Dutch language area, with a methodology highly parallel to DynaSAND. The data involve translations of and judgements on test sentences. For 29 interviews there are sound recordings which have been lined up with their transcriptions. The DIDDD data cover the morphosyntactic variation within nominal groups, in particular possessives, partitives, noun ellipsis, the demonstrative system, the numeral modification system, what-for constructions, quantitative er, adjectival inflection, negation and exclamatives. The data in GTRP (Goeman, Taeldeman, van Reenen Project; http://www.meertens.knaw.nl/mand/database/ (link is external)) were collected between 1979 and 2000 with oral interviews in about 600 locations in the Dutch language area. Informants were asked to translate words or short sentences. Part of the transcriptions have been lined up with the sound recordings. The morphological data in GTRP include plural forms of nouns, diminutives, gender on nouns and adjectives, comparatives, superlatives, verbal inflection including participles, subject, object and possessive pronouns.

Project

MIMORE

CLARIN National Project

CLARIN-NL

CLARIAH-CORE

CLARIN centre

Meertens/HuC

Research domain

Linguistics

Linguistic Subject

Dialectology

Morphology

Syntax

Tool task

corpus searching

corpus browsing

analysis

visualisation

Country

Netherlands

Tool Type

web application

Research Phase

Browsing and Searching

Data analysis

Tool status

published

Output format

text/csv

Input Language

Dutch

Access Contact

/mailto:info@meertens.knaw.nl/

Project Contact

prof. dr. Sjef Barbiers

Creator Contact

prof. dr. Sjef Barbiers

Documentation

Demonstration of the Microcomparative Morphosyntactic Research Tool

Architectuur MIMORE

MIMORE Video

Source code

not specified

Original source

http://portal.clarin.nl/node/1911

Publications

S. Barbiers, M. van Koppen, H. Bennis, N. Corver, MIcrocomparative MOrphosyntactic REsearch (MIMORE): Mapping partial grammars of Flemish, Brabantish and Dutch. Lingua Vol. 178, 5-31. doi:10.1016/j.lingua.2015.10.018

Resource

SearchPage

SearchService

CMDI File Link

License

unknown

Inventory Scope

local

MIGMAP

root — Mon, 08 Apr 2019 08:38:48 +0000

Title

MIGMAP: Detailed interactive mapping of migration in The Netherlands in the 20th century.

Description

MIGMAP is a web application that can show migration flow between Dutch municipalities. The user first chooses generation (forward or backward in time) and gender, while subsequently the migration map of The Netherlands related to an interactively pointed municipality (or other aggregation unit) is shown. The data underlying the migration maps originate from the first name selection from the Civil Registration, acquired by Utrecht University and the Meertens Institute in 2006. These concern 16 million records from persons with Dutch citizenship, alive in 2006, and in addition 6 million persons deceased before 2006, but mentioned in other records – mainly as parents. The records include identifiers by which family relations can be reconstructed. After considerable efforts in data clearing and reconstruction of older generations, the data provide an almost complete overview of the Dutch population, born after 1930, and a fairly good sample from the period 1880-1930 (>25%). The user will be given options to choose generation (places of birth of the current population, their parents, grandparents grand-grandparents, or starting with the persons born between 1880-1900: the current places of residence of their children, grandchildren), and gender. Each map will be made available as a .csv record with municipality number and percentage as fields, and thus can be used by users in correlation studies with other variables. Utrecht University and the Meertens Institute have the signed permission of the "Basisadministratie voor Persoonsgegevens en Reisdocumenten, The Hague" to use the data for scientific purposes. The migration maps present the data in an aggregated way, and do not violate privacy requirements (no individual can possibly be identified from the maps). However, the underlying data containing information about individual persons and their family relations cannot be made available for reasons of privacy.

Project

MIGMAP

CLARIN National Project

CLARIN-NL

CLARIN centre

Meertens/HuC

Research domain

Linguistics

History

Linguistic Subject

Dialectology

Onomatology

Sociolinguistics

Tool task

searching

browsing

visualisation

analysis

Country

Netherlands

Tool Type

web application

Research Phase

Data analysis

Tool status

published

Output format

text/csv

Input Language

Dutch

Access Contact

/mailto:info@meertens.knaw.nl/

Project Contact

/mailto:info@meertens.knaw.nl/

Creator Contact

dr. ir. G. Bloothooft

Documentation

Background information - Instructions for use

Source code

not specified

Original source

http://portal.clarin.nl/node/1930

Publications

Bloothooft, G, Onland, D and Kunst, J.P. 2017. Mapping Migration across Generations. In: Odijk, J and van Hessen, A. (eds.) CLARIN in the Low Countries, Pp. 351–360. London: Ubiquity Press. DOI: https://doi.org/10.5334/bbi.29. License: CC-BY 4.0

Ekamper, P. en Bloothooft, G. (2013), "Weg van je wortels. De afstand tussen overgrootouders en achterkleinkinderen", DEMOS 29, 2, p8.

Resource

CMDI File Link

License

Creative Commons (non-commercial)

Inventory Scope

local

LASSY Word Relations Search

root — Mon, 08 Apr 2019 08:38:48 +0000

Title

LASSY Word Relations Search Web Application

Description

The LASSY word relations web application makes it possible to search for sentences that contain pairs of words between which there is a grammatical relation. One can search in the Dutch LASSY-SMALL Treebank (1 million tokens), in which the syntactic parse of each sentence has been manually verified, and in (a part of) the LASSY-LARGE Treebank (700 million tokens ),in which the syntactic parse of each sentence has been added by the automatic parser Alpino. One can restrict the query to search for words of a particular Part-of-Speech, which is very useful in the case of syntactic ambiguities. One can also leave out the string of the word, so that one can obtain e.g. a list of sentences in which any adverb modifies a given verb, or even any word modifies a given verb. On the page that lists the found sentences one can view the exact syntactic structure of each sentence by a simple click. The application also provides detailed frequency information of all found sentences and word pairs. The Lassy treebanks have been made by the KU Leuven and the Rijksuniversiteit Groningen through financing of the Dutch Language Union. One can obtain these treebanks through the HLT Agency (TST-Centrale). Use PaQu (http://dev.clarin.nl/node/4182) for many more options and if you want to search for word pairs in your own text corpus.

Project

LASSY Word Relations Search

CLARIN National Project

CLARIN-NL

CLARIN centre

none yet

Research domain

Linguistics

Linguistic Subject

general linguistics

Syntax

Tool task

analysis

corpus browsing

corpus searching

Country

Netherlands

Tool Type

web application

Research Phase

Browsing and Searching

Tool status

superseded

Input Language

Dutch

Access Contact

/mailto:servicedesk@ivdnt.org/

Institute for the Dutch Language

Project Contact

/mailto:helpdesk@clarin.nl/

Creator Contact

Gertjan van Noord

Documentation

Woordrelaties in Lassy

Source code

not specified

Original source

http://portal.clarin.nl/node/1966

Resource

CMDI File Link

License

GNU GPL

Inventory Scope

local

GrETEL 4.0

root — Mon, 08 Apr 2019 08:38:48 +0000

Title

GrETEL Search Engine for Querying Syntactic Constructions in Treebanks

Description

GrETEL Version 4 extends the functionality of GrETEL in a number of ways: (1) it allows uploading one's own corpus, either a parsed corpus in LASSY DTD format, or a text corpus in a variety of formats (currently supported: plain text, CHAT; FoLiA and TEI to follow). An uploaded unparsed corpus will be automatically parsed by Alpino and made available in the search interface. (2) It also enables upload of metadata that are contained in the data, e.g. in accordance with the PaQu metadata format (3) Checking of XPath expressions and suggestions for selecting valid attributes and values have been added, as have the use of macros (a la PaQu) (4) filtering on the basis of metadata has been made possible (5) full analysis of the metadta in combination with nodes and their properties from the syntactic structures is available, allowing a user to select, group, sort, and filter data and metadata in combination, through a pivot table with draggable attributes and node properties. Sums , counts, heatmaps and other graphical visualisation enable rapid analysis of the data. GrETEL 4 is being developed by Utrecht University (UiL-OTS and Digital Humanities Lab) in the context of the AnnCor and CLARIAH-CORE projects. It based on GrETEL 3 developed by KU Leuven. GrETEL is a query engine in which linguists can use a natural language example as a starting point for searching a treebank with limited knowledge about tree representations and formal query languages. Instead of a formal search instruction, it takes a natural language example as input. This provides a convenient way for novice and non-technical users to use treebanks with a limited knowledge of the underlying syntax and formal query languages. By allowing linguists to search for constructions similar to the example they provide, it aims to bridge the gap between descriptive-theoretical and computational linguistics. The example-based query procedure consists of six steps. In the first step the user enters an example of the construction he/she is interested in. In the second step the example sentence is automatically parsed with the Alpino parser, resulting in a parse tree. In the third step the example is returned in the form of a matrix, in which the user specifies which aspects of this example are essential for the construction under investigation. Based on the information indicated in the matrix, a query tree is cut out of the initial parse tree and automatically converted to an XPath query. By clicking the advanced options button, the XPath query is made visible, and can be edited if desired. This query will be used for the actual treebank search. In the fourth step the user can select which treebank needs to be queried. The fifth step provides an overview of the search instruction, i.e. the input sentence, the selected treebank(s), the query tree and the (adapted) XPath query. In the sixth step the query is executed on the selected corpus. The matching constructions are presented to the user as a list of sentences, which can be downloaded. The user can also click on the sentences in order to visualize the results as syntax trees. In addition to the example-based search functionality, users can also query the treebanks using an XPath expression. This query is then processed in the same way as the automatically generated query in the example-based approach.

Project

AnnCor

CLARIAH-CORE

CLARIN National Project

CLARIAH-CORE

CLARIN centre

none yet

Research domain

Linguistics

Linguistic Subject

Syntax

Morpho-syntax

Computational Linguistics

Tool task

corpus searching

corpus exploration

querying

corpus processing

parsing

dependency parsing

grammatical relation assignment

analysis

Country

Netherlands

Tool Type

web application

Research Phase

Browsing and Searching

Data analysis

Enriching Data

Tool status

alpha

Input format

text/xml

text/plain

Output format

text/xml

Input Language

Dutch

Version

4.0

Access Contact

Jan Odijk

Project Contact

Jan Odijk

Creator Contact

Jan Odijk

Martijn van der Klis

Sheean Spoel

Gerson Foks

Documentation

GrETEL manual and documentation

Source code

https://github.com/UUDigitalHumanitieslab/gretel

https://github.com/UUDigitalHumanitieslab/GrETEL-upload

Original source

http://portal.clarin.nl/node/1967

Publications

Augustinus, L, Vandeghinste, V, Schuurman, I and Van Eynde, F. 2017. GrETEL: A Tool for Example-Based Treebank Mining. In: Odijk, J and van Hessen, A. (eds.) CLARIN in the Low Countries, Pp. 269–280. London: Ubiquity Press. DOI: https://doi.org/10.5334/bbi.22. License: CC-BY 4.0

Jan Odijk, Martijn van der Klis and Sheean Spoel. 2018. Extensions to the GrETEL Treebank Query Application, in Proceedings of TLT16, 23-24 Jan 2018, Prague, Czech Republic

Resource

CMDI File Link

License

CC-BY-NC-SA

Inventory Scope

local

Gabmap

root — Mon, 08 Apr 2019 08:38:48 +0000

Title

Description

Gabmap is a free web-based application for dialectometry. It measures the differences in sets of phonetic (or phonemic) transcriptions via edit distance. Gabmap has a graphical user interface that makes string comparison facility available as a web application. This enables wider experimentation with the techniques. Gabmap (a.k.a. ADEPT) measures pronunciation distances based on transcriptions and aligns pronunciation transcription data. Because the measurements are numeric, they can be aggregated in order to obtain an estimation of overall pronunciation differences among varieties. The software uses a range of edit distance (or Levenshtein) algorithms. It is useful for dialectologists, and has been used extensively in dialectology. It has occasionally been used for other purposes, e.g. trying to identify loan words automatically (Paris, Musée de l’Homme, central Asian project involving Turkic and also Indo-Iranian languages). The software has also been used as the basis of a program to multi-align pronunciation data for the purpose of phylogenetic analysis. The Gabmap developers claim that the program could also be used to measure deviant pronunciation e.g. of second-language learners, or of speakers with speech defects. A variety of related algorithms are implemented in the package of C programs (and R programs) the developers turned into a web application, including a basic version regarding segments only as same or different, and other versions variously respecting consonant/vowel distinctions; using phonetic segment distances as provided via an assignment of phonetic or phonological features to segments; using segment distances as learned from refining alignment correspondences; and applying weightings derived from (inverse) frequency (derived from Goebl’s work) or depending on the position within a word. There are useful auxiliary programs aimed at assisting users in converting phonetic data to X-SAMPA and at spotting errors. (In working with users in the past, the developers have noted that data conversion is a major hurdle.) There are additional meta-analytical calculations aimed at gauging how reliable the signal is from a given set of data, and aimed at comparing various options with respect to the degree to which they capture the geographic cohesion one assumes in dialectology. Gabmap was developed in the CLARIN-NL project ADEPT: Assaying Differences via Edit-Distance of Pronunciation Transcriptions.

Project

ADEPT

CLARIN National Project

CLARIN-NL

CLARIN centre

Meertens/HuC

Research domain

Linguistics

Linguistic Subject

Dialectology

Phonetics

Phonology

Tool task

visualisation

analysis

Country

Netherlands

Tool Type

web application

Research Phase

Data analysis

Tool status

published

Output format

application/pdf

Input Language

Language independent

Access Contact

/mailto:info@gabmap.nl/

Meertens Institute

Project Contact

Dr. Charlotte Gooskens

Creator Contact

Peter Kleiweg

Documentation

Gabmap Tutorial

Demonstrator Scenario

Gabmap: Quick Start

Source code

not specified

Original source

http://portal.clarin.nl/node/1917

Publications

Nerbonne, J., Colen, R., Gooskens, C., Kleiweg, P., and Leinonen, T. (2011). Gabmap — A Web Application for Dialectology. Dialectologica, Special issue II, 65-89.

T. Leinonen, Ç. Çöltekin, J. Nerbonne, Using Gabmap. Lingua Vol. 178, 71-83, doi:10.1016/j.lingua.2015.02.004

Resource

CMDI File Link

License

unknown

Inventory Scope

local

ELAN

root — Mon, 08 Apr 2019 08:38:48 +0000

Title

ELAN Multimedia Annotator

Description

ELAN is a professional tool for the creation of complex annotations on video and audio resources. With ELAN a user can add an unlimited number of annotations to audio and/or video streams. An annotation can be a sentence, word or gloss, a comment, translation or a description of any feature observed in the media. Annotations can be created on multiple layers, called tiers. Tiers can be hierarchically interconnected. An annotation can either be time-aligned to the media or it can refer to other existing annotations. The textual content of annotations is always in Unicode and the transcription is stored in an XML format. ELAN provides several different views on the annotations, each view is connected and synchronized to the media playhead. Up to 4 video files can be associated with an annotation document. Each video can be integrated in the main document window or displayed in its own resizable window. ELAN delegates media playback to an existing media framework, like Windows Media Player, QuickTime or JMF (Java Media Framework). As a result a wide variety of audio and video formats is supported and high performance media playback can be achieved. ELAN is written in the Java programming language and the sources are available for non-commercial use. It runs on Windows, Mac OS X and Linux. ELAN has been functionally extended with the help of the following CLARIN-NL-funded projects: - ColTime: Collaboration on Time-Based Resources. - EXILSEA: Exploiting ISOcat's Language Sections in ELAN and ANNEX. - MultiCon: Multilayer Concordance Functions in ELAN and ANNEX. - SignLinC: Linking lexical databases and annotated corpora of signed languages. Over the years, many funders have contributed to the development of ELAN in several projects, such as the Volkswagen Foundation, the Royal Netherlands Academy of Arts and Sciences, the Berlin-Brandenburg Academy of Sciences and Humanities, the German Federal Ministry of Education and Research, the Max Planck Society and the ARC Centre of Excellence for the Dynamics of Language.

Project

The Language Archive

DOBES

ColTime

EXILSEA

MultiCon

SignLinC

COEDL

CLARIN National Project

CLARIN-NL

CLARIN centre

MPI for Psycholinguistics

Research domain

Linguistics

Cultural Sciences

Oral History

Linguistic Subject

general linguistics

Sign language

language acquisition

psycholinguistics

anthropological linguistics

discourse analysis

Language Documentation

Morpho-syntax

text and corpus linguistics

Tool task

speech transcription

phonetic annotation

morphosyntactic tagging

part of speech tagging

alignment

analysis

audio-visual processing

Country

Netherlands

Tool Type

local desktop

Research Phase

Enriching Data

Tool status

released

Input Language

Language independent

Access Contact

/mailto:tla@mpi.nl/

Project Contact

O.A. Crasborn

/mailto:/

/mailto:coedl@anu.edu.au/

Creator Contact

/mailto:tla@mpi.nl/

Documentation

ELAN - user Guide

ELAN - Online User Guide

ELAN - Linguistic Annotator Manual

ELAN - Linguistic Annotator Online Manual

ELAN - Media Encoding Guideliens

Source code

not specified

Original source

http://portal.clarin.nl/node/4188

http://portal.clarin.nl/node/4187

http://portal.clarin.nl/node/1941

http://portal.clarin.nl/node/4186

Resource

CMDI File Link

License

GNU GPL

Inventory Scope

local

COAVA

root — Mon, 08 Apr 2019 08:38:48 +0000

Title

COAVA: Cognition, Acquisition and Variation Tool

Description

In COAVA two sets of databases are made available in a standardized way: one with historical dialect data (the databases WBD and WLD with lexical data of the Brabantish and Limburgian dialect between 1880-1980) and one with first language acquisition data (four databases form the CHILDES project). The databases contain linguistic information (dialect form, standardised form (“Dutchified”), lexical meaning), geographical information (locality, dialect area, province) and information on the source (inquiry forms or monotopic dictionaries and the date of documentation). The visualisation of the first two sets of information will lead to lexical maps. The most typical way for the user to get to the data will be with the use of the browsable concept taxonomy. The databases are, in other words, approachable via search tools but also via a thematic taxonomy. This taxonomy was developed for the dialect databases and covers the general vocabulary. COAVA (COgnition, Acquisition and VAriation Tool) brings together two strange bedfellows: first language acquisition and historical dialectology. In historical linguistics there is the common assumption that language change in the past is due to the process of non-target like transmission of linguistic features between generations i.e. between parents and children. Despite this assumption, both disciplines remain isolated from each other due to, among others, different methods of data-collection and different types of resources with empirical data. The aim of the COAVA project was to demonstrate that the common assumption in historical linguistics, mentioned above, can be examined in detail with the help of Digital Humanities. This interdisciplinary research targets at the development of a tool for easily exploring the linguistic characteristics of concepts. In COAVA two sets of databases are made available in a standardized way: one with historical dialect data (the databases WBD and WLD with lexical data of the Brabantish and Limburgian dialect between 1880-1980) and one with first language acquisition data (four databases form the CHILDES project).

Project

COAVA

CLARIN National Project

CLARIN-NL

CLARIN centre

Meertens/HuC

Research domain

Linguistics

Linguistic Subject

Dialectology

Lexicology

historical linguistics

language acquisition

Tool task

corpus searching

browsing

analysis

visualisation

other

Country

Netherlands

Tool Type

web application

Research Phase

Browsing and Searching

Data analysis

Tool status

published

Input Language

Dutch

Access Contact

Dr. L. Cornips

Project Contact

/mailto:leonie.cornips@meertens.knaw.nl/

Creator Contact

Dr. L. Cornips

Documentation

Gebruikershandleiding bij de COAVA web applicatie

Source code

not specified

Original source

http://portal.clarin.nl/node/1928

Publications

Leonie Cornips, Jos Swanenberg, Wilbert Heeringa, Folkert de Vriend (2016). The relationship between first language acquisition and dialect variation: Linking resources from distinct disciplines in a CLARIN-NL project. Lingua, Vol. 178, 07.2016, p. 32-45. doi:10.1016/j.lingua.2015.11.007

Cornips, L., Swanenberg, J., Vriend, F. de, Heeringa, W. (2012), Is what we have acquired early, less vulnerable to variation? A comparison between data from dialectlexicography and data from first language acquisition. http://www.meertens.knaw.nl/coavasite/wp-content/uploads/2012/10/Abstract-SIDG-2-JS.pdf

Cornips, L., Kemps-Snijders, M., Snijders, M., Swanenberg, J. and Vriend, F. de (2011). Bridging the Gap between First Language Acquisition and Historical Dialectology with the Help of Digital Humanities. SDH Copenhagen. http://www.meertens.knaw.nl/coavasite/wp-content/uploads/2011/11/Paper-SDH.pdf

Resource

LandingPage

CMDI File Link

License

unknown

Inventory Scope

local