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WaG - install your own word profile generator out of diverse data resources

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WaG - Word at a Glance

WaG screenshot

  1. Use existing corpus/data search and retrieval software as backend,
  2. Obtain and compile information about:
    1. single word,
    2. two or more words compared with each other,
    3. word translation.
  3. explore text metadata statistics, time-based trends, word cloud-based data and many more,
  4. combine statistics from different corpora,
  5. Use results of a resource as an input for other resource.

Currently supported resources

WaG KonText MQuery NoSkE Treq Clarin FCS Datamuse ElasticSearch LCC
collocations 🚧
concFilter
concordance
freqBar
freqComparison
freqPie
geoAreas
multiWordGeoAreas
html
matchingDocuments
mergeCorpFreq
speeches
syntacticColls
timeDistrib
multiWordtimeDistrib
translations
treqSubsets
wordForms 🚧
wordFreq 🚧
wordSim 🚧

Requirements

WaG is able to run either as a self-hosted application or within a compatible web page. For the self-hosted variant the following is needed:

  • Node.JS + NPM package manager
  • HTTP proxy server (Nginx, HAProxy, Apache)
  • a core word frequency database:

Please refer for more information to the INSTALL.md.

How to cite WaG

Tomáš Machálek (2020): Word at a Glance: Modular Word Profile Aggregator. In: Proceedings of LREC 2020, s. 7011–7016.

@InProceedings{machalek2020lrec,
 author = {Tomáš Machálek},
 title = "{Word at a Glance: Modular Word Profile Aggregator.}",
 booktitle = {Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC 2020)},
 year = {2020},
 publisher = {European Language Resources Association (ELRA)},
 language = {english}
}