WaG - Word at a Glance
- Use existing corpus/data search and retrieval software as backend,
- Obtain and compile information about:
- single word,
- two or more words compared with each other,
- word translation.
- explore text metadata statistics, time-based trends, word cloud-based data and many more,
- combine statistics from different corpora,
- Use results of a resource as an input for other resource.
Currently supported resources
- KonText
- NoSketch Engine
- Treq
- Clarin FCS Core 1
- Datamuse API
- Leipzig Corpora Collection (REST API) (LCC)
| WaG | KonText | NoSkE | Treq | Clarin FCS | Datamuse | ElasticSearch | LCC | |
|---|---|---|---|---|---|---|---|---|
| collocations | ||||||||
| concFilter | ||||||||
| concordance | ||||||||
| freqBar | ||||||||
| freqComparison | ||||||||
| freqPie | ||||||||
| geoAreas | ||||||||
| multiWordGeoAreas | ||||||||
| html | ||||||||
| matchingDocuments | ||||||||
| mergeCorpFreq | ||||||||
| speeches | ||||||||
| timeDistrib | ||||||||
| multiWordtimeDistrib | ||||||||
| translations | ||||||||
| treqSubsets | ||||||||
| wordForms | ||||||||
| wordFreq | ||||||||
| wordSim |
Requirements
Wdglance 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 (SQLite3, CouchDB, KonText, KorpusDB)
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}
}