CTexTools 2
| Title | CTexTools 2 |
| Description | CTexTools is a corpus query and manipulation tool primarily for the official South African languages. The tool supports the creation of frequency and word lists, collocation searches and statistical analysis of corpus data. Furthermore, the tool provides automatic processing of corpus data on five levels: sentence separation, tokenisation, part of speech tagging, named entity recognition, and phrase chunking. \n\n Available in the Help file - Output classes for named entity recognition: \n B-/I-ORG Organisation, B-/I-PER Person, B-/I-LOC Location, B-/I-MISC Miscellaneous, OUT Outside |
| Contact name | Martin Puttkammer |
| Contact email | Martin.Puttkammer@nwu.ac.za |
| Publisher(s) | North-West University, Centre for Text Technology (CTexT); South African Department of Arts and Culture |
| License | Creative Commons Attribution-NoDerivatives 4.0 International: https://creativecommons.org/licenses/by-nd/4.0/ |
| Language(s) | Afrikaans; English; isiNdebele; isiXhosa; isiZulu; Sesotho sa Leboa (Sepedi); Setswana; Sesotho; Siswati; Tshivenda; Xitsonga |
| Author(s) | Eiselen, Roald; Puttkammer, Martin; Hocking, Justin; Kruger, Albertus |
| Subject | Text analysis tools; South African languages; Part of speech tagging; Named entity recognition; Corpus processing; Phrase chunking; Tokenisation; Sentence separation |
| URI | https://hdl.handle.net/20.500.12185/480 |
| Media type | Text |
| Type | Tools |
| Version | 2.1 |
| Format size | 258 Mb |
| Project | NCHLT Text III |
| Software requirements | Java Runtime Environment 8 |
| Primary collection | Resource Catalogue |
| Secondary collection | Resource Index |
| ISO639 code | afr; eng; nbl; xho; zul; sot; nso; tsn; ssw; ven; tso |
| Submit date | 2018-05-24T13:39:01Z |
| Date available | 2018-05-24T13:39:01Z |
| Date created | 2018-05-24 |
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This item appears in the following Collection(s)
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Resource Catalogue [350]
A collection of language resources available for download from the RMA of SADiLaR. The collection mostly consists of resources developed with funding from the Department of Arts and Culture. -
Resource Index [412]
A collection of language resource metadata mostly collected during the NHN funded technology audit of 2009, as well as the SADiLaR technology audit of 2018. Not all resources in this collection are available for download.