Evidence map›Paper›PMID 29568819›Full record

ArticleLREC ... International Conference on Language Resources & Evaluation : [proceedings]. International Conference on Language Resources & Evaluation2014

Sublanguage Corpus Analysis Toolkit: A tool for assessing the representativeness and sublanguage characteristics of corpora.

Irina P Temnikova, William A Baumgartner, Negacy D Hailu, Ivelina Nikolova, Tony McEnery, Adam Kilgarriff, Galia Angelova, K Bretonnel Cohen

Abstract read
PubMed Full text at PMC
In one paragraph

Article in LREC ... International Conference on Language Resources & Evaluation : [proceedings]. International Conference on Language Resources & Evaluation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. SuperCAT: The (New and Improved) Corpus Analysis Toolkit.LREC ... International Conference on Language Resources & Evaluation : [proceedings]. International Conference on Language Resources & Evaluation · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Irina P TemnikovaQatar Computing Research Institute, Doha, Qatar.
William A BaumgartnerComputational Bioscience Program, Univ. of Colorado School of Medicine, USA.
Negacy D HailuComputational Bioscience Program, Univ. of Colorado School of Medicine, USA.
Ivelina NikolovaIICT, Bulgarian Academy of Sciences, Sofia, Bulgaria.
Tony McEneryDepartment of Linguistics and English Language, Lancaster University, Lancaster, UK.
Adam KilgarriffLexical Computing Ltd., Brighton, UK.
Galia AngelovaIICT, Bulgarian Academy of Sciences, Sofia, Bulgaria.
K Bretonnel CohenComputational Bioscience Program, Univ. of Colorado School of Medicine, USA.

Funding

Technology Development for a MolBio Knowledge-BaseR01LM008111 · NLM · UNIVERSITY OF COLORADO DENVER · PI HUNTER, LAWRENCE E · 2004 to 2021
$9.7M
Bio Text NLPR01LM009254 · NLM · UNIVERSITY OF COLORADO DENVER · PI HUNTER, LAWRENCE E · 2006 to 2018
$5.9M
NLM NIH HHS R01 LM008111NLM NIH HHS R01 LM009254
6 · The paper itself

Abstract

Sublanguages are varieties of language that form "subsets" of the general language, typically exhibiting particular types of lexical, semantic, and other restrictions and deviance. SubCAT, the Sublanguage Corpus Analysis Toolkit, assesses the representativeness and closure properties of corpora to analyze the extent to which they are either sublanguages, or representative samples of the general language. The current version of SubCAT contains scripts and applications for assessing lexical closure, morphological closure, sentence type closure, over-represented words, and syntactic deviance. Its operation is illustrated with three case studies concerning scientific journal articles, patents, and clinical records. Materials from two language families are analyzed-English (Germanic), and Bulgarian (Slavic). The software is available at sublanguage.sourceforge.net under a liberal Open Source license.

Indexed as

corpus linguisticssublanguage characterisationsublanguage recognition

Identifiers

PMID29568819
PMCPMC5860848

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.