-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.html
89 lines (86 loc) · 3.51 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>snelSLiM - Interface for quick Stable Lexical Marker Analysis</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" href="lumen/theme/bootstrap.css" media="screen">
<link rel="stylesheet" href="lumen/theme/usebootstrap.css">
<!-- HTML5 shim and Respond.js IE8 support of HTML5 elements and media queries -->
<!--[if lt IE 9]>
<script src="bootstrap/html5shiv.js"></script>
<script src="bootstrap/respond.min.js"></script>
<![endif]-->
</head>
<body>
<div class="navbar navbar-default navbar-fixed-top">
<div class="container">
<div class="navbar-header">
<a href="/" class="navbar-brand">snelSLiM</a>
</div>
<div class="navbar-collapse collapse" id="navbar-main">
<ul class="nav navbar-nav">
<li><a href="/cl2021">CL2021</a></li>
</ul>
</div>
</div>
</div>
<div class="container">
<div class="page-header" id="banner">
<div class="row">
<div class="col-md-12">
<h1>SnelSLiM - a corpus linguistic tool for better keyword analysis</h1>
<p class="lead">SnelSLiM is a web tool for corpus linguistics solely aimed at keyword analysis using Stable Lexical Marker Analysis.</p>
</div>
</div>
</div>
<div class="row">
<div class="col-md-12">
<h1 class="text-primary">This website is still partially under development. Please standby for more content!</h1>
</div>
</div>
<div class="row">
<div class="col-md-12">
<h2>References for snelSLiM</h2>
<p>Bert Van de Poel and Dirk Speelman.
SnelSLiM, a user-friendly and fast tool to perform better keyword
analysis through Stable Lexical Marker Analysis.
<em>Computational Linguistics in the Netherlands Journal</em>,
10:147--160, December 2020.
[ <a href="/ref/snelSLiM_VandePoel_Speelman_2020_bib.html">bib</a> |
<a href="https://clinjournal.org/clinj/article/view/111">http</a> ]</p>
<p>Bert Van de Poel.
snelSLiM [software], 2021.
Available at: http://snelslim.org.
[ <a href="/ref/snelSLiM_software_VandePoel_bib.html">bib</a> ]</p>
</div>
</div>
<div class="row">
<div class="col-md-12">
<h2>References for Stable Lexical Marker Analysis</h2>
<p>Dirk Speelman, Stefan Grondelaers, and Dirk Geeraerts.
Variation in the choice of adjectives in the two main national
varieties of dutch.
In Gitte Kristiansen and René Dirven, editors, <em>Cognitive
Sociolinguistics: Language Variation, Cultural Models, Social Systems</em>,
volume 39, pages 205--233. Walter de Gruyter, 2008.
[ <a href="/ref/slma_bib.html#slm1">bib</a> ]</p>
<p>Dirk De Hertog, Kris Heylen, and Dirk Speelman.
The prevalence of multiword term candidates in a legal corpus.
In <em>Proceedings of the 10th Terminology and Knowledge Engineering
Conference (TKE2012): New frontiers in the constructive symbiosis of
terminology and knowledge engineering</em>, pages 283--290. Universidad
Politecnica de Madrid, 2012.
[ <a href="/ref/slma_bib.html#slm2">bib</a> ]</p>
<p>Dirk De Hertog, Kris Heylen, and Dirk Speelman.
Stable lexical marker analysis: a corpus-based identification of
lexical variation.
In Augusto Soares Da Silva, editor, <em>Pluricentricity: Language
variation and sociocognitive dimensions</em>, volume 24, pages 127--141. Walter
de Gruyter, 2014.
[ <a href="/ref/slma_bib.html#slm3">bib</a> ]</p>
</div>
</div>
</div>
</body>
</html>