SweLLex

SweLLex is a lexicon of productive vocabulary for Swedish as a second/foreign language (SVA). Like its sister resource, SVALex, it reports the normalized frequencies of words (lemmas) across six levels of the CEFR (Common European Framework of Reference for Languages). In the same fashion as SVALex, it contains information on both single word usage, multi-word expressions, as well as information on their usage at different levels, something that is rarely present in the resources of this kind.

The frequencies have been estimated on a corpus of essays written by SVA learners, SweLL corpus, described in the article:

More details on SweLLex resource are provided in the following article:

If you are using SweLLex, please, cite this article.

Features

create	Productive lexicon includes word frequencies observed in learner essays
bar_chart	CEFR levels A1 · A2 · B1 · B2 · C1 · C2
toc	Lexical entries lemma (word) part of speech (tag)
calculate	Computed metrics level_freq · normalized frequency (per 1 million words) for each level of the CEFR total_freq · total normalized frequency in the source corpus nb_doc · document frequency

Format

The format is a .CSV (tab separated values) file with 8 columns (see above), encoded in UTF-8. You can also open it in an excel sheet.

Example of some entries from SVALex

Lemma	POS-tag	A1	A2	B1	B2	C1	Total
bil	NN_UTR	430.2138	1234.2078	728.9847	422.283	363.5446	618.8567
överge	VB	0	0	7.3203	24.5182	39.6516	17.2695
rättvisa	NN_UTR	0	0	3.6601	25.6189	26.4344	13.6602
kilo	NN_NEU	0	302.0833	145.1229	65.0611	13.2172	89.8907
resa	VB	166.3009	375.2582	450.3526	298.4905	330.4297	356.362
låg	JJ	0	49.315	125.922	217.3103	252.1311	156.126
så klart	ABM_MWE	0	16.2635	81.6019	45.5033	13.2172	38.1738
till skillnad från	PPM_MWE	0	0	5.3395	2.409	3.6699	5.1839

Usage

search Search

The resource can be used to compare the frequency distribution of multiple words along the CEFR scale. An online query interface is available and can be accessed via the Search tab.

bar_chart Analyse

The resource can also be used to analyze the complexity of words in a text, in particular to identify which of the words in a text will be difficult at a given level. An online complexity analyzer is available and can be accessed via the Analyze tab.

Authors

SVALex is the result of a collaboration between two teams:

• The Center for Natural Language Processing (CENTAL) at UCLouvain;
• The Språkbanken research unit of the University of Gothenburg.

Contributors