This page lists the questions we received.
How can I get access to CLARIN tools and resources, without an academic account?
It is possible to ask for an account at the CLARIN Account Registration page.
Do you have any domain specific corpora?
On the main page you find a listing of different types of corpora we have. Domain specific corpora are the Parliamentary corpora and the Corpora of academic texts. Under the Parallel corpora there are also domain specific corpora.
Are there literary texts available?
From the Public Domain Page you can find a link to the downloadable public domain files in DBNL.
Is there a speech recognition engine available for Belgian Dutch?
Currently, the release of a Belgian Dutch speech recognizer that can be freely used for research is in preparation.
Which corpora are available for Automatic Simplification for Dutch?
There are currently no parallel corpora available in which regular Dutch has been simplified, so this makes it impossible to straightforwardly treat this as a machine translation problem.
If you would consider to develop a form of unsupervised simplification, there are, however, a number of corpora available which can be considered to be in a form of easy Dutch. These corpora are the Wablieft-corpus (Easy Belgian Dutch), the Basilex-corpus (Texts for children in Dutch primary schools), and WAI-NOT (Very easy Belgian Dutch).
Are there any corpora that contain dialogues between two or more people?
There are a number of dialog components in CGN (Spoken Dutch Corpus).
- a. Spontane conversaties ('face-to-face')
- c. Telefoondialogen opgenomen m.b.v. platform
- d. Telefoondialogen opgenomen m.b.v. minidiskrecorder
- e. Zakelijke onderhandelingen
- Download: https://taalmaterialen.ivdnt.org/download/tstc-corpus-gesproken-nederlands/
- Online search: https://portal.clarin.inl.nl/opensonar_frontend/opensonar/search
There is also the IFA Dialog Video corpus.
"A collection of annotated video recordings of friendly Face-to-Face dialogs. It is modelled on the Face-to-Face dialogs in the Spoken Dutch Corpus (CGN). The procedures and design of the corpus were adapted to make this corpus useful for other researchers of Dutch speech. For this corpus 20 dialog conversations of 15 minutes were recorded and annotated, in total 5 hours of speech."
- Download: https://taalmaterialen.ivdnt.org/download/tstc-ifa-dialoog-videocorpus/
- Online data: https://www.fon.hum.uva.nl/IFA-SpokenLanguageCorpora/IFADVcorpus/
Advice for finding financial support for compiling a medical comparable corpus English-Dutch
We are looking into whether this is fundable by CLARIN Resource Families Project Funding. The site indicates that it is best to first submit the idea informally to the CLARIN office, so they can advise us ("In view of the flexible nature of this call, applicants are encouraged to send in a project idea beforehand, in order to allow CLARIN Office to give additional guidelines and assess the eligibility of plans.")
We would need to be clear though as to whether this is a parallel corpus, which is one of the categories in the Resource Families, or whether it is a comparable corpus, which is not one of the categories. We might ask the CLARIN office whether they think it would be useful to add such a category.
We would have to identify a number of potential data sources, and make sure we can make the collected data publicly available for research, without GDPR or IP issues.
We should be aware of the EMEA corpus in OPUS
Is it possible to automate finding of word conversions for specific corpora?
Do you think it is possible to draw up a list of conversion pairs of Dutch, i.e. words that can be used in more than 1 part of speech, on the basis of corpora (or possibly treebanks)? I am particularly concerned with the parts of speech nomen, adjective, and verb. So, for example, the search algorithm should be able to identify the bold words in the following examples as conversion pairs:
- ik douche / ik neem een douche
- wij geloven in iets / zijn geloof in iets
- de crimineel zweert zijn criminele gedrag af
- wij onderhielden contacten / het onderhoud van het huis
- wij droogden het droge laken
- we trommelden op de trommel
Answer: The e-Lex lexicon allows you to search word forms with multiple POS tags, as you ask. This lexicon is based on CGN. But your question goes a little further, I think. The verb geloven has the lemma "geloven", and the conversion to noun has the lemma geloof. So we should see whether the noun's lemma also occurs as a verb form, idem ditto for adjectives. A perl script was written that extracts the requested sets from the lexicon file -- results were sent to the requester.
I am looking for spoken and written corpora for a contrastive study German/Dutch in which I can find actual word forms
We refer you to OpenSonar which is the only search engine for both the Spoken Dutch Corpus (CGN) and the SoNaR reference corpus and is available with CLARIN login. An alternative can be the [ http://chn.ivdnt.org/ Corpus Hedendaags Nederlands (CHN) website] which is the online search engine for the Corpus of Contemporary Dutch (CHN). If you need more recent data, at INT we have a monitor corpus with weekly newspaper dumps at our disposal in which we can launch searches for you -- unfortunately we cannot make this monitor corpus available due to IP restrictions.
I want to find all Dutch lemmas in which there is double derivation, can you help me?
The eLex lexicon contains as its third data field the morphology of lemmas. We extracted all rows in the data in which the sign for derivation (|) occurs twice in a row and provided our user with a detailed list of entries and how often they occur in the e-Lex.
(ing)[N|V.](s)[N|N.N] 9344 (heid)[N|A.](s)[N|N.N] 1470 (er)[N|V.](s)[N|N.N] 1230 (ig)[A|N.](heid)[N|A.] 937 (atie)[N|V.](ief)[A|N.] 769 (iseer)[V|N.](atie)[N|V.] 603 ...
Can I get a distribution of the suffixes on Dutch adjectives?
The eLex lexicon contains as its third data field the morphology of lemmas. We counted, per lemmaid that is an adjective the frequency of the last suffix. For no morphology, we assigned category '0'.
0 11781 (ig) 1781 (achtig) 507 (baar) 473 (isch) 431 (elijk) 392 (end) 367 (en) 292 (s) 278 (lijk) 237 (erig) 229 (ief) 168 (aal) 155 (loos) 138 (d) 116 ...
There is a permanent link for the CGN wave file download page: http://hdl.handle.net/10032/tm-a2-k6
Which treebanks are available for Dutch?
We have added the Treebanks page to this wiki to answer this question.
Is there a corpus with imperative sentences?
There is no such explicit corpus available. If we provide GrETEL with an imperative example we can extract similar sentences, which should be usable as an imperative corpus.
Take a look at 
How can I calculate the readability of Dutch text
There is a tool called T-scan that may be helpful there.
How can I calculate Flesch-Douma for Dutch
The formula for Flesch-Douma requires two things to be counted: number of words in a sentence and number of syllables per word. While the numbe r of words in a sentence is easily counted with any scripting language, the nr of syllables may seem more difficult. The [ http://hdl.handle.net/10032/tm-a2-h2 e-Lex] lexicon contains hyphenation patterns and hence the number of syllables per word. An alternative is to count the number of vowel clusters in each word using regular expressions, which should also give you the number of syllables.
I am looking for a parallel corpus of Dutch-Turkish texts.
We are comparing the Dutch and Turkish translations of the Linguistic Inquiry and Word Count [LIWC] dictionaries. Do you know of any corpora that would be suitable? I found several candidates on OPUS (https://opus.nlpl.eu/), and downloaded the TED2020 talks. However these are .xml files with paragraph/line IDs and I need .txt files. Would you have a script or a way to automatically recode them and remove the unnecessary tags?
We would also refer you to OPUS, you can find parallel txt files if you download the moses format -- then you get a zip which contains a .nl and a .tr file, and these are sentence aligned. i.e. the same line number in the two files should be translations of each other.
Do you know, are there any reasonable sentiment analysis algorithms/approaches for Dutch?
We have now added a page on sentiment analysis to this wiki.