Q&A: Difference between revisions
No edit summary |
(Marked this version for translation) |
||
(3 intermediate revisions by 2 users not shown) | |||
Line 1: | Line 1: | ||
<languages/> | |||
<translate> | <translate> | ||
<!--T:1--> | |||
This page lists the questions we received. | This page lists the questions we received. | ||
==How can I get access to CLARIN tools and resources, without an academic account?== | ==How can I get access to CLARIN tools and resources, without an academic account?== <!--T:2--> | ||
<!--T:67--> | |||
It is possible to ask for an account at the [https://idm.clarin.eu/unitygw/pub#!registration-CLARIN%20Identity%20Registration CLARIN Account Registration] page. | It is possible to ask for an account at the [https://idm.clarin.eu/unitygw/pub#!registration-CLARIN%20Identity%20Registration CLARIN Account Registration] page. | ||
==Do you have any domain specific corpora?== | ==Do you have any domain specific corpora?== <!--T:3--> | ||
<!--T:68--> | |||
On the [https://kdutch.ivdnt.org/wiki/K-Dutch#Corpora 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. | On the [https://kdutch.ivdnt.org/wiki/K-Dutch#Corpora 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?== | ==Are there literary texts available?== <!--T:4--> | ||
<!--T:69--> | |||
From the [https://kdutch.ivdnt.org/wiki/Historical_corpora#Public_Domain_Data_.40_DBNL Public Domain Page] you can find a link to the downloadable public domain files in DBNL. | From the [https://kdutch.ivdnt.org/wiki/Historical_corpora#Public_Domain_Data_.40_DBNL 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?== | ==Is there a speech recognition engine available for Belgian Dutch?== <!--T:5--> | ||
<!--T:70--> | |||
Since April 2022, there is a new ASR engine available, specifically suited for speech recognition for Belgian Dutch. | Since April 2022, there is a new ASR engine available, specifically suited for speech recognition for Belgian Dutch. | ||
*[https://www.spraak.org/webservice/dutch_asr/ Online webservice] TEMPORARILY UNAVAILABLE | *[https://www.spraak.org/webservice/dutch_asr/ Online webservice] TEMPORARILY UNAVAILABLE | ||
*[https://clinjournal.org/clinj/article/view/119 Scientific publication about speech recognition engine] | *[https://clinjournal.org/clinj/article/view/119 Scientific publication about speech recognition engine] | ||
<!--T:6--> | |||
Check also the page dedicated to [[Speech_recognition]] systems | Check also the page dedicated to [[Speech_recognition]] systems | ||
==Which corpora are available for Automatic Simplification for Dutch?== | ==Which corpora are available for Automatic Simplification for Dutch?== <!--T:7--> | ||
<!--T:71--> | |||
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. | 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. | ||
<!--T:8--> | |||
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 [http://hdl.handle.net/10032/tm-a2-q6 Wablieft-corpus] (Easy Belgian Dutch), the [http://hdl.handle.net/10032/tm-a2-n4 Basilex-corpus] (Texts for children in Dutch primary schools), and [http://hdl.handle.net/10032/tm-a2-t9 WAI-NOT] (Very easy Belgian Dutch). | 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 [http://hdl.handle.net/10032/tm-a2-q6 Wablieft-corpus] (Easy Belgian Dutch), the [http://hdl.handle.net/10032/tm-a2-n4 Basilex-corpus] (Texts for children in Dutch primary schools), and [http://hdl.handle.net/10032/tm-a2-t9 WAI-NOT] (Very easy Belgian Dutch). | ||
==Are there any corpora that contain dialogues between two or more people?== | ==Are there any corpora that contain dialogues between two or more people?== <!--T:9--> | ||
<!--T:72--> | |||
There are a number of dialog components in CGN (Spoken Dutch Corpus). | There are a number of dialog components in CGN (Spoken Dutch Corpus). | ||
* a. Spontane conversaties ('face-to-face') | * a. Spontane conversaties ('face-to-face') | ||
Line 30: | Line 46: | ||
* e. Zakelijke onderhandelingen | * e. Zakelijke onderhandelingen | ||
<!--T:10--> | |||
* Download: https://taalmaterialen.ivdnt.org/download/tstc-corpus-gesproken-nederlands/ | * Download: https://taalmaterialen.ivdnt.org/download/tstc-corpus-gesproken-nederlands/ | ||
* Online search: https://portal.clarin.inl.nl/opensonar_frontend/opensonar/search | * Online search: https://portal.clarin.inl.nl/opensonar_frontend/opensonar/search | ||
<!--T:11--> | |||
There is also the [https://www.fon.hum.uva.nl/IFA-SpokenLanguageCorpora/IFADVcorpus/ IFA Dialog Video corpus]. | There is also the [https://www.fon.hum.uva.nl/IFA-SpokenLanguageCorpora/IFADVcorpus/ IFA Dialog Video corpus]. | ||
<!--T:12--> | |||
"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." | "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/ | * Download: https://taalmaterialen.ivdnt.org/download/tstc-ifa-dialoog-videocorpus/ | ||
* Online data: https://www.fon.hum.uva.nl/IFA-SpokenLanguageCorpora/IFADVcorpus/ | * Online data: https://www.fon.hum.uva.nl/IFA-SpokenLanguageCorpora/IFADVcorpus/ | ||
==Advice for finding financial support for compiling a medical comparable corpus English-Dutch== | ==Advice for finding financial support for compiling a medical comparable corpus English-Dutch== <!--T:13--> | ||
<!--T:73--> | |||
We are looking into whether this is fundable by [https://www.clarin.eu/content/clarin-resource-families-project-funding 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 are looking into whether this is fundable by [https://www.clarin.eu/content/clarin-resource-families-project-funding 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.") | ||
<!--T:14--> | |||
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 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. | ||
<!--T:15--> | |||
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 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. | ||
<!--T:16--> | |||
We should be aware of the [https://opus.nlpl.eu/EMEA.php EMEA corpus in OPUS] | We should be aware of the [https://opus.nlpl.eu/EMEA.php EMEA corpus in OPUS] | ||
==Is it possible to automate finding of word conversions for specific corpora?== | ==Is it possible to automate finding of word conversions for specific corpora?== <!--T:17--> | ||
<!--T:74--> | |||
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: | 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: | ||
<!--T:18--> | |||
* ik '''douche''' / ik neem een '''douche''' | * ik '''douche''' / ik neem een '''douche''' | ||
* wij '''geloven''' in iets / zijn '''geloof''' in iets | * wij '''geloven''' in iets / zijn '''geloof''' in iets | ||
Line 58: | Line 85: | ||
* we '''trommelden''' op de '''trommel''' | * we '''trommelden''' op de '''trommel''' | ||
<!--T:19--> | |||
Answer: The [https://taalmaterialen.ivdnt.org/download/tstc-e-lex/ e-Lex lexicon] allows you to search word forms with multiple POS tags, as you ask. This lexicon is based on CGN. | Answer: The [https://taalmaterialen.ivdnt.org/download/tstc-e-lex/ 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. | 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== | ==I am looking for spoken and written corpora for a contrastive study German/Dutch in which I can find actual word forms== <!--T:20--> | ||
<!--T:75--> | |||
We refer you to [http://opensonar.ivdnt.org/ 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. | We refer you to [http://opensonar.ivdnt.org/ 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?== | ==I want to find all Dutch lemmas in which there is double derivation, can you help me?== <!--T:21--> | ||
<!--T:76--> | |||
The [http://hdl.handle.net/10032/tm-a2-h2 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. | The [http://hdl.handle.net/10032/tm-a2-h2 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. | ||
<!--T:22--> | |||
<pre> | <pre> | ||
(ing)[N|V.](s)[N|N.N] 9344 | (ing)[N|V.](s)[N|N.N] 9344 | ||
Line 77: | Line 110: | ||
</pre> | </pre> | ||
==Can I get a distribution of the suffixes on Dutch adjectives?== | ==Can I get a distribution of the suffixes on Dutch adjectives?== <!--T:23--> | ||
<!--T:77--> | |||
The [http://hdl.handle.net/10032/tm-a2-h2 eLex lexicon] contains as its third data field the morphology of lemmas. We counted, per lemma id that is an adjective the frequency of the last suffix. For no morphology, we assigned category '0'. | The [http://hdl.handle.net/10032/tm-a2-h2 eLex lexicon] contains as its third data field the morphology of lemmas. We counted, per lemma id that is an adjective the frequency of the last suffix. For no morphology, we assigned category '0'. | ||
<!--T:24--> | |||
<pre> | <pre> | ||
0 11781 | 0 11781 | ||
Line 99: | Line 135: | ||
</pre> | </pre> | ||
==I want to use the CGN wave files, but found a dead link on the original website== | ==I want to use the CGN wave files, but found a dead link on the original website== <!--T:25--> | ||
<!--T:78--> | |||
There is a permanent link for the CGN wave file download page: [http://hdl.handle.net/10032/tm-a2-k6 http://hdl.handle.net/10032/tm-a2-k6] | There is a permanent link for the CGN wave file download page: [http://hdl.handle.net/10032/tm-a2-k6 http://hdl.handle.net/10032/tm-a2-k6] | ||
==Which treebanks are available for Dutch?== | ==Which treebanks are available for Dutch?== <!--T:26--> | ||
<!--T:79--> | |||
We have added the [[Treebanks]] page to this wiki to answer this question. | We have added the [[Treebanks]] page to this wiki to answer this question. | ||
==Is there a corpus with imperative sentences?== | ==Is there a corpus with imperative sentences?== <!--T:27--> | ||
<!--T:80--> | |||
There is no such explicit corpus available. If we provide [https://kdutch.ivdnt.org/wiki/Treebank_querying#GrETEL GrETEL] with an imperative example we can extract similar sentences, which should be usable as an imperative corpus. | There is no such explicit corpus available. If we provide [https://kdutch.ivdnt.org/wiki/Treebank_querying#GrETEL GrETEL] with an imperative example we can extract similar sentences, which should be usable as an imperative corpus. | ||
==We will run some topic modeling analyses on some Flemish/Belgian Dutch data we have. Because our data set is relatively small for this kind of task, the idea is to train the topic model on a much larger corpus (e.g. social media posts). Do you know of any such corpus that might be available? == | ==We will run some topic modeling analyses on some Flemish/Belgian Dutch data we have. Because our data set is relatively small for this kind of task, the idea is to train the topic model on a much larger corpus (e.g. social media posts). Do you know of any such corpus that might be available? == <!--T:28--> | ||
<!--T:81--> | |||
Take a look at [https://kdutch.ivdnt.org/wiki/K-Dutch#Corpora] | Take a look at [https://kdutch.ivdnt.org/wiki/K-Dutch#Corpora] | ||
==How can I calculate the readability of Dutch text?== | ==How can I calculate the readability of Dutch text?== <!--T:29--> | ||
<!--T:82--> | |||
There is a tool called [https://tscan.hum.uu.nl/tscan/ T-scan] that may be helpful there. | There is a tool called [https://tscan.hum.uu.nl/tscan/ T-scan] that may be helpful there. | ||
==How can I calculate Flesch-Douma for Dutch?== | ==How can I calculate Flesch-Douma for Dutch?== <!--T:30--> | ||
<!--T:83--> | |||
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 number 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. | 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 number 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.== | ==I am looking for a parallel corpus of Dutch-Turkish texts.== <!--T:31--> | ||
<!--T:84--> | |||
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? | 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? | 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? | ||
<!--T:32--> | |||
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. | 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?== | ==Do you know, are there any reasonable sentiment analysis algorithms/approaches for Dutch?== <!--T:33--> | ||
<!--T:85--> | |||
We have now added a page on [[sentiment analysis]] to this wiki. | We have now added a page on [[sentiment analysis]] to this wiki. | ||
==Are there any spoken corpora available of spontaneous speech with time stamped transcriptions, which are freely available?== | ==Are there any spoken corpora available of spontaneous speech with time stamped transcriptions, which are freely available?== <!--T:34--> | ||
<!--T:86--> | |||
On [https://kdutch.ivdnt.org/wiki/Spoken_corpora] we've collected what is available for Dutch. | On [https://kdutch.ivdnt.org/wiki/Spoken_corpora] we've collected what is available for Dutch. | ||
<!--T:35--> | |||
The Corpus Gesproken Nederlands (CGN) has a section of spontaneous speech, with time-stamped transcriptions, freely available. | The Corpus Gesproken Nederlands (CGN) has a section of spontaneous speech, with time-stamped transcriptions, freely available. | ||
==How can I combine search for "green" and "red" word order in OpenSonar?== | ==How can I combine search for "green" and "red" word order in OpenSonar?== <!--T:36--> | ||
<!--T:87--> | |||
In principle it is possible to ask for both orders at the same time, see the example for more info. | In principle it is possible to ask for both orders at the same time, see the example for more info. | ||
<!--T:37--> | |||
*[https://portal.clarin.inl.nl/opensonar_frontend/opensonar/search/hits?filter=Corpus_title%3A%28%22CGN%22%29&first=0&number=20&patt=%5Blemma%3D%22hebben%7Czijn%22+%26+pos_head%3D%22ww%22%26pos_wvorm%3D%22pv%22%5D%5Bpos_head%3D%22ww%22%26pos_wvorm%3D%22vd%22%5D+%7C+%5Bpos_head%3D%22ww%22%26pos_wvorm%3D%22vd%22%5D%5Blemma%3D%22hebben%7Czijn%22+%26+pos_head%3D%22ww%22%26pos_wvorm%3D%22pv%22%5D&interface=%7B%22form%22%3A%22search%22%2C%22patternMode%22%3A%22expert%22%7D Example] | *[https://portal.clarin.inl.nl/opensonar_frontend/opensonar/search/hits?filter=Corpus_title%3A%28%22CGN%22%29&first=0&number=20&patt=%5Blemma%3D%22hebben%7Czijn%22+%26+pos_head%3D%22ww%22%26pos_wvorm%3D%22pv%22%5D%5Bpos_head%3D%22ww%22%26pos_wvorm%3D%22vd%22%5D+%7C+%5Bpos_head%3D%22ww%22%26pos_wvorm%3D%22vd%22%5D%5Blemma%3D%22hebben%7Czijn%22+%26+pos_head%3D%22ww%22%26pos_wvorm%3D%22pv%22%5D&interface=%7B%22form%22%3A%22search%22%2C%22patternMode%22%3A%22expert%22%7D Example] | ||
==Can you give advice on setting up a transcription process for a spoken language corpus?== | ==Can you give advice on setting up a transcription process for a spoken language corpus?== <!--T:38--> | ||
<!--T:88--> | |||
A meeting was held in which we discussed the use of speech recognition, segmentation, speaker diarisation, and post-editing of speech recognition. We have given the advice to include K-Dutch into the project proposal so that K-Dutch can take care of converting ASR output to ELAN tiers, merging of ELAN tiers etc. | A meeting was held in which we discussed the use of speech recognition, segmentation, speaker diarisation, and post-editing of speech recognition. We have given the advice to include K-Dutch into the project proposal so that K-Dutch can take care of converting ASR output to ELAN tiers, merging of ELAN tiers etc. | ||
==What are the character n-gram frequencies for Dutch?== | ==What are the character n-gram frequencies for Dutch?== <!--T:39--> | ||
<!--T:89--> | |||
We have counted the n-gram frequencies up to trigrams and made them available at [[Character_N-grams]]. | We have counted the n-gram frequencies up to trigrams and made them available at [[Character_N-grams]]. | ||
==Is there an user friendly interface for working with the EMEA part of the Lassy-Large treebank?== | ==Is there an user friendly interface for working with the EMEA part of the Lassy-Large treebank?== <!--T:40--> | ||
<!--T:90--> | |||
Lassy Large is extremely large, and therefore not entirely available through online query tools such as GrETEL and PaQu, although the latter provides access to the newspaper part. A suggestion is to download the data and then import it into an xml database engine, such as [https://basex.org/ Basex] which will allow you to query it with Xpath and Xquery. | Lassy Large is extremely large, and therefore not entirely available through online query tools such as GrETEL and PaQu, although the latter provides access to the newspaper part. A suggestion is to download the data and then import it into an xml database engine, such as [https://basex.org/ Basex] which will allow you to query it with Xpath and Xquery. | ||
==What are good POS taggers for non-standard Dutch?== | ==What are good POS taggers for non-standard Dutch?== <!--T:41--> | ||
<!--T:91--> | |||
See [[Basic_language_processing]] page. | See [[Basic_language_processing]] page. | ||
==Are there any lexical profiling tools for Dutch?== | ==Are there any lexical profiling tools for Dutch?== <!--T:42--> | ||
<!--T:92--> | |||
The request is whether there are any user friendly and freely available tools with which teachers can assess the lexical profile of a text (to which frequency levels do the words belong, how many of the most frequent words should a reader know to understand 95% etc.) | The request is whether there are any user friendly and freely available tools with which teachers can assess the lexical profile of a text (to which frequency levels do the words belong, how many of the most frequent words should a reader know to understand 95% etc.) | ||
<!--T:43--> | |||
While we are not aware of any tools that do such a thing explicitly, there are a number of tools that go partly that way. | While we are not aware of any tools that do such a thing explicitly, there are a number of tools that go partly that way. | ||
We suggest taking a look at | We suggest taking a look at | ||
Line 156: | Line 226: | ||
*[https://tscan.hum.uu.nl/tscan/ T-scan] which is what LINT is based on, and which is a bit less user friendly | *[https://tscan.hum.uu.nl/tscan/ T-scan] which is what LINT is based on, and which is a bit less user friendly | ||
<!--T:44--> | |||
There are also a number of tools that can be found at | There are also a number of tools that can be found at | ||
[https://ilt.kuleuven.be/aanbod/index.php Instituut voor Levende Talen] | [https://ilt.kuleuven.be/aanbod/index.php Instituut voor Levende Talen] | ||
== Is there a word list of difficult words for Dutch? == | == Is there a word list of difficult words for Dutch? == <!--T:45--> | ||
<!--T:93--> | |||
While this question is about ''difficult'' words, we mainly have word lists of easy words at our disposal: | While this question is about ''difficult'' words, we mainly have word lists of easy words at our disposal: | ||
<!--T:46--> | |||
* There is the BasiLex lexicon that contains words aimed at children up to 12 years old | * There is the BasiLex lexicon that contains words aimed at children up to 12 years old | ||
* There is the BasiScript lexicon that contains words produced by children up to 12 years old | * There is the BasiScript lexicon that contains words produced by children up to 12 years old | ||
Line 167: | Line 241: | ||
* The NT2Lex provides a lexicon with words and how they occur in texts aimed at specific CEFR levels. | * The NT2Lex provides a lexicon with words and how they occur in texts aimed at specific CEFR levels. | ||
<!--T:47--> | |||
If a word does not occur in a list of easy words, that could be used as a measure for word difficulty. But, difficulty is determined more than just by words, i.e. there is also syntactic complexity. | If a word does not occur in a list of easy words, that could be used as a measure for word difficulty. But, difficulty is determined more than just by words, i.e. there is also syntactic complexity. | ||
<!--T:48--> | |||
You could use e.g. the T-scan tool that measures complexity of texts. | You could use e.g. the T-scan tool that measures complexity of texts. | ||
== Is there a text only version of the Corpus Spoken Dutch? == | == Is there a text only version of the Corpus Spoken Dutch? == <!--T:49--> | ||
<!--T:94--> | |||
The download files of the Corpus Spoken Dutch (CGN) do not contain the text only. The <code>ort</code> files contain ortographic transcriptions and timestamps and the <code>plk</code> files contain part-of-speech and lemma information. The following perl script takes a list of plk files as input and prints the text. If you run this script from the command line in your terminal, then you can create text files. | The download files of the Corpus Spoken Dutch (CGN) do not contain the text only. The <code>ort</code> files contain ortographic transcriptions and timestamps and the <code>plk</code> files contain part-of-speech and lemma information. The following perl script takes a list of plk files as input and prints the text. If you run this script from the command line in your terminal, then you can create text files. | ||
<!--T:50--> | |||
<code>binmode(STDOUT, ":utf8");</code> | <code>binmode(STDOUT, ":utf8");</code> | ||
<!--T:51--> | |||
<code>while ($in=shift(@ARGV)) {</code> | <code>while ($in=shift(@ARGV)) {</code> | ||
<!--T:52--> | |||
<code> print STDERR "Processing $in\n";</code> | <code> print STDERR "Processing $in\n";</code> | ||
<!--T:53--> | |||
<code> open(F,$in);</code> | <code> open(F,$in);</code> | ||
<!--T:54--> | |||
<code> while (<F>) {</code> | <code> while (<F>) {</code> | ||
<!--T:55--> | |||
<code> if (/^<au/) {</code> | <code> if (/^<au/) {</code> | ||
<!--T:56--> | |||
<code> if (@words>0) {</code> | <code> if (@words>0) {</code> | ||
<!--T:57--> | |||
<code> print join(" ",@words)."\n";</code> | <code> print join(" ",@words)."\n";</code> | ||
<!--T:58--> | |||
<code> }</code> | <code> }</code> | ||
<!--T:59--> | |||
<code> @words=();</code> | <code> @words=();</code> | ||
<!--T:60--> | |||
<code> }</code> | <code> }</code> | ||
<!--T:61--> | |||
<code> else {</code> | <code> else {</code> | ||
<!--T:62--> | |||
<code> ($word,$tag,$lem)=split(/\t/);</code> | <code> ($word,$tag,$lem)=split(/\t/);</code> | ||
<!--T:63--> | |||
<code> push(@words,$word);</code> | <code> push(@words,$word);</code> | ||
<!--T:64--> | |||
<code> }</code> | <code> }</code> | ||
<!--T:65--> | |||
<code> }</code> | <code> }</code> | ||
<!--T:66--> | |||
<code>}</code> | <code>}</code> | ||
</translate> | </translate> |
Latest revision as of 14:19, 5 July 2024
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?
Since April 2022, there is a new ASR engine available, specifically suited for speech recognition for Belgian Dutch.
- Online webservice TEMPORARILY UNAVAILABLE
- Scientific publication about speech recognition engine
Check also the page dedicated to Speech_recognition systems
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 lemma id 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 ...
I want to use the CGN wave files, but found a dead link on the original website
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.
We will run some topic modeling analyses on some Flemish/Belgian Dutch data we have. Because our data set is relatively small for this kind of task, the idea is to train the topic model on a much larger corpus (e.g. social media posts). Do you know of any such corpus that might be available?
Take a look at [1]
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 number 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.
Are there any spoken corpora available of spontaneous speech with time stamped transcriptions, which are freely available?
On [2] we've collected what is available for Dutch.
The Corpus Gesproken Nederlands (CGN) has a section of spontaneous speech, with time-stamped transcriptions, freely available.
How can I combine search for "green" and "red" word order in OpenSonar?
In principle it is possible to ask for both orders at the same time, see the example for more info.
Can you give advice on setting up a transcription process for a spoken language corpus?
A meeting was held in which we discussed the use of speech recognition, segmentation, speaker diarisation, and post-editing of speech recognition. We have given the advice to include K-Dutch into the project proposal so that K-Dutch can take care of converting ASR output to ELAN tiers, merging of ELAN tiers etc.
What are the character n-gram frequencies for Dutch?
We have counted the n-gram frequencies up to trigrams and made them available at Character_N-grams.
Is there an user friendly interface for working with the EMEA part of the Lassy-Large treebank?
Lassy Large is extremely large, and therefore not entirely available through online query tools such as GrETEL and PaQu, although the latter provides access to the newspaper part. A suggestion is to download the data and then import it into an xml database engine, such as Basex which will allow you to query it with Xpath and Xquery.
What are good POS taggers for non-standard Dutch?
See Basic_language_processing page.
Are there any lexical profiling tools for Dutch?
The request is whether there are any user friendly and freely available tools with which teachers can assess the lexical profile of a text (to which frequency levels do the words belong, how many of the most frequent words should a reader know to understand 95% etc.)
While we are not aware of any tools that do such a thing explicitly, there are a number of tools that go partly that way. We suggest taking a look at
- LINT which assesses the readability of a text
- T-scan which is what LINT is based on, and which is a bit less user friendly
There are also a number of tools that can be found at Instituut voor Levende Talen
Is there a word list of difficult words for Dutch?
While this question is about difficult words, we mainly have word lists of easy words at our disposal:
- There is the BasiLex lexicon that contains words aimed at children up to 12 years old
- There is the BasiScript lexicon that contains words produced by children up to 12 years old
- There are frequency lists available for a number of different corpora, each listing the 5000 most frequent words: http://hdl.handle.net/10032/tm-a2-f8
- The NT2Lex provides a lexicon with words and how they occur in texts aimed at specific CEFR levels.
If a word does not occur in a list of easy words, that could be used as a measure for word difficulty. But, difficulty is determined more than just by words, i.e. there is also syntactic complexity.
You could use e.g. the T-scan tool that measures complexity of texts.
Is there a text only version of the Corpus Spoken Dutch?
The download files of the Corpus Spoken Dutch (CGN) do not contain the text only. The ort
files contain ortographic transcriptions and timestamps and the plk
files contain part-of-speech and lemma information. The following perl script takes a list of plk files as input and prints the text. If you run this script from the command line in your terminal, then you can create text files.
binmode(STDOUT, ":utf8");
while ($in=shift(@ARGV)) {
print STDERR "Processing $in\n";
open(F,$in);
while (<F>) {
if (/^<au/) {
if (@words>0) {
print join(" ",@words)."\n";
}
@words=();
}
else {
($word,$tag,$lem)=split(/\t/);
push(@words,$word);
}
}
}