udpipe | Trainable pipeline | Natural Language Processing library
kandi X-RAY | udpipe Summary
kandi X-RAY | udpipe Summary
UDPipe is a trainable pipeline for tokenization, tagging, lemmatization and dependency parsing of CoNLL-U files. UDPipe is language-agnostic and can be trained given annotated data in CoNLL-U format. Trained models are provided for nearly all UD treebanks. UDPipe is available as a binary for Linux/Windows/OS X, as a library for C++, Python, Perl, Java, C#, and as a web service. Third-party R CRAN package also exists. UDPipe is a free software distributed under the Mozilla Public License 2.0 and the linguistic models are free for non-commercial use and distributed under the CC BY-NC-SA license, although for some models the original data used to create the model may impose additional licensing conditions. UDPipe is versioned using Semantic Versioning. Copyright 2017 by Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University, Czech Republic. UDPipe website contains download links of both the released packages and trained models, hosts documentation and offers online web service. UDPipe development repository is hosted on GitHub.
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QUESTION
I have a data frame with a bunch of text strings. In a second data frame I have a list of phrases that I'm using as a lookup table. I want to search the text strings for all possible phrase matches in the lookup table.
My problem is that some of the phrases have overlapping words. For example: "eggs" and "green eggs".
...ANSWER
Answered 2022-Jan-13 at 08:25I think you can simply use grepl to match if a string is inside another one. From that you apply grepl to all other matching patterns
QUESTION
I'm running R 3.5.2 inside SQL Server 2019.
Loading the pre-trained udpipe model using the following command:
...ANSWER
Answered 2021-Aug-30 at 00:50I've done it. (Finally!!)
Yes, it was a permissions issue, but not like you would expect. Aside from SQL having access to the folder, to have R access a file folder outside of working directory. You have to give permissions to "ALL APPLICATION PACKAGES" object to that folder.
Hope that saves anyone else the hours of piecing together google bits.
QUESTION
I get the following error when I try to run UDPIPE via external script call in SQL Server.
...ANSWER
Answered 2021-Aug-27 at 15:20Thank you for the guidance. Yes you were correct. It does seem to be the result of installing packages that were built for the wrong version of R. Alas, removing and re-installing packages doesnt quite fix it, as there seems to be a lot of "stuff" left over wreaking havoc.
For anyone that lands here in the future: The solution in the end was to uninstall R services using the SQL 2019 setup tool. Then re-install R services. And finally install a clean R 3.5.2 instance, install all needed R packages there, and copy over to the SQL R Library.
That seems to cleanup all the bits that were "corrupted" for lack of a better term.
QUESTION
I am new in R. I tried to gather the verbs ("/VB","/VBD","/VBG","/VBN","/VBP","/VBZ") using "openNLP" package (Note that 'udpipe' does not work in my environment). I have a sentence mixed with the tag as below.
"Doing/VBG work/NN as/IN always/RB ./. playing/VBG soccer/NN is/VBZ good/JJ ./. I/PRP do/VBP that/IN"
How can I achieve the verbs without POS tags? The answer I am trying to get in this example is
..."doing", "playing", "is", "do"
ANSWER
Answered 2021-Jun-13 at 20:09QUESTION
I am trying to convert an annotated NLP model of size 1.2GB to dataframe. I am using the Udpipe package for natural language processing in R with following code:
...ANSWER
Answered 2020-Dec-03 at 12:02Probably you have quite some documents to annotate. It's better to annotate in chunks as shown at https://cran.r-project.org/web/packages/udpipe/vignettes/udpipe-parallel.html
Following code will annotate in chunks of 50 documents in parallel across 2 cores and basically does your data.frame command. You will no longer have the issue as the function did strsplit on each chunks of 50 documents instead of on your full dataset where apparently the size of the annotated text was too large to fit into the limits of a stringbuffer in R. But below code will solve your issue.
QUESTION
I have a 3000 x 2 corpus data frame whose name is dfcorpus, comprised of two columns: document ids and texts (lowercased and preprocessed). I am using the biterm topic model BTM package in R as follows:
ANSWER
Answered 2020-Jul-29 at 18:26Your dfcorpus should be a tokenised data.frame as indicated in the help of BTM at https://cran.r-project.org/web/packages/BTM/BTM.pdf
QUESTION
I am new to the udpipe package, and I think it has great potential for the social sciences.
A current project of mine to study how news articles write about networks and networking (i.e. the people kind, not computer networks). For this, I webscraped 500 articles with the search string "network" from a Dutch site for news about the flexible economy (this is the major source of news and discussion about e.g. self-employment). The data is in Dutch, but that should not matter for my question.
What I like to use udpipe for, is to find out in what context the noun "netwerk" or verb "netwerken" is used. I tried kwic to get this (from quanteda), but that gives me just the "window in which it occurs.
I would like to use the lemma (netwerk/netwerken) with the co-occurences operator, but without specifying a second term, and only limited to that specific lemma, rather than calculating all co-occurences.
Is this possible, and how? A normal language example: In my network, I contact a lot of people through Facebook -> I would like to get co-occurrence of network and contact (a verb) I found most of my clients through my network -> here I would like "my network" + "found my clients".
Any help is mightily appreciated!
...ANSWER
Answered 2020-May-04 at 18:29It looks like that udpipe makes more sense about "context" than kwic. If sentence level, lemma and limiting word types suffices it should be rather straight forward. Udpipe had dutch model also available prebuilt.
QUESTION
When I first run the code below, everything is ok. But when I change something in html_file %>%... comand, for example commenting tolower(), I get the following error:
ANSWER
Answered 2020-Apr-04 at 21:57By default, drake saves targets as RDS files (other options here). So https://github.com/tidyverse/rvest/issues/181#issuecomment-395064636, which you brought up, is exactly the problem. I like (1) because text is compatible with RDS. Speaking broadly, it is up to the user to choose good targets compatible with drake's data storage system. See https://books.ropensci.org/drake/plans.html#how-to-choose-good-targets for a discussion and links to similar issues. But you want to go with (2), you could return the file path to your HTML file from within a dynamic file.
QUESTION
I am using the function keywords_rake from the udpipe package (for R) to extract keywords from a bunch of documents.
...ANSWER
Answered 2020-Jan-28 at 10:25You can use txt_recode_ngram together with the outcome of keywords_rake to do this. The advantage is that everything is back in the original data.frame and you can then select what you need. See example below using the dataset supplied with udpipe.
Disclaimer: Code copied from jwijffels' answer in issue 41 on the github page of udpipe.
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