Comments (3)
You can train your own models on more recent data from universal dependencies with this R package. These models are 'udpipe 1' models and you can train them on any version of data of universal dependencies.
Documentation of how to do that is put at
- https://cran.r-project.org/web/packages/udpipe/vignettes/udpipe-train.html
- https://www.bnosac.be/index.php/blog/102-udpipe-r-package-updated
from udpipe.
You can train your own models on more recent data from universal dependencies with this R package.
Documentation of how to do that is put at
- https://cran.r-project.org/web/packages/udpipe/vignettes/udpipe-train.html
- https://www.bnosac.be/index.php/blog/102-udpipe-r-package-updated
from udpipe.
Thank you for this!
(I was hoping to be able to use more recent pre-trained model out of the box).
from udpipe.
Related Issues (20)
- ```cooccurrence``` group argument not working properly HOT 5
- looks like a bug in R-devel, not in our package HOT 3
- Create keywords using RAKE, adapt token and headtoken ids, and merge remaining fields. HOT 1
- update for Matrix package HOT 1
- Error in `[.data.table`(out, , `:=`(term_id, 1L:.N), by = list(doc_id)) HOT 1
- iterations in parser training do not start HOT 8
- add dependency relationships
- cran r cmd check
- Support for Big-endian platforms? HOT 4
- keywords_rake
- handle both "sent_id" and "sentence_id" for udpipe_read_conllu HOT 6
- Sentence Splitting issue HOT 1
- strsplit speedup HOT 1
- avoid confusion if passing on to udpipe in parallel a data.frame with duplicate doc_id's HOT 1
- problem - Error in udp_tokenise_tag_parse HOT 9
- txt_count
- dtm_svd_similarity HOT 1
- Add
- Error in `[.data.table` when using special characters HOT 2
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