CHANGES IN udpipe VERSION 0.8.3
- Default of udpipe_download_model is now changed, downloads now models built on Universal Dependencies 2.4 instead of the models build on Universal Dependencies 2.3
- also allow strsplit.data.frame to work if the data argument is a data.table
- in case the model loaded with udpipe_load_model is a nil pointer (most likely due to users which restarted their R sessions without knowing), try reloading the model file in udpipe_annotate
- fix issue in udpipe_reconstruct giving wrong values in start/end positions of the token in case someone had as well SpacesBefore as SpacesAfter for a token. For users prior to version 0.8.3 you can easily circumvent this issue by removing leading/trailing white space in your text by using trimws on your text before using udpipe::udpipe.
- document_term_matrix now gains argument weight allowing to select another column to put into the matrix cells
- add txt_contains
CHANGES IN udpipe VERSION 0.8.2
- udpipe::udpipe now gains 2 arguments: parallel.cores and parallel.chunksize in order to annotate in parallel over your CPU cores.
- document_term_matrix.data.frame now preserves order of the documents (issue #44)
- dtm_remove_lowfreq, dtm_remove_tfidf, dtm_remove_terms gain extra argument remove_emptydocs explicitely add drop=FALSE to internal dtm_… calls
- add dtm_remove_sparseterms (issue #44)
- make sure downloading model fails gracefully if github internet resource is not available on CRAN machines
- udpipe_download_model now also returns download_failed/download_message indicating if the download failed due to internet connectivity issues
CHANGES IN udpipe VERSION 0.8.1
- Allow to pass on a .udpipe filename in udpipe_download_model
- Update documentation on keywords_collocation
- Added strsplit.data.frame and paste.data.frame
CHANGES IN udpipe VERSION 0.8
- Default of udpipe_download_model is now changed, downloads now models built on Universal Dependencies 2.3 instead of the models build on Universal Dependencies 2.0
- Incorporate models from Universal Dependencies 2.3 released on 2018-11-15
- Incorporate models from conll18 shared task baseline built on Universal Dependencies 2.2
- In case someone uses document_term_frequencies.character incorrectly with double document identifiers, make sure this is handled
- txt_recode now returns x if the length of x is 0
- added txt_sentiment
- added txt_previousgram
CHANGES IN udpipe VERSION 0.7
- Allow to reconstruct the original text + allow to add a start/end field in as.data.frame (useful but undocumented feature). Set up mainly to be used with the crfsuite R package
- Added txt_tagsequence
- Added 1 general function called udpipe which does annotation of data in TIF format.
- Add option in udpipe_download_model to download the model only it does not exist on disk
- Loaded model are put into an environment such that users of the function udpipe do not need to care about loading
CHANGES IN udpipe VERSION 0.6.1
- src/udpipe.cpp: at the request of CRAN: remove dynamic execution specification which g++-7 and later complain about by removing the throw statements
- add ctb role to authors Milan and Jana in DESCRIPTION
CHANGES IN udpipe VERSION 0.6
- Added cbind_morphological and cbind_dependencies
- Allow to show progress in udpipe_annotate
- txt_nextgram now does not paste NA’s together in case someone would use it with missing text data
- Add example on only doing pos tagging and dependency parsing and excluding tokenisation
- Fix gcc8 message: warning: ‘char* strncpy(char, const char, size_t)’ specified bound 15 equals destination size [-Wstringop-truncation]
CHANGES IN udpipe VERSION 0.5
- Added txt_recode_ngram for recoding tokens with compound multi-word expressions
- Fix to make sure as.data.frame.udpipe_connlu also works with data.table version 1.9.6. Fixes issue #16
- Allow keywords_rake to use in group a character vector of column names
- Added a vignette on the use of the package to do topic modelling using the POS tags and multi-word expressions
- Add example of correlation analysis in vignette on ‘Basic Analytical Use Cases’
- dtm_remove_lowfreq to uses minfreq as lower bound
CHANGES IN udpipe VERSION 0.4
- Fix R CMD check on clang-UBSAN: UndefinedBehaviorSanitizer (runtime error: reference binding to misaligned address)
- Add more documentation on required UTF-8 encoding
- Add as_conllu
- Add as_word2vec
- Add as.data.table.udpipe_conllu for convenience
- Add keywords_rake and keywords_collocation
- Exported also keywords_collocation and keywords_phrases
- Add document_term_frequencies_statistics
- Add boilerplate functions dtm_rowsums and dtm_colsums
- Make output of keywords_collocation, keywords_rake and keywords_phrases consistent
- Allow cooccurrence.data.frame to provide a vector of groups
- Added another vignette
CHANGES IN udpipe VERSION 0.3
- Add docusaurus site
- udpipe_download_model gains and extra argument called udpipe_model_repo to allow to download models mainly released under CC-BY-SA from https://github.com/bnosac/udpipe.models.ud
- Add udpipe_accuracy
- Add dtm_rbind and dtm_cbind
- Add udpipe_read_conllu to simplify creating wordvectors
- Allow to provide several fields in document_term_frequencies to easily allow to include bigrams/trigrams/… for topic modelling purposes e.g. alongside the textrank package or alongside collocation
- Adding Serbian + Afrikaans
- Fixing UBSAN messages (misaligned addresses)
- If user has R version < 3.3.0, use own startsWith function instead of base::startsWith
CHANGES IN udpipe VERSION 0.2.2
- Another stab at fixing the Solaris compilation issue in ufal::udpipe::multiword_splitter::append_token
CHANGES IN udpipe VERSION 0.2.1
- Added phrases to extract POS sequences more easily like noun phrases, verb phrases or any sequence of parts of speech tags and their corresponding words
- Fix issue in txt_nextgram if n was larger than the number of elements in x
- Fix heap-use-after-free address sanitiser issue
- Fix runtime error: null pointer passed as argument 1, which is declared to never be null (e.g. udpipe.cpp: 3338)
- Another stab at the Solaris compilation issue
CHANGES IN udpipe VERSION 0.2
- Added data preparation elements for standard text mining flows namely: cooccurrence collocation document_term_frequencies document_term_matrix dtm_tfidf dtm_remove_terms dtm_remove_lowfreq dtm_remove_tfidf dtm_reverse dtm_cor txt_collapse txt_sample txt_show txt_highlight txt_recode txt_previous txt_next txt_nextgram unique_identifier
- Added predict.LDA_VEM and predict.LDA_Gibbs
- Renamed dataset annotation_params to udpipe_annotation_params
- Added example datasets called brussels_listings, brussels_reviews, brussels_reviews_anno
- Use path.expand on conll-u files which are used for training
- udpipe_download_model now downloads from https://raw.githubusercontent.com/jwijffels/udpipe.models.ud.2.0/master instead of https://github.com/jwijffels/udpipe.models.ud.2.0/raw/master
CHANGES IN udpipe VERSION 0.1.2
- Remove logic of UDPIPE_PROCESS_LOG (using Rcpp::Rout instead). This fixes issue detected with valgrind about ofstream
CHANGES IN udpipe VERSION 0.1.1
- Fix issue on Solaris builds at CRAN, namely: error: expected primary-expression before ‘enum’
- Use ufal::udpipe namespace directly
- Documentation fixes
CHANGES IN udpipe VERSION 0.1
- Initial release based on UDPipe commit a2ebb99d243546f64c95d0faf36882bb1d67a670
- Allow to do annotation (tokenisation, POS tagging, Lemmatisation, Dependency parsing)
- Allow to build your own UDPipe model based on data in CONLL-U format
- Convert the output of udpipe_annotate to a data.frame
- Allow to download models from https://github.com/jwijffels/udpipe.models.ud.2.0
- Add vignettes