Package: NLP 0.3-2
NLP: Natural Language Processing Infrastructure
Basic classes and methods for Natural Language Processing.
Authors:
NLP_0.3-2.tar.gz
NLP_0.3-2.tar.gz(r-4.5-noble)NLP_0.3-2.tar.gz(r-4.4-noble)
NLP_0.3-2.tgz(r-4.4-emscripten)NLP_0.3-2.tgz(r-4.3-emscripten)
NLP.pdf |NLP.html✨
NLP/json (API)
# Install 'NLP' in R: |
install.packages('NLP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 days agofrom:486a653226. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 21 2024 |
R-4.5-linux | OK | Nov 21 2024 |
Exports:annotateAnnotatedPlainTextDocumentannotationAnnotationannotations_in_spansAnnotatorAnnotator_Pipelineas.Annotationas.Annotator_Pipelineas.Spanas.Span_Tokenizeras.Stringas.Tagged_Tokenas.Token_Tokenizerblankline_tokenizerBrown_POS_tagschunked_sentsCoNLLTextDocumentCoNLLUTextDocumentcontentcontent<-featuresis.Annotationis.Spanis.Span_Tokenizeris.Stringis.Tagged_Tokenis.Token_Tokenizermetameta<-next_idngramsotoksparasparse_IETF_language_tagparse_ISO_8601_datetimeparsed_parasparsed_sentsPenn_Treebank_POS_tagsRegexp_TokenizersentsSimple_Chunk_AnnotatorSimple_Entity_AnnotatorSimple_Para_Token_AnnotatorSimple_POS_Tag_AnnotatorSimple_Sent_Token_AnnotatorSimple_Stem_AnnotatorSimple_Word_Token_Annotatorsingle_featureSpanSpan_TokenizerStringtagged_parastagged_sentsTagged_Tokentagged_wordsTaggedTextDocumentToken_TokenizerTreeTree_applyTree_parseUniversal_POS_tagsUniversal_POS_tags_mapwhitespace_tokenizerWordListDocumentwordpunct_tokenizerwords
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Annotate text strings | annotate |
Annotated Plain Text Documents | AnnotatedPlainTextDocument annotation |
Annotation objects | $<-.Annotation Annotation as.Annotation as.Annotation.Span as.data.frame.Annotation as.list.Annotation c.Annotation duplicated.Annotation format.Annotation is.Annotation length.Annotation merge.Annotation meta.Annotation meta<-.Annotation names.Annotation print.Annotation subset.Annotation unique.Annotation [.Annotation [[.Annotation |
Annotations contained in character spans | annotations_in_spans |
Annotator (pipeline) objects | Annotator Annotator_Pipeline as.Annotator_Pipeline |
Simple annotator generators | Simple annotator generators Simple_Chunk_Annotator Simple_Entity_Annotator Simple_Para_Token_Annotator Simple_POS_Tag_Annotator Simple_Sent_Token_Annotator Simple_Stem_Annotator Simple_Word_Token_Annotator |
CoNLL-Style Text Documents | CoNLLTextDocument |
CoNNL-U Text Documents | CoNLLUTextDocument read_CoNNLU |
Parse ISO 8601 Date/Time Strings | parse_ISO_8601_datetime |
Extract Annotation Features | features |
Access or Modify Content or Metadata | content content<- meta meta<- |
Parse IETF Language Tag | language parse_IETF_language_tag |
Compute N-Grams | ngrams |
Span objects | $<-.Span as.data.frame.Span as.list.Span as.Span c.Span duplicated.Span format.Span is.Span length.Span names.Span Ops.Span print.Span Span unique.Span [.Span [[.Span |
String objects | as.String is.String String |
Tagged_Token objects | $<-.Tagged_Token as.data.frame.Tagged_Token as.list.Tagged_Token as.Tagged_Token c.Tagged_Token duplicated.Tagged_Token format.Tagged_Token is.Tagged_Token length.Tagged_Token names.Tagged_Token print.Tagged_Token Tagged_Token unique.Tagged_Token [.Tagged_Token [[.Tagged_Token |
POS-Tagged Word Text Documents | TaggedTextDocument |
NLP Tag Sets | Brown_POS_tags Penn_Treebank_POS_tags Universal_POS_tags Universal_POS_tags_map |
Text Documents | TextDocument |
Tokenizer objects | as.Span_Tokenizer as.Token_Tokenizer is.Span_Tokenizer is.Token_Tokenizer Span_Tokenizer Token_Tokenizer |
Regexp tokenizers | blankline_tokenizer Regexp_Tokenizer whitespace_tokenizer wordpunct_tokenizer |
Tree objects | format.Tree print.Tree Tree Tree_apply Tree_parse |
Annotation Utilities | next_id single_feature |
Text Document Viewers | chunked_sents otoks paras parsed_paras parsed_sents sents tagged_paras tagged_sents tagged_words words |
Word List Text Documents | WordListDocument |