Tools for Natural Language Processing in French
Tools for Natural Language Processing in French and texts from Marcel Proust's collection
"A La Recherche Du Temps Perdu". The novels contained in this collection are
"Du cote de chez Swann ", "A l'ombre des jeunes filles en fleurs","Le Cote de Guermantes",
"Sodome et Gomorrhe I et II", "La Prisonniere", "Albertine disparue", and "Le Temps retrouve".
tidytext, dplyr, magrittr, stringr, rlang, purrr, tidyr,
tokenizers, SnowballC, assertthat

dplyr, magrittr, stringr, rlang, purrr, tidyr, tokenizers,
SnowballC, assertthat

person("Colin", "Fay", email = "contact@colinfay.me", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7343-1846"))
stringr, rlang, tidyr, tokenizers, SnowballC, attempt

c(
person("Orenna", "Brand", email = "o.brand@columbia.edu", role = "aut"),
person("Elizabeth", "Fong", email = "fong22e@mtholyoke.edu", role = "aut"),
person("Barbara", "Lerner", email = "blerner@mtholyoke.edu", role = "cre"),
person("Rose", "Sheehan", email = "sheeh22r@mtholyoke.edu", role = "aut"),
person("Joseph", "Wonsil", email = "jwonsil@carthage.edu", role = "aut"),
person("Emery", "Boose", email = "boose@fas.harvard.edu", role = "aut")
)
Uses provenance post-execution to help the user understand
and debug their script by providing functions to look at intermediate steps and
data values, their forwards and backwards lineage, and to understand the
steps leading up to warning and error messages. 'provDebugR' uses
provenance produced by 'rdtLite' (available on CRAN), stored in PROV-JSON format.
httr, jsonlite, provGraphR, provParseR, textutils,
knitr, rdtLite, rdt, rmarkdown, testthat
Orenna Brand [aut],
Elizabeth Fong [aut],
Barbara Lerner [cre],
Rose Sheehan [aut],
Joseph Wonsil [aut],
Emery Boose [aut]

Compare Provenance Collections to Explain Changed Script Outputs
c( person("Barbara", "Lerner", role = "cre",
email = "blerner@mtholyoke.edu"),
person("Emery", "Boose", role = "aut",
email = "boose@fas.harvard.edu"),
person("Khanh", "Ngo", role = "aut",
email = "ngo22k@mtholyoke.edu")
)
President and Fellows of Harvard College, Trustees of Mount
Holyoke College
Inspects provenance collected by the 'rdt' or 'rdtLite' packages,
or other tools providing compatible PROV JSON output created by
the execution of a script, and find differences between two provenance
collections. Factors under examination included the hardware and
software used to execute the script, versions of attached libraries,
use of global variables, modified inputs and outputs, and changes
in main and sourced scripts. Based on detected changes, 'provExplainR'
can be used to study how these factors affect the behavior of
the script and generate a promising diagnosis of the causes of different
script results. More information about 'rdtLite' and associated tools is available
at <https://github.com/End-to-end-provenance/> and Barbara Lerner,
Emery Boose, and Luis Perez (2018), Using Introspection to Collect
Provenance in R, Informatics, <doi:10.3390/informatics5010012>.
dplyr, provParseR (>= 0.1.2), diffobj, digest, stringr
Barbara Lerner [cre],
Emery Boose [aut],
Khanh Ngo [aut]