Type:	Package
Title:	Google's Compact Language Detector 3
Version:	1.6.1
Description:	Google's Compact Language Detector 3 is a neural network model for language identification and the successor of 'cld2' (available from CRAN). The algorithm is still experimental and takes a novel approach to language detection with different properties and outcomes. It can be useful to combine this with the Bayesian classifier results from 'cld2'. See https://github.com/google/cld3#readme for more information.
License:	Apache License 2.0
Encoding:	UTF-8
URL:	https://docs.ropensci.org/cld3/ https://ropensci.r-universe.dev/cld3
BugReports:	https://github.com/ropensci/cld3/issues
Imports:	Rcpp
LinkingTo:	Rcpp
RoxygenNote:	6.0.1.9000
SystemRequirements:	libprotobuf and protobuf-compiler
Suggests:	testthat, cld2
NeedsCompilation:	yes
Packaged:	2024-10-03 14:12:28 UTC; jeroen
Author:	Jeroen Ooms [aut, cre], Google Inc [cph] (CLD3 C++ library)
Maintainer:	Jeroen Ooms <jeroenooms@gmail.com>
Repository:	CRAN
Date/Publication:	2024-10-04 15:30:02 UTC

Compact Language Detector 3

Description

The function detect_language() is vectorised and guesses the the language of each string in text or returns NA if the language could not reliably be determined. The function detect_language_multi() is not vectorised and detects all languages inside the entire character vector as a whole.

Usage

detect_language(text)

detect_language_mixed(text, size = 3)

Arguments

Examples

# Vectorized best guess
text <- c("To be or not to be?", "Ce n'est pas grave.",
  "Hij heeft de klok horen luiden maar weet niet waar de klepel hangt.")
detect_language(text)

# Multiple languages in one text (doesn't seem to work well)
detect_language_mixed(text)