Title: | Phonetic Transliteration Between Hindi and English |
Version: | 0.1.0 |
Description: | Facilitate phonetic transliteration between different languages. With support for both Hindi and English, this package provides a way to convert text between Hindi and English dataset. Whether you're working with multilingual data or need to convert dataset for analysis or presentation purposes, it offers a simple and efficient solution and harness the power of phonetic transliteration in your projects with this versatile package. |
License: | AGPL (≥ 3) |
Encoding: | UTF-8 |
RoxygenNote: | 7.2.3 |
Imports: | Rcpp, readr, stringi, stringr, utils |
Type: | Package |
Depends: | R (≥ 2.10) |
Suggests: | knitr, rmarkdown |
VignetteBuilder: | knitr |
LazyData: | true |
NeedsCompilation: | no |
Packaged: | 2024-02-23 06:44:49 UTC; user |
Author: | Sanket Gharat |
Maintainer: | Sanket Gharat <sanketgharat234@gmail.com> |
Repository: | CRAN |
Date/Publication: | 2024-02-26 16:20:07 UTC |
Dataset Description
Description
This is a dataset used for demonstration purposes in the sanketphonetictranslator package.
Usage
data(dataset)
Format
A data frame with specific format
sanketphonetictranslator
Description
Facilitate phonetic transliteration between different languages. With support for both Hindi and English, this package provides a way to convert text between hindi and english dataset. Whether you're working with multilingual data or need to convert dataset for analysis or presentation purposes, it offers a simple and efficient solution. Harness the power of phonetic transliteration in your projects with this versatile package.
Usage
transliterate_dataset(dataset, direction)
Arguments
dataset |
= The name of dataset to be transliterated. |
direction |
= The direction of transliteration. Use "hindi2english" to transliterate from Hindi to English, or "english2hindi" to transliterate from English to Hindi. |
Details
sanketphonetictranslator
Value
A data frame with the transliterated text.
Author(s)
Sanket Gharat
See Also
Examples
# Load the dataset (assuming it's already loaded or available in your environment)
data <- dataset
# Transliterate the dataset from Hindi to English
translated_data <- transliterate_dataset(data, "hindi2english")
# View the first few rows of the translated dataset
head(translated_data)