Package 'sanketphonetictranslator'

Title: Phonetic Transliteration Between Hindi and English
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.
Authors: Sanket Gharat [aut, cre]
Maintainer: Sanket Gharat <[email protected]>
License: AGPL (>= 3)
Version: 0.1.0
Built: 2024-11-24 04:10:05 UTC
Source: https://github.com/cran/sanketphonetictranslator

Help Index


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

dataset

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)