tetun-tokenizer 0.0.4

Tetun tokenizer package

Project description

Tetun Tokenizer

Tetun tokenizer is a Python package for tokenizing a string (or a text) into tokens. There are several tokenization alternatives in the following.

1. Tokenize by word, punctuations, or special characters delimiters using TetunStandardTokenizer().
2. Tokenize by whitespace delimiter using TetunWhiteSpaceTokenizer().
3. Tokenize by blank lines as a delimiter using TetunBlankLineTokenizer().

It is also allowed us to tokenize a string (or a text) by:

1. Strings and numbers and ignore punctuations and special characters using TetunSimpleTokenizer().
2. Strings only and ignore numbers, punctuations, and special characters using TetunWordTokenizer().

Installation

To install Tetun tokenizer, run the following command:

python3 -m pip install tetun-tokenizer

or simply use:

pip install tetun-tokenizer

Usage

To use the Tetun tokenizer, from the tetuntokenizer package, import a specific tokenizer class and the tokenize function as follows:

1. Using TetunStandardTokenizer() to tokenize a string.

from tetuntokenizer.tokenizer import TetunStandardTokenizer

tetun_tokenizer = TetunStandardTokenizer()

string_text = "Ha'u, Gabriel de Jesus, ita-nia maluk di'ak. Ha'u iha $0.25 atu fó ba ita."
output = tetun_tokenizer.tokenize(string_text)
print(output)

The output will be:

["Ha'u", ',', 'Gabriel', 'de', 'Jesus', ',', 'ita-nia', 'maluk', "di'ak", '.', "Ha'u", 'iha', '$', '0.25', 'atu', 'fó', 'ba', 'ita', '.']

2. Using TetunWhiteSpaceTokenizer() to tokenize a string.

from tetuntokenizer.tokenizer import TetunWhiteSpaceTokenizer

tetun_tokenizer = TetunWhiteSpaceTokenizer()

string_text = "Ha'u, Gabriel de Jesus, ita-nia maluk di'ak. Ha'u iha $0.25 atu fó ba ita."
output = tetun_tokenizer.tokenize(string_text)
print(output)

The output will be:

["Ha'u,", 'Gabriel', 'de', 'Jesus,', 'ita-nia', 'maluk', "di'ak.", "Ha'u", 'iha', '$0.25', 'atu', 'fó', 'ba', 'ita.']

3. Using TetunBlankLineTokenizer() to tokenize a string.

from tetuntokenizer.tokenizer import TetunBlankLineTokenizer

tetun_tokenizer = TetunBlankLineTokenizer()

string = """
        Ha'u, Gabriel de Jesus, ita-nia maluk di'ak.
        Ha'u iha $0.25 atu fó ba ita.
        """
output = tetun_tokenizer.tokenize(string_text)
print(output)

The output will be:

["\n            Ha'u, Gabriel de Jesus, ita-nia maluk di'ak.\n            Ha'u iha $0.25 atu fó ba ita.\n            "]

4. Using TetunSimpleTokenizer() to tokenize a string.

from tetuntokenizer.tokenizer import TetunSimpleTokenizer

tetun_tokenizer = TetunSimpleTokenizer()

string_text = "Ha'u, Gabriel de Jesus, ita-nia maluk di'ak. Ha'u iha $0.25 atu fó ba ita."
output = tetun_tokenizer.tokenize(string_text)
print(output)

The output will be:

["Ha'u", 'Gabriel', 'de', 'Jesus', 'ita-nia', 'maluk', "di'ak", "Ha'u", 'iha', '0.25', 'atu', 'fó', 'ba', 'ita']

5. Using TetunWordTokenizer() to tokenize a string.

from tetuntokenizer.tokenizer import TetunWordTokenizer

tetun_tokenizer = TetunWordTokenizer()

string_text = "Ha'u, Gabriel de Jesus, ita-nia maluk di'ak. Ha'u iha $0.25 atu fó ba ita."
output = tetun_tokenizer.tokenize(string_text)
print(output)

The output will be:

["Ha'u", 'Gabriel', 'de', 'Jesus', 'ita-nia', 'maluk', "di'ak", "Ha'u", 'iha', 'atu', 'fó', 'ba', 'ita']

To print the resulting string to the console, with each element on a new line, you can use for loop or simply use join as follows:

print('\n'.join(output))

The output will be:

Ha'u
Gabriel
de
Jesus
ita-nia
maluk
di'ak
Ha'u
iha
atu
fó
ba
ita

You can also use the tokenizer to tokenize a text from a file. Here is an example:

# Assume that we use Path instead of a string for the file path
from pathlib import Path
from tetuntokenizer.tokenizer import TetunSimpleTokenizer


file_path = Path("myfile/example.txt")

try:
    with corpus_path.open('r', encoding='utf-8') as f:
    contents = [line.strip() for line in f]
except FileNotFoundError:
    print(f"File not found at: {corpus_path}")

# You can also lowercase the contents before tokenizing them.
lowercase_contents = contents.lower()

tetun_tokenizer = TetunSimpleTokenizer()

output = '\n'.join(tetun_tokenizer.tokenize(str(lowercase_contents)))
print(output)

There are a few more ways to read file contents that you can use to achieve the same output.