tetun-tokenizer 1.1.3

Tetun tokenizer

Tetun Tokenizer

Tetun tokenizer is a Python package used to tokenize an input text into tokens. There are several tokenization techniques we built along with this package as follows:

1. TetunStandardTokenizer(): tokenize the input text by word, punctuations, and special characters.
2. TetunWhiteSpaceTokenizer(): tokenize the input text by whitespace delimiter.
3. TetunSentenceTokenizer(): tokenize the input text by period (.), question mark (?) and exclamation mark (!) delimiters.
4. TetunBlankLineTokenizer(): tokenize the input text by blank lines delimiter.
5. TetunSimpleTokenizer(): tokenize the input text by extracting only string and number and ignore punctuations and special characters.
6. TetunWordTokenizer(): tokenize the input text by extracting only string and ignore numbers, punctuations, and special characters.

Installation

To install Tetun tokenizer, run the following command in your console:

python3 -m pip install tetun-tokenizer

or simply run:

pip install tetun-tokenizer

It also supports conda and pipenv or similar commands.

Usage

To use Tetun tokenizer, from the tokenizer module on the tetuntokenizer package, import a tokenizer class. Instantiate the imported class and then call a tokenize function as follows:

1. Using TetunStandardTokenizer() to tokenize the input text.

from tetuntokenizer.tokenizer import TetunStandardTokenizer

tetun_tokenizer = TetunStandardTokenizer()

text = "Ha'u mak ita-nia maluk di'ak. Ha'u iha $0.25 atu fó ba ita."
output = tetun_tokenizer.tokenize(text)
print(output)

The output will be:

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

2. Using TetunWhiteSpaceTokenizer() to tokenize the input text.

from tetuntokenizer.tokenizer import TetunWhiteSpaceTokenizer

tetun_tokenizer = TetunWhiteSpaceTokenizer()

text = "Ha'u mak ita-nia maluk di'ak. Ha'u iha $0.25 atu fó ba ita."
output = tetun_tokenizer.tokenize(text)
print(output)

The output will be:

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

3. Using TetunSentenceTokenizer() to tokenize the input text.

from tetuntokenizer.tokenizer import TetunSentenceTokenizer

tetun_tokenizer = TetunSentenceTokenizer()

text = "Ha'u ema-ida ne'ebé baibain de'it. Tebes ga? Ita-nia maluk Dr. ka Ph.D sira hosi U.S.A mós dehan!"
output = tetun_tokenizer.tokenize(text)
print(output)

The output will be:

["Ha'u ema-ida ne'ebé baibain de'it.", 'Tebes ga?', 'Ita-nia maluk Dr. ka Ph.D sira hosi U.S.A mós dehan!']

4. Using TetunBlankLineTokenizer() to tokenize the input text.

from tetuntokenizer.tokenizer import TetunBlankLineTokenizer

tetun_tokenizer = TetunBlankLineTokenizer()

text = """
        Ha'u mak ita-nia maluk di'ak.
        Ha'u iha $0.25 atu fó ba ita.
        """
output = tetun_tokenizer.tokenize(text)
print(output)

The output will be:

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

5. Using TetunSimpleTokenizer() to tokenize a given text.

from tetuntokenizer.tokenizer import TetunSimpleTokenizer

tetun_tokenizer = TetunSimpleTokenizer()

text = "Ha'u mak ita-nia maluk di'ak. Ha'u iha $0.25 atu fó ba ita."
output = tetun_tokenizer.tokenize(text)
print(output)

The output will be:

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

6. Using TetunWordTokenizer() to tokenize the input text.

from tetuntokenizer.tokenizer import TetunWordTokenizer

tetun_tokenizer = TetunWordTokenizer()

text = "Ha'u mak ita-nia maluk di'ak. Ha'u iha $0.25 atu fó ba ita."
output = tetun_tokenizer.tokenize(text)
print(output)

The output will be:

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

To print the resulting output in 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
mak
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 file_path.open('r', encoding='utf-8') as f:
    contents = [line.strip() for line in f]
except FileNotFoundError:
    print(f"File not found at: {file_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)

The output will be:

ha'u
orgullu
dezenvolve
ha'u-nia
lian
tetun 
...

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

For the source code, visit the GitHub repository for this project.