fast-mosestokenizer is a C++ implementation of the moses tokenizer which is a favourite among the folks in NLP research.
The reason for using this package over the original perl implementation is for the purpose of portability. With the C++ source code, you can use this library basically in every language.
The C++ script was adapted from the mosesdecoder repository
contrib/c++tokenizer.
fast-mosestokenizer is also fast.
On english, it is about 6x faster than tokenizer.perl and 15x faster than
sacremoses.
see ./bench/README.md for more information.
Python users using linux and osx>=10.15 can install directly from PyPI.
pip install fast-mosestokenizerSee ./INSTALL.md for more information.
# Piping is the standard way to configure input and output stream.
# mosestokenizer would apply tokenization to each line of the input stream.
mosestokenizer en < infile > outfile
# For a full list of options, refer to the help message.
mosestokenizer -h# Usage patterns are mostly the same as sacremoses.
>>> from mosestokenizer import MosesTokenizer
>>> tokenizer = MosesTokenizer('en')
>>> tokenizer.tokenize("""
The English name of Singapore is an anglicisation of the native Malay name for
the country, Singapura, which was in turn derived from the Sanskrit word for
lion city (romanised: Siṃhapura; Brahmi: 𑀲𑀺𑀁𑀳𑀧𑀼𑀭; literally "lion city"; siṃha
means "lion", pura means "city" or "fortress").[8]
""")
[
'The', 'English', 'name', 'of', 'Singapore', 'is', 'an', 'anglicisation',
'of', 'the', 'native', 'Malay', 'name', 'for', 'the', 'country', ',',
'Singapura', ',', 'which', 'was', 'in', 'turn', 'derived', 'from', 'the',
'Sanskrit', 'word', 'for', 'lion', 'city', '(', 'romanised', ':',
'Siṃhapura', ';', 'Brahmi', ':', '𑀲𑀺𑀁𑀳𑀧𑀼𑀭', ';', 'literally', '"', 'lion',
'city', '"', ';', 'siṃha', 'means', '"', 'lion', '"', ',', 'pura', 'means',
'"', 'city', '"', 'or', '"', 'fortress', '"', ')', '.', '[', '8', ']'
]