evaluate/metrics/bleu/tokenizer_13a.py

# Source: https://github.com/mjpost/sacrebleu/blob/master/sacrebleu/tokenizers/tokenizer_13a.py
# Copyright 2020 SacreBLEU Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import re
from functools import lru_cache


class BaseTokenizer:
    """A base dummy tokenizer to derive from."""

    def signature(self):
        """
        Returns a signature for the tokenizer.
        :return: signature string
        """
        return "none"

    def __call__(self, line):
        """
        Tokenizes an input line with the tokenizer.
        :param line: a segment to tokenize
        :return: the tokenized line
        """
        return line


class TokenizerRegexp(BaseTokenizer):
    def signature(self):
        return "re"

    def __init__(self):
        self._re = [
            # language-dependent part (assuming Western languages)
            (re.compile(r"([\{-\~\[-\` -\&\(-\+\:-\@\/])"), r" \1 "),
            # tokenize period and comma unless preceded by a digit
            (re.compile(r"([^0-9])([\.,])"), r"\1 \2 "),
            # tokenize period and comma unless followed by a digit
            (re.compile(r"([\.,])([^0-9])"), r" \1 \2"),
            # tokenize dash when preceded by a digit
            (re.compile(r"([0-9])(-)"), r"\1 \2 "),
            # one space only between words
            # NOTE: Doing this in Python (below) is faster
            # (re.compile(r'\s+'), r' '),
        ]

    @lru_cache(maxsize=2**16)
    def __call__(self, line):
        """Common post-processing tokenizer for `13a` and `zh` tokenizers.
        :param line: a segment to tokenize
        :return: the tokenized line
        """
        for (_re, repl) in self._re:
            line = _re.sub(repl, line)

        # no leading or trailing spaces, single space within words
        # return ' '.join(line.split())
        # This line is changed with regards to the original tokenizer (seen above) to return individual words
        return line.split()


class Tokenizer13a(BaseTokenizer):
    def signature(self):
        return "13a"

    def __init__(self):
        self._post_tokenizer = TokenizerRegexp()

    @lru_cache(maxsize=2**16)
    def __call__(self, line):
        """Tokenizes an input line using a relatively minimal tokenization
        that is however equivalent to mteval-v13a, used by WMT.

        :param line: a segment to tokenize
        :return: the tokenized line
        """

        # language-independent part:
        line = line.replace("<skipped>", "")
        line = line.replace("-\n", "")
        line = line.replace("\n", " ")

        if "&" in line:
            line = line.replace("&quot;", '"')
            line = line.replace("&amp;", "&")
            line = line.replace("&lt;", "<")
            line = line.replace("&gt;", ">")

        return self._post_tokenizer(f" {line} ")