# coding=utf-8 # Copyright 2022 The Google Research 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. """Library containing Tokenizer definitions. The RougeScorer class can be instantiated with the tokenizers defined here. New tokenizers can be defined by creating a subclass of the Tokenizer abstract class and overriding the tokenize() method. """ import abc from nltk.stem import porter from rouge import tokenize class Tokenizer(abc.ABC): """Abstract base class for a tokenizer. Subclasses of Tokenizer must implement the tokenize() method. """ @abc.abstractmethod def tokenize(self, text): raise NotImplementedError("Tokenizer must override tokenize() method") class DefaultTokenizer(Tokenizer): """Default tokenizer which tokenizes on whitespace.""" def __init__(self, use_stemmer=False): """Constructor for DefaultTokenizer. Args: use_stemmer: boolean, indicating whether Porter stemmer should be used to strip word suffixes to improve matching. """ self._stemmer = porter.PorterStemmer() if use_stemmer else None def tokenize(self, text): return tokenize.tokenize(text, self._stemmer)