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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def train_sentence_tokenizer(self: object, text: str):
 """ Train sentence tokenizer. """

        language_punkt_vars = PunktLanguageVars

        # Set punctuation
        if self.punctuation:
            if self.strict:
                language_punkt_vars.sent_end_chars = self.punctuation + self.strict_punctuation
            else:
                language_punkt_vars.sent_end_chars = self.punctuation

        # Set abbreviations
        trainer = PunktTrainer(text, language_punkt_vars)
        trainer.INCLUDE_ALL_COLLOCS = True
        trainer.INCLUDE_ABBREV_COLLOCS = True

        tokenizer = PunktSentenceTokenizer(trainer.get_params())

        if self.abbreviations:
            for abbreviation in self.abbreviations:
                tokenizer._params.abbrev_types.add(abbreviation)

        return tokenizer