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73 lines
2.4 KiB
Python
73 lines
2.4 KiB
Python
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import Optional
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from nemo.collections.common.tokenizers.char_tokenizer import CharTokenizer
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__all__ = ['WordTokenizer']
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class WordTokenizer(CharTokenizer):
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"Tokenizes at word boundary"
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def __init__(
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self,
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vocab_file: str,
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mask_token: Optional[str] = None,
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bos_token: Optional[str] = None,
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eos_token: Optional[str] = None,
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pad_token: Optional[str] = None,
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sep_token: Optional[str] = None,
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cls_token: Optional[str] = None,
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unk_token: Optional[str] = None,
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):
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"""
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Args:
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vocab_file: path to file with vocabulary which consists
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of characters separated by \n
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mask_token: mask token
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bos_token: the beginning of sequence token
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eos_token: the end of sequence token. Usually equal to sep_token
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pad_token: token to use for padding
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sep_token: token used for separating sequences
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cls_token: class token. Usually equal to bos_token
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unk_token: token to use for unknown tokens
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"""
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super().__init__(
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vocab_file=vocab_file,
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mask_token=mask_token,
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bos_token=bos_token,
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eos_token=eos_token,
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pad_token=pad_token,
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unk_token=unk_token,
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sep_token=sep_token,
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cls_token=cls_token,
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)
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def text_to_tokens(self, text):
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token_candidates = text.strip().split()
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tokens = []
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for token in token_candidates:
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if token in self.vocab:
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tokens.append(token)
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else:
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tokens.append(self.unk_token)
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return tokens
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def ids_to_text(self, ids):
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ids_ = [id_ for id_ in ids if id_ not in self.special_tokens]
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return " ".join(self.ids_to_tokens(ids_))
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