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/*
* Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance
* with the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0/
*
* or in the "license" file accompanying this file. This file 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.
*/
package ai.djl.modality.nlp.preprocess;
import java.util.List;
import java.util.stream.Collectors;
/**
* {@code Tokenizer} interface provides the ability to break-down sentences into embeddable tokens.
*/
public interface Tokenizer extends TextProcessor {
/** {@inheritDoc} */
@Override
default List preprocess(List tokens) {
return tokens.stream()
.map(this::tokenize)
.flatMap(List::stream)
.collect(Collectors.toList());
}
/**
* Breaks down the given sentence into a list of tokens that can be represented by embeddings.
*
* @param sentence the sentence to tokenize
* @return a {@link List} of tokens
*/
List tokenize(String sentence);
/**
* Combines a list of tokens to form a sentence.
*
* @param tokens the {@link List} of tokens
* @return the sentence built from the given tokens
*/
String buildSentence(List tokens);
}