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/*
* Copyright (C) 2018 The Android Open Source Project
*
* 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.
*/
#include "annotator/vocab/vocab-annotator-impl.h"
#include "annotator/feature-processor.h"
#include "annotator/model_generated.h"
#include "utils/base/logging.h"
#include "utils/optional.h"
#include "utils/strings/numbers.h"
namespace libtextclassifier3 {
VocabAnnotator::VocabAnnotator(
std::unique_ptr<VocabLevelTable> vocab_level_table,
const std::vector<Locale>& triggering_locales,
const FeatureProcessor& feature_processor, const UniLib& unilib,
const VocabModel* model)
: vocab_level_table_(std::move(vocab_level_table)),
triggering_locales_(triggering_locales),
feature_processor_(feature_processor),
unilib_(unilib),
model_(model) {}
std::unique_ptr<VocabAnnotator> VocabAnnotator::Create(
const VocabModel* model, const FeatureProcessor& feature_processor,
const UniLib& unilib) {
std::unique_ptr<VocabLevelTable> vocab_lebel_table =
VocabLevelTable::Create(model);
if (vocab_lebel_table == nullptr) {
TC3_LOG(ERROR) << "Failed to create vocab level table.";
return nullptr;
}
std::vector<Locale> triggering_locales;
if (model->triggering_locales() &&
!ParseLocales(model->triggering_locales()->c_str(),
&triggering_locales)) {
TC3_LOG(ERROR) << "Could not parse model supported locales.";
return nullptr;
}
return std::unique_ptr<VocabAnnotator>(
new VocabAnnotator(std::move(vocab_lebel_table), triggering_locales,
feature_processor, unilib, model));
}
bool VocabAnnotator::Annotate(
const UnicodeText& context,
const std::vector<Locale> detected_text_language_tags,
bool trigger_on_beginner_words, std::vector<AnnotatedSpan>* results) const {
std::vector<Token> tokens = feature_processor_.Tokenize(context);
for (const Token& token : tokens) {
ClassificationResult classification_result;
CodepointSpan stripped_span;
bool found = ClassifyTextInternal(
context, {token.start, token.end}, detected_text_language_tags,
trigger_on_beginner_words, &classification_result, &stripped_span);
if (found) {
results->push_back(AnnotatedSpan{stripped_span, {classification_result}});
}
}
return true;
}
bool VocabAnnotator::ClassifyText(
const UnicodeText& context, CodepointSpan click,
const std::vector<Locale> detected_text_language_tags,
bool trigger_on_beginner_words, ClassificationResult* result) const {
CodepointSpan stripped_span;
return ClassifyTextInternal(context, click, detected_text_language_tags,
trigger_on_beginner_words, result,
&stripped_span);
}
bool VocabAnnotator::ClassifyTextInternal(
const UnicodeText& context, const CodepointSpan click,
const std::vector<Locale> detected_text_language_tags,
bool trigger_on_beginner_words, ClassificationResult* classification_result,
CodepointSpan* classified_span) const {
if (vocab_level_table_ == nullptr) {
return false;
}
if (!Locale::IsAnyLocaleSupported(detected_text_language_tags,
triggering_locales_,
/*default_value=*/false)) {
return false;
}
const CodepointSpan stripped_span =
feature_processor_.StripBoundaryCodepoints(context,
{click.first, click.second});
const UnicodeText stripped_token = UnicodeText::Substring(
context, stripped_span.first, stripped_span.second, /*do_copy=*/false);
const std::string lower_token =
unilib_.ToLowerText(stripped_token).ToUTF8String();
const Optional<LookupResult> result = vocab_level_table_->Lookup(lower_token);
if (!result.has_value()) {
return false;
}
if (result.value().do_not_trigger_in_upper_case &&
unilib_.IsUpper(*stripped_token.begin())) {
TC3_VLOG(INFO) << "Not trigger define: proper noun in upper case.";
return false;
}
if (result.value().beginner_level && !trigger_on_beginner_words) {
TC3_VLOG(INFO) << "Not trigger define: for beginner only.";
return false;
}
*classification_result =
ClassificationResult("dictionary", model_->target_classification_score(),
model_->priority_score());
*classified_span = stripped_span;
return true;
}
} // namespace libtextclassifier3
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