void depth_featurizer::tree_tokenize(corpus::document& doc,
const parser::parse_tree& tree) const
{
height_visitor vtor;
auto rep = "depth-" + std::to_string(tree.visit(vtor));
doc.increment(rep, 1);
}
void depth_analyzer::tree_tokenize(corpus::document& doc,
const parse_tree& tree)
{
size_t h = parse_tree::height(tree);
std::string representation = std::to_string(h);
doc.increment(representation, 1);
}
void ngram_pos_analyzer::tokenize(corpus::document& doc)
{
// first, get tokens
stream_->set_content(get_content(doc));
std::vector<sequence::sequence> sentences;
sequence::sequence seq;
// put tokens into sequences, excluding sentence markers
while (*stream_)
{
auto next = stream_->next();
if (next.empty() || next == " " || next == "<s>")
continue;
if (next == "</s>")
sentences.emplace_back(std::move(seq));
else
seq.add_observation(
{sequence::symbol_t{next}, sequence::tag_t{"[unknown]"}});
}
auto tagger = crf_->make_tagger();
for (auto& seq : sentences)
{
// generate CRF features
seq_analyzer_.analyze(seq);
// POS-tag sentence
tagger.tag(seq);
// create ngrams
for (size_t i = n_value() - 1; i < seq.size(); ++i)
{
std::string combined = seq_analyzer_.tag(seq[i].label());
for (size_t j = 1; j < n_value(); ++j)
{
std::string next = seq_analyzer_.tag(seq[i - j].label());
combined = next + "_" + combined;
}
doc.increment(combined, 1);
}
}
}
