|
| 1 | +from stanza.utils.datasets.constituency import utils |
| 2 | + |
| 3 | +def read_psd_file(input_file): |
| 4 | + """ |
| 5 | + Convert the IcePaHC .psd file to text |
| 6 | +
|
| 7 | + Returns a list of sentences |
| 8 | + """ |
| 9 | + with open(input_file, encoding='utf-8') as file: |
| 10 | + lines = file.readlines() |
| 11 | + |
| 12 | + output_trees = [] |
| 13 | + current_tree = '' |
| 14 | + |
| 15 | + # Add the trees as parsed sentences to the output_trees list |
| 16 | + for line in lines: |
| 17 | + if line.startswith("(ROOT"): |
| 18 | + if current_tree: |
| 19 | + cleaned_tree = ' '.join(current_tree.split()) |
| 20 | + output_trees.append(cleaned_tree) |
| 21 | + current_tree = line |
| 22 | + else: |
| 23 | + current_tree += line |
| 24 | + |
| 25 | + # Can't forget the last tree |
| 26 | + if current_tree: |
| 27 | + cleaned_tree = ' '.join(current_tree.split()) |
| 28 | + output_trees.append(cleaned_tree.strip()) |
| 29 | + |
| 30 | + return output_trees |
| 31 | + |
| 32 | + |
| 33 | +def convert_icepahc_treebank(input_file, train_size=0.8, dev_size=0.1): |
| 34 | + |
| 35 | + trees = read_psd_file(input_file) |
| 36 | + |
| 37 | + print("Read %d trees" % len(trees)) |
| 38 | + train_trees, dev_trees, test_trees = utils.split_treebank(trees, train_size, dev_size) |
| 39 | + print("Split %d trees into %d train %d dev %d test" % (len(trees), len(train_trees), len(dev_trees), len(test_trees))) |
| 40 | + |
| 41 | + return train_trees, dev_trees, test_trees |
| 42 | + |
| 43 | + |
| 44 | +def main(): |
| 45 | + treebank = convert_icepahc_treebank("simpleicepahc24.psd") |
| 46 | + |
| 47 | +if __name__ == '__main__': |
| 48 | + main() |
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