| """Full-corpus unique word count. Streams parquet batches into a set. |
| |
| ponytail: lowercased surface forms (Polish is heavily inflected, so this is |
| 'distinct word forms', not lemmas). Counts total words too. |
| """ |
| import re |
| import pyarrow.parquet as pq |
|
|
| SOURCES = ["eurlex", "parliamentary", "wikisource", "wikipedia", |
| "dziennik_ustaw", "wolne_lektury"] |
| WORD = re.compile(r"[^\W\d_]+", re.UNICODE) |
|
|
| total_vocab = set() |
| total_words = 0 |
| print(f"{'source':<16} {'words':>14} {'uniq forms':>13}") |
| for s in SOURCES: |
| pf = pq.ParquetFile(f"data/{s}/{s}.parquet") |
| src_vocab = set() |
| src_words = 0 |
| for batch in pf.iter_batches(columns=["text"], batch_size=2000): |
| for t in batch.column("text").to_pylist(): |
| if not t: |
| continue |
| w = WORD.findall(t.lower()) |
| src_words += len(w) |
| src_vocab.update(w) |
| total_words += src_words |
| total_vocab |= src_vocab |
| print(f"{s:<16} {src_words:>14,} {len(src_vocab):>13,}", flush=True) |
|
|
| print(f"\n{'TOTAL (deduped)':<16} {total_words:>14,} {len(total_vocab):>13,}") |
| print(f"type/token ratio: {len(total_vocab)/total_words:.5f}") |
|
|
