Papers by Anna Zaretskaya
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts (2020.lrec-1)
Copied to clipboard
| Challenge: | Existing parallel corpora for patents and scientific texts are not available due to the need for correct alignment and human curation. |
| Approach: | They develop a parallel corpus from the open access Google Patents dataset . they use Hunalign algorithm to align sentences and tokens using the largest 22 languages . |
| Outcome: | The proposed corpus is available in TSV format and with a SQLite database, with complementary information regarding patent metadata. |