zenodoopen
Trance parser model for Korean: Sejong treebank
<p>Trance parsing model + Embedding vector.</p> <p>See https://github.com/tarowatanabe/trance for the parser and its usage. We also provide parsing and learning scripts for the Trance parser that we used for the paper; </p> <p>1/ parsing model: ptb_train.txt.model-d100.tar.gz </p> <p>2/ embedding vector: embedding-d100.vec.gz</p> <p>3/ trance parser parsing script: trance-parsing.sh</p> <p>4/ trance parser (batch) learning script: trance-training-batch.sh</p> <p>5/ test.txt (gold file) and test.txt.leaf is for the parser input. </p> <p> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0