Name
Abstract | ||
|---|---|---|
We present an approach to obtain language models from a tree corpus using probabilistic regular tree grammars (prtg). Starting with a prtg only generating trees from the corpus, the prtg is generalized step by step by merging nonterminals. We focus on bottom-up deterministic prtg to simplify the calculations. |
Year | Venue | Field |
|---|---|---|
2015 | FSMNLP | Computer science,Tree grammars,Theoretical computer science,Artificial intelligence,Natural language processing,Probabilistic logic,Merge (version control),Language model |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
7 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Toni Dietze | 1 | 0 | 0.34 |
| Mark-jan Nederhof | 2 | 387 | 53.30 |