Name
Abstract | ||
|---|---|---|
Most corpus-based lexical studies require considerable efforts in manually annotating grammatical relations in order to find the collocations of the target word in corpus data. In this paper, we claim that the current technique of natural language processing can facilitate lexical research by automating the annotation of these relations. We exploit the above technique and report an online open-resource for the comparison of lexical behaviors in cross-strait Chinese variations. The proposed resource is evaluated by juxtaposing the results with previous lexical research based on the same corpus data. The results show that our resource may provide more comprehensive and fine-grained grammatical collocation candidates in the case study. |
Year | Venue | Field |
|---|---|---|
2016 | CLSW | Yet another,Annotation,Computer science,Exploit,Artificial intelligence,Natural language processing,Sketch,Collocation |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
2 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meng-Hsien Shih | 1 | 0 | 0.68 |
| Shu-kai Hsieh | 2 | 47 | 21.47 |