Name
Abstract | ||
|---|---|---|
Feature-based Tree Adjoining Grammar(FB-LTAG) can handle linguistic characteristics and various syntactic phe- nomena of languages such as English, Korean, Chinese and so on. This paper suggests the sentence analysis method that is able to parse the coordination with FB-LTAG. The coordinate processing is based on dynamic constituent de- cision and feature unification. Furthermore, we built sev- eral linguistic resources including morphological DB, fea- ture DB and tree DB for feature unification and efficient parsing. According to experimental results, this approach offers qualitatively higher parsing accuracy than existing methods. |
Year | Venue | Keywords |
|---|---|---|
2003 | IC-AI | tree adjoining grammar |
Field | DocType | Citations |
Sentence segmentation,Computer science,Speech recognition,Natural language processing,Artificial intelligence | Conference | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sang Ok Koo | 1 | 14 | 4.25 |
| Ki Jun Son | 2 | 0 | 0.34 |
| Hae Jung Kim | 3 | 0 | 0.68 |
| Sangjo Lee | 4 | 110 | 19.15 |