Name
Abstract | ||
|---|---|---|
Aiming at the characteristics of Naxi language, a method is proposed for Naxi sentence similarity calculation. First, according to the characteristics of Naxi language that verbs set back, and nouns and verbs appear in chunks. Naxi NP and VP chunks are defined and chunk rule is extracted. According to the rules of the Naxi sentence chunking, extracts NP and VP chunks as so on. Then, by using the Naxi-Chinese dictionary, Naxi word is mapped to the Chinese word. By using the Chinese word similarity, Naxi words semantic similarity is calculated. Similarity of chunks is calculated by the combination of Chinese word similarity. Chunks similarity is defined as the replacement cost of chunk that edits operation, and Naxi sentence similarity is computed according to replacement cost. Finally, experiment is done to calculate Naxi sentence similarity. Experimental result shows that proposed method is better than other methods, and chunk exchange method can effectively improve the accuracy of the Naxi sentence similarity. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1504/IJWMC.2014.058872 | IJWMC |
Keywords | Field | DocType |
semantic similarity,naxi language,improved chunking edit-distance,chunks similarity,vp chunk,chinese word similarity,naxi sentence similarity,naxi sentence chunk,naxi np,naxi word,naxi sentence similarity calculation,edit distance | Semantic similarity,Edit distance,Computer science,Noun,Sentence similarity,Speech recognition,Natural language processing,Artificial intelligence,Chunking (psychology),Naxi,Sentence | Journal |
Volume | Issue | Citations |
7 | 1 | 0 |
PageRank | References | Authors |
0.34 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huihui Zhang | 1 | 0 | 0.34 |
| Zhengtao Yu | 2 | 460 | 69.08 |
| Longhua Shen | 3 | 0 | 0.68 |
| Jianyi Guo | 4 | 20 | 10.99 |
| Xudong Hong | 5 | 6 | 3.53 |