Name
Title | ||
|---|---|---|
SemanPhone: Combining Semantic and Phonetic Word Association in Verbal Learning Context. |
Abstract | ||
|---|---|---|
This paper proposes an effective way to discover and memorize new English vocabulary based on both semantic and phonetic associations. The method we proposed aims to automatically find out the most associated words of a given target word. The measurement of semantic association was achieved by calculating cosine similarity of two-word vectors, and the measurement of phonetic association was achieved by calculating the longest common subsequence of phonetic symbol strings of two words. Finally, the method was implemented as a web application.
|
Year | DOI | Venue |
|---|---|---|
2018 | 10.5555/3382225.3382443 | ASONAM '18: International Conference on Advances in Social Networks Analysis and Mining
Barcelona
Spain
August, 2018 |
Keywords | Field | DocType |
Word association, Semantic similarity, Phonetic similarity, WordNet, GloVe, Verbal learning | Semantic similarity,Longest common subsequence problem,Cosine similarity,Computer science,Symbol,Word Association,Natural language processing,Artificial intelligence,Web application,WordNet,Vocabulary,Machine learning | Conference |
ISBN | Citations | PageRank |
978-1-5386-6051-5 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiyan Lu | 1 | 0 | 0.34 |
| Panos A. Kostakos | 2 | 5 | 4.88 |
| Oussalah, M. | 3 | 18 | 2.74 |
| Susanna Pirttikangas | 4 | 169 | 23.63 |