WS4J (WordNet Similarity for Java) measures semantic similarity/relatedness between words.
WUP
| machine /NN |
learning /VBG |
artificial/JJ |
- |
- |
intelligence/NN |
 |
- |
RES
| machine /NN |
learning /VBG |
artificial/JJ |
- |
- |
intelligence/NN |
 |
- |
JCN
| machine /NN |
learning /VBG |
artificial/JJ |
- |
- |
intelligence/NN |
 |
- |
LIN
| machine /NN |
learning /VBG |
artificial/JJ |
- |
- |
intelligence/NN |
 |
- |
LCH
| machine /NN |
learning /VBG |
artificial/JJ |
- |
- |
intelligence/NN |
 |
- |
PATH
| machine /NN |
learning /VBG |
artificial/JJ |
- |
- |
intelligence/NN |
 |
- |
LESK
| machine /NN |
learning /VBG |
artificial/JJ |
 |
 |
intelligence/NN |
 |
 |
HSO
| machine /NN |
learning /VBG |
artificial/JJ |
 |
 |
intelligence/NN |
 |
 |
Google App Engine Performance Settings:
- Frontend Instance Class: F2 (1200Hz, 256MB)
- Max Idle Instances: 1
- Min Pending Latency: 15.0s
WS4J demo is maintained by Hideki Shima.