Comparison of Syllabification Algorithms
The top 1000 words in English (minus "square" and "closes"),
were used to construct a table comparing the nlp-syllables and
hypher tools for separating words into their syllables. In correct syllabifications are flagged with a red
background. And the summary above the table indicates the accuracy (correct syllabifcations / count * 100);
- word
- The word to be separated into its syllables
- dictionary
- The syllabified form of the word as sorced from Google Define (Oxford American Dictionary) and Merriam-Webster
- nlp-syllables
- The syllabification result from the nlp-syllables tool
- hypher
- The syllabification result from the hypher tool
- hyphenator
- The syllabification result from the hyphenator tool
- hy-phen
- The syllabification result from the hy-phen tool
Results
Summary
| Library |
Accuracy |
Time |
| nlp-syllables |
|
|
| hypher |
|
|
| hyphenator |
|
|
| hy-phen |
|
|
Comparison
| word |
dictionary |
nlp-syllables |
hypher |
hyphenator |
hy-phen |