| W02-0504 | sentence would greatly assist the | vowel restoration | problem . That is , if we could |
| W02-0504 | trigram model for the task of | vowel restoration | , backing off to a bigram model |
| W02-0504 | statistically based approach for | vowel restoration | in Semitic languages . We wish |
| W02-0504 | a useful tool for the task of | vowel restoration | in Semitic languages . Our technique |
| W02-0504 | in morphological analysis and | vowel restoration | in Hebrew and in Arabic . Finally |
| W14-1307 | conditional markov models for the | vowel restoration | problem of Syriac . Nelken and |
| W14-1307 | consonants for the purpose of | vowel restoration | . For example , the short vowels |
| W14-1308 | deasciified form of the input . 4.2.5 | Vowel Restoration | There is a new trend of omitting |
| W02-0504 | context of the word . Methods for | vowel restoration | in previous work involving morphological |
| W14-1308 | often hap - pens . The aim of the | vowel restoration | is the generation of the original |
| W14-1307 | and 9 different class labels in | vowel restoration | ( one can refer to Section 3 |
| P06-1073 | . The algorithm for FST based | vowel restoration | could not be simpler : between |
| W14-1308 | detec - tion , deasciification , | vowel restoration | , accent normalization and spelling |
| W14-1308 | detection , deasci - ification , | vowel restoration | , accent normalization and spelling |
| W14-1307 | on ambiguous cases and for the | vowel restoration | by 45.77 percentage points over |
| W14-1308 | detection , deasciifica - tion , | vowel restoration | , accent normalization and spelling |
