Grammatical category disambiguation by statistical optimization
Computational Linguistics
A Cache-Based Natural Language Model for Speech Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A stochastic parts program and noun phrase parser for unrestricted text
ANLC '88 Proceedings of the second conference on Applied natural language processing
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Constrained Sequence Classification for Lexical Disambiguation
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Normalizing SMS: are two metaphors better than one?
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Rewriting the orthography of sms messages
Natural Language Engineering
Statistical unicodification of African languages
Language Resources and Evaluation
| Hi-index | 0.00 |
Automatic Accent Insertion (AAI) is the problem of re-inserting accents (diacritics) into a text where they are missing. Unaccented French texts are still quite common in electronic media, as a result of a long history of character encoding problems and the lack of well-established conventions for typing accented characters on computer keyboards. An AAI method for French is presented, based on a statistical language model. Next, it is shown how this AAI method can be used to do real-time accent insertions within a word processing environment, making it possible to type in French without having to type accents. Various mechanisms are proposed to improve the performance of real-time AAI, by exploiting online corrections made by the user. Experiments show that, on average, such a system produces less than one accentuation error for every 200 words typed.