Augmented phrase structure grammars
TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing
The ups and downs of preposition error detection in ESL writing
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Helping our own: text massaging for computational linguistics as a new shared task
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
Exploring the data-driven prediction of prepositions in English
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Helping our own: the HOO 2011 pilot shared task
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
May I check the English of your paper!!!
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Data-driven correction of function words in non-native English
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
HOO 2012: a report on the preposition and determiner error correction shared task
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP
| Hi-index | 0.00 |
This paper reports on our work in the HOO 2012 shared task. The task is to automatically detect, recognize and correct the errors in the use of prepositions and determiners in a set of given test documents in English. For that, we have developed a hybrid system of an n-gram statistical model along with some rule-based techniques. The system has been trained on the HOO shared task's training datasets and run on the test set given. We have submitted one run, which has demonstrated an F-score of 7.1, 6.46 and 2.58 for detection, recognition and correction respectively before revision and F-score of 8.22, 7.59 and 3.16 for detection, recognition and correction respectively after revision.