A statistical approach to machine translation
Computational Linguistics
A maximum entropy approach to natural language processing
Computational Linguistics
Information retrieval as statistical translation
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Forest-based statistical sentence generation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Trainable methods for surface natural language generation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Japanese dependency structure analysis based on maximum entropy models
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Generation that exploits corpus-based statistical knowledge
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Two-level, many-paths generation
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Exploiting a probabilistic hierarchical model for generation
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Word order acquisition from corpora
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Reusing a statistical language model for generation
EWNLG '01 Proceedings of the 8th European workshop on Natural Language Generation - Volume 8
Learning to predict case markers in Japanese
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Multilingual aligned parallel treebank corpus reflecting contextual information and its applications
MLR '04 Proceedings of the Workshop on Multilingual Linguistic Ressources
Computer assisted writing system
Expert Systems with Applications: An International Journal
Sentence correction incorporating relative position and parse template language models
IEEE Transactions on Audio, Speech, and Language Processing
Intelligent computer assisted blog writing system
Expert Systems with Applications: An International Journal
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We describe a method for generating sentences from "keywords" or "headwords". This method consists of two main parts, candidate-text construction and evaluation. The construction part generates text sentences in the form of dependency trees by using complementary information to replace information that is missing because of a "knowledge gap" and other missing function words to generate natural text sentences based on a particular monolingual corpus. The evaluation part consists of a model for generating an appropriate text when given keywords. This model considers not only word n-gram information, but also dependency information between words. Furthermore, it considers both string information and morphological information.