Automated postediting of documents
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Natural Language Processing: The Plnlp Approach
Natural Language Processing: The Plnlp Approach
Responding intelligently to unparsable inputs
Computational Linguistics
The experience of developing a large-scale natural language text processing system: CRITIQUE
ANLC '88 Proceedings of the second conference on Applied natural language processing
How to detect grammatical errors in a text without parsing it
EACL '87 Proceedings of the third conference on European chapter of the Association for Computational Linguistics
Recognizing syntactic errors in the writing of second language learners
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
The performance of a grammar checker with deviant language input
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 2
Detecting errors in English article usage by non-native speakers
Natural Language Engineering
Introduction to Information Retrieval
Introduction to Information Retrieval
The EPISTLE text-critiquing system
IBM Systems Journal
Using the web for language independent spellchecking and autocorrection
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Automated Grammatical Error Detection for Language Learners
Automated Grammatical Error Detection for Language Learners
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In this research we explore the possibility of using a large n-gram corpus (Google Books) to derive lexical transition probabilities from the frequency of word n-grams and then use them to check and suggest corrections in a target text without the need for grammar rules. We conduct several experiments in Spanish, although our conclusions also reach other languages since the procedure is corpus-driven. The paper reports on experiments involving different types of grammar errors, which are conducted to test different grammar-checking procedures, namely, spotting possible errors, deciding between different lexical possibilities and filling-in the blanks in a text.