Foundations of statistical natural language processing
Foundations of statistical natural language processing
A retrospective look at Greenstone: lessons from the first decade
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
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We use digital library technology to help language learners express themselves by capitalizing on the humangenerated text available on the Web. From a massive collection of n-grams and their occurrence frequencies we extract sequences that begin with the word "I", sequences that begin a question, and sequences containing statistically significant collocations. These are preprocessed, filtered, and organized as a digital library collection using the Greenstone software. Users can search the collection to see how particular words are typically used and browse by syntactic class. The digital library is richly interconnected to other resources. It includes links to external vocabularies and thesauri so that users can retrieve words related to any term of interest, and links the collection to the web by locating sample sentences containing these patterns and presenting them to the user. We have conducted an evaluation of how useful the system is in helping students, and the impact it has on their writing. Finally, language activities generated from the digital library content have been designed to help learners master important emotion related vocabulary and expressions. We predict that the application of digital library technology to assist language students will revolutionize second language learning.