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IBERAMIA
2010
Springer
13 years 2 months ago
Improved Text Generation Using N-gram Statistics
Abstract. In Natural Language Generation (NLG) systems, a generalpurpose surface realisation module will usually require the underlying application to provide highly detailed input...
Eder Miranda de Novais, Thiago Dias Tadeu, Ivandr&...
EMNLP
2009
13 years 2 months ago
Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases
Untranslated words still constitute a major problem for Statistical Machine Translation (SMT), and current SMT systems are limited by the quantity of parallel training texts. Augm...
Yuval Marton, Chris Callison-Burch, Philip Resnik
EACL
2009
ACL Anthology
13 years 2 months ago
Improving Grammaticality in Statistical Sentence Generation: Introducing a Dependency Spanning Tree Algorithm with an Argument S
like text summarisation requires a means of producing novel summary sentences. In order to improve the grammaticality of the generated sentence, we model a global (sentence) level...
Stephen Wan, Mark Dras, Robert Dale, Cécile...
ICALT
2010
IEEE
13 years 5 months ago
Improve the Output from a MCQ Test Item Generator Using Statistical NLP
In this study I use statistical Natural Language Processing and adapted Controlled Language methods to preprocess individual documents before they are used as source documents for ...
Robert Michael Foster
NLE
2007
180views more  NLE 2007»
13 years 3 months ago
Segmentation and alignment of parallel text for statistical machine translation
We address the problem of extracting bilingual chunk pairs from parallel text to create training sets for statistical machine translation. We formulate the problem in terms of a s...
Yonggang Deng, Shankar Kumar, William Byrne