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» Syntactically-informed models for comma prediction
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NAACL
2003
13 years 6 months ago
Comma Restoration Using Constituency Information
Automatic restoration of punctuation from unpunctuated text has application in improving the fluency and applicability of speech recognition systems. We explore the possibility t...
Stuart M. Shieber, Xiaopeng Tao
ICASSP
2009
IEEE
13 years 11 months ago
Syntactically-informed models for comma prediction
Providing punctuation in speech transcripts not only improves readability, but it also helps downstream text processing such as information extraction or machine translation. In t...
Benoît Favre, Dilek Z. Hakkani-Tür, Eli...
CICLING
2008
Springer
13 years 6 months ago
Semantic and Syntactic Features for Dutch Coreference Resolution
We investigate the effect of encoding additional semantic and syntactic information sources in a classification-based machine learning approach to the task of coreference resolutio...
Iris Hendrickx, Véronique Hoste, Walter Dae...
NIPS
2004
13 years 6 months ago
Using Random Forests in the Structured Language Model
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
Peng Xu, Frederick Jelinek
ACL
2008
13 years 6 months ago
Applying Morphology Generation Models to Machine Translation
We improve the quality of statistical machine translation (SMT) by applying models that predict word forms from their stems using extensive morphological and syntactic information...
Kristina Toutanova, Hisami Suzuki, Achim Ruopp