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ACL
1993
13 years 8 months ago
Towards History-Based Grammars: Using Richer Models for Probabilistic Parsing
We describe a generative probabilistic model of natural language, which we call HBG, that takes advantage of detailed linguistic information to resolve ambiguity. HBG incorporates...
Ezra Black, Frederick Jelinek, John D. Lafferty, D...
ACL
2006
13 years 9 months ago
Reduced n-gram Models for English and Chinese Corpora
Statistical language models should improve as the size of the n-grams increases from 3 to 5 or higher. However, the number of parameters and calculations, and the storage requirem...
Le Quan Ha, Philip Hanna, Darryl Stewart, F. Jack ...
ACL
1998
13 years 8 months ago
An Estimate of Referent of Noun Phrases in Japanese Sentences
In machine translation and man-machine dialogue, it is important to clarify referents of noun phrases. We present a method for determining the referents of noun phrases in Japanes...
Masaki Murata, Makoto Nagao
ACL
1997
13 years 8 months ago
Deriving Verbal and Compositional Lexical Aspect for NLP Applications
Verbal and compositional lexical aspect provide the underlying temporal structure of events. Knowledge of lexical aspect, e.g., (a)telicity, is therefore required for interpreting...
Bonnie J. Dorr, Mari Broman Olsen
ACL
1997
13 years 8 months ago
Fertility Models for Statistical Natural Language Understanding
Several recent efforts in statistical natural language understanding (NLU) have focused on generating clumps of English words from semantic meaning concepts (Miller et al., 1995; ...
Stephen Della Pietra, Mark Epstein, Salim Roukos, ...