501 search results - page 40 / 101 » Improving Language Models by Clustering Training Sentences |
ICML
2000
IEEE
14 years 9 days ago
2000
IEEE
This paper considers approaches which rerank the output of an existing probabilistic parser. The base parser produces a set of candidate parses for each input sentence, with assoc...
LREC
2008
13 years 9 months ago
2008
In current phrase-based Statistical Machine Translation systems, more training data is generally better than less. However, a larger data set eventually introduces a larger model ...
FINTAL
2006
13 years 11 months ago
2006
This paper investigates the combination of word-alignments computed with the competitive linking algorithm and well-established IBM models. New training methods for phrase-based st...
ACL
2009
13 years 5 months ago
2009
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
ACL
1996
13 years 9 months ago
1996
This paper describes a new statistical parser which is based on probabilities of dependencies between head-words in the parse tree. Standard bigram probability estimation techniqu...