501 search results - page 40 / 101 » Improving Language Models by Clustering Training Sentences |
152
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ICML
2000
IEEE
15 years 10 months 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...
161
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LREC
2008
15 years 7 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 ...
147
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FINTAL
2006
15 years 9 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...
196
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ACL
2009
15 years 3 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...
163
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ACL
1996
15 years 7 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...