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N-gram Weighting: Reducing Training Data Mismatch in Cross-Domain Language Model Estimation
Reducing Training Data Mismatch Cross-Domain Language Model Estimation
2015/3/10
N-gram Weighting: Reducing Training Data Mismatch in Cross-Domain Language Model Estimation.
N-gram Weighting: Reducing Training Data Mismatch in Cross-Domain Language Model Estimation
N-gram Weighing Data Mismatch Cross-Domain Language Model
2014/11/27
In domains with insufficient matched training data, language models are often constructed by interpolating component models trained from partially matched corpora. Since the ngrams from such corpora m...