Sentence examples for model statistical bigram from inspiring English sources

As the text corpus was gathered from downloaded articles, we carried out a careful post-processing to prepare the corpus for training the target language model (statistical bigram model of Spanish).

The linear chain CRF model with bigram mode was used, with the model trained using the limited memory BFGS algorithm.

Table 7 Phoneme recognition rates (correct % / accuracy %) for monophonic singing with no language model, unigram, bigram or trigram, using gender-adapted models.

Table 8 Phoneme recognition rates (correct / accuracy %) for vocal line extracted from polyphonic music, with no language model, unigram, bigram or trigram, using singing-adapted models.

The language model was a bigram scheme.

Based on the unigram model and the bigram model, an integrated impact learning algorithm is advised to estimate the impacts of keywords and nearby words respectively.

Silver's book uses the model of statistical interpretations.

We find that the logarithmic regression model outperforms the bigram frequency index in 95% of the cases and the linear model in 62% of the cases.

Wallach [12] proposed a combination of bigram and LDA models (the bigram topic model) and achieved a significant performance improvement on perplexity by exploring latent semantics following different context words.

Once the text has been processed, a bigram statistical language model is automatically created.

In this paper, a general framework for combining bigram and PLSA models was proposed.