Sentence examples for frequent words from from inspiring English sources

To construct word language models for speech recognition we have to establish a vocabulary chosen as the most frequent words from the training text data.

The first group of recordings were frequent words from their daily activities from a vocabulary that was agreed with their caregivers and categorized in to the following six scenarios: 'street' (street, coin, house…), home (bed, sofa, table…), food (apple, meat, fork…), 'family' (father, mother, sister…), 'dressing' (trousers, jersey, coat…), and 'me' (cold, happy, hungry…).

Moreover, the use of penalized unknown word probabilities tends to increase the real probability of the targeted terms, which would be very low on OOV, with the recognition lexicon being built by collecting the most frequent words from the training corpus.

In the first set, Word Test A, less frequent words were used from the 2K, 3K, 5K, 10K bands; in Word Test B, more common words from the 1K-5K frequency bands were tested.

The vocabulary of our hybrid LM consists of frequent words and PMs from less frequent words.

When only frequent words and PMs from less frequent words are used, the size of the input vector of the reduced-hybrid RNNLM can be reduced by half when compared with the full-hybrid RNNLM which takes two input streams, both word and PM sequences.

Line drawings of objects representing concrete and frequent words were selected from the collection of Snodgrass and Vanderwart [35].

The basic concept behind the Apriori algorithm is the recursive identification of frequent word sets from which intra-sentential language patterns are then generated.

Again following standard best-practice, we remove the top 30 ranked words ('stop words') from the 5,000 most frequent words, and use the remaining 4,970 words in our classifier for maximum performance (we observe a 0.5% improvement).

In the first-pass decoding experiment discussed in Section 5.2, all PMs from less frequent words were included in the hybrid 3-gram model.

A hybrid LM (f-H) uses a hybrid lexicon which includes only the words that occur more than three times in the training data and the PMs from less frequent words.