Sentence examples for word models from inspiring English sources

It is not uncommon for emotion word models to be based on a few researchers' judgment.

In fact, two word models are implemented based on the holistic and analytical approaches without any explicit segmentation.

If one considers only those models that were created strictly using the classification task, that is, without adapting word models, ensemble methods perform significantly better.

For continuous speech recognition, transitions between word models incurred an additional likelihood penalty of while calculating the most likely sequence of states.

While some scholars generated emotion word models from the Chinese lexicon per se, others based their models on the translation equivalents of the English emotion lexicon.

As with most automatic speech recognition systems (ASR), our architecture relies on a Hidden Markov Model (HMM) framework where the different word models are sequentially trained and the system has little prior knowledge.

Note the word "model" in the subtitle of Halper's book.

Christine Keeler - the word "model" in those days was a euphemism for call-girl - had disappeared to Spain.

As with existing translation business models, the pricing for translations is a per word model.

In short, the word "model" is transdisciplinary and has an open range of application.

A word-based ASR system for digit string recognition where each HMM word model has 16 emitting states is adopted.