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In this case, i-vector distribution for each language is modeled by a Gaussian distribution, here a full covariance matrix is shared across all languages.
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More recent visual recognition systems for sign language [30, 31] incorporate geometric and optical flow features and fully exploit the grammars for the respective sign languages being modelled.
Parsing and natural language processing is modeled in terms of suitably refined versions of the proof nets of linear logic.
The document is modeled using unigram language model, and they are independent between words.
Obviously if this is a general nomological fact, then learning one's native language cannot be modeled on the phrase book model.
The weighted summation corresponds to a soft estimation, which allows the coexistence of multiple contexts, e.g., speaker and language, each being modeled by a separate codebook.
A service component with different communication mechanisms and implementation languages can be modeled in SCA.
In the language modeling framework this has been modeled as relevance models.
The language model subgroups are modeling based on the multiple training subsets.
Statecharts and Petri nets are modelling languages which are powerful for describing behaviour but lack in providing proof concepts for complex and critical systems.
MML (Mathematical Modeling Language) is the declarative modeling language developed for JSim and used for composing models.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com