The term "translation rule" is correct and can be used in written English.
It refers to a specific rule or guideline that helps in translating a sentence or phrase from one language to another. This rule can be applied to grammatical structures, word order, and usage of specific words or phrases. Example: One important translation rule in Spanish is that adjectives usually come after the noun, while in English they usually come before. For instance, "the red car" in English would be "el carro rojo" in Spanish, following this translation rule.
It is demonstrated that, in contrast with the Mróz translation rule, multilayer plasticity using the Prager translation rule results in the same prediction regardless of the number of surfaces in which the hardening part of the bilinear curve is discretized.
To accomplish this we define a translation rule that maps each five digit oncampus extension range into the corresponding ten digit range.
In this work we perform some numerical predictions for experiments similar to the ones performed in the literature using a multilayer kinematic hardening model which employs the associative Prager's translation rule.
Fig. 6 Example of the representation of a translation rule.
The difference between these differences is (a-c - b-c) = a-c - b-ce well-know ma-c - b-ca-c - b-cation rule.
Here the process nodes are the central nodes of PD maps, hence they are traversed and tested as to whether a translation rule has to be applied.
SAMT (Zollmann and Venugopal, 2006) introduces heuristics to create new non-constituent labels, but these heuristics introduce many complex labels and tend to add rarely-applicable rules to the translation grammar.
After the tokens are classified, we apply some translation rules (defined by LIBRAS specialists) to translate these tokens (or words) for a representation in gloss notation.
Translation rules are another number string conversion method Translation rules are called from dial-peers, so the conversion occurs after dial-peer matching.
In the third part, we introduce algorithmic translation rules encoding the resulting automata model into ISPL.
Hopefully this example gives you an idea of the power of translation rules.
