Final answer:
Language measures in the Syntax/Morphology and Semantics sections of the SMR are calculated using statistical models, with computational methods akin to trial and error to identify relevant linguistic features.
Step-by-step explanation:
Language measures in the Syntax/Morphology and Semantics sections of the Structured Mean Representation (SMR) are calculated using statistical models. Syntax refers to the manner by which words are organized into sentences, while morphology deals with the structure of words and how they are formed. Semantics, on the other hand, is focused on the meaning of words and phrases. In computational linguistic analysis, these elements can be evaluated using complex algorithms, often aided by automated scoring systems and statistical models.
These techniques can involve machine learning approaches such as decision trees which have been used in similar data-driven analyses. Automated computational methods in linguistics, including those used for SMR analysis typically involve a process akin to trial and error, where various computational models are tested and iterated upon to provide the most accurate results. This iterative process, which is guided by the principles of machine learning, enables the discovery of the most relevant features or patterns within the linguistic data.