अर्थगत-भूमिका इसके अंग्रेजी अर्थ का उदाहरण

Case assignment for core participants behaves in a broadly split-intransitive manner, though actual assignment is very complex, involving semantic role, focus, relative animacy of the participants (first or second person versus third), and nature of the noun itself.

For instance, neural network architectures and learning algorithms that can be applied to various natural language processing tasks including part-of-speech tagging, chunking, named entity recognition, and semantic role labeling.

Person and number of both actor and undergoer are indicated on the verb, and these affixes may differ according to the semantic role of their referent.

For instance, the suffix -ka/-ga codes second person ("you"), regardless of the semantic role, while the suffix -m codes only (first and second person) agents, and the suffix -u only codes third person undergoer.