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Compound verbs, a highly visible feature of Hindi–Urdu grammar, consist of a verbal stem plus a light verb. The light verb (also called "subsidiary", "explicator verb", and "vector" [ 55 ] ) loses its own independent meaning and instead "lends a certain shade of meaning" [ 56 ] to the main or stem verb, which "comprises the lexical core of ...
In linguistics, a redundancy is information that is expressed more than once. [ 1 ] [ 2 ] Examples of redundancies include multiple agreement features in morphology , [ 1 ] multiple features distinguishing phonemes in phonology , [ 2 ] or the use of multiple words to express a single idea in rhetoric . [ 1 ]
Hindustani is extremely rich in complex verbs formed by the combinations of noun/adjective and a verb. Complex verbs are of two types: transitive and intransitive. [3]The transitive verbs are obtained by combining nouns/adjectives with verbs such as karnā 'to do', lenā 'to take', denā 'to give', jītnā 'to win' etc.
Hindi-Urdu, also known as Hindustani, has three noun cases (nominative, oblique, and vocative) [1] [2] and five pronoun cases (nominative, accusative, dative, genitive, and oblique). The oblique case in pronouns has three subdivisions: Regular, Ergative , and Genitive .
The most common network type in which backhaul is implemented is a mobile network. A backhaul of a mobile network, also referred to as a mobile-backhaul connects a cell site towards the core network. The two main methods of mobile backhaul implementations are fiber-based backhaul and wireless point-to-point backhaul. [2]
In computer networking, link aggregation is the combining (aggregating) of multiple network connections in parallel by any of several methods. Link aggregation increases total throughput beyond what a single connection could sustain, and provides redundancy where all but one of the physical links may fail without losing connectivity.
The redundancy in network is calculated by summing up this product across all nodes q. One minus this expression expresses the non-redundant portion of relationship. Effective size of i’s network is defined as a sum of the j’s nonredundant contacts.