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Code-mixing is a thematically related term, but the usage of the terms code-switching and code-mixing varies. Some scholars use either term to denote the same practice, while others apply code-mixing to denote the formal linguistic properties of language-contact phenomena and code-switching to denote the actual, spoken usages by multilingual ...
Mixture of experts (MoE) is a machine learning technique where multiple expert networks (learners) are used to divide a problem space into homogeneous regions. [1] MoE represents a form of ensemble learning.
More recent studies argue that this early code-mixing is a demonstration of a developing ability to code-switch in socially appropriate ways. [5] For young bilingual children, code-mixing may be dependent on the linguistic context, cognitive task demands, and interlocutor. Code-mixing may also function to fill gaps in their lexical knowledge.
The markedness model (sociolinguistic theory) proposed by Carol Myers-Scotton is one account of the social indexical motivation for code-switching. [1] The model holds that speakers use language choices to index rights and obligations (RO) sets, the abstract social codes in operation between participants in a given interaction.
1 Code-switching in literature. 2 comments. 2 AAVE as "register shift" 4 comments. 3 Mechanics of Code switching. 1 comment. 4 Examples of code-switching. 2 comments.
The plain transformer architecture had difficulty converging. In the original paper [1] the authors recommended using learning rate warmup. That is, the learning rate should linearly scale up from 0 to maximal value for the first part of the training (usually recommended to be 2% of the total number of training steps), before decaying again.
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Mixing weights for constructing the observed signals from the components can be placed in an matrix. An important thing to consider is that if N {\textstyle N} sources are present, at least N {\textstyle N} observations (e.g. microphones if the observed signal is audio) are needed to recover the original signals.