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interpret (something) as (something)

To infer, assume, or believe that something has a particular meaning. Don't interpret this as some big rejection—he can't go because he's busy, that's all. You know Aunt Marie—she interprets everything as a slight.
See also: interpret

interpret for (someone)

1. To serve as a translator for someone, especially between people who speak different languages. A noun or pronoun can be used between "interpret" and "for." Leonard interpreted for me so that I could respond to the French reporters' questions. Can you interpret the French reporters' questions for me?
2. By extension, to help someone to make sense of or understand something confusing. A noun or pronoun can be used between "interpret" and "for." Hey, can you interpret Joe's email for me? I have no idea what he's talking about.
See also: interpret
Farlex Dictionary of Idioms. © 2015 Farlex, Inc, all rights reserved.

interpret for someone

to translate speech in a foreign language for someone. (Interpreting is done in real time.) Nina interpreted for Michael, since he understood very little Russian. Is there someone who can interpret for me?
See also: interpret

interpret something as something

to assume that something means something. Don't interpret what I just said as criticism. It will be interpreted as criticism no matter what you say.
See also: interpret

interpret something for someone

1. to translate a foreign language for someone. (Interpreting is done in real time.) Couldyou interpret the ambassador's address for me? Nina interpreted the director's greetings for the visitors.
2. to explain something unclear to someone. Let me interpret the instructions for you. The instructions have been interpreted for me by the manager.
See also: interpret
McGraw-Hill Dictionary of American Idioms and Phrasal Verbs. © 2002 by The McGraw-Hill Companies, Inc.
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References in periodicals archive ?
Its DL module connects to a pattern-generation module by leveraging the interpretability of the shallow models.
It's possible to balance the dichotomy between transparent machine learning models and more accurate, yet opaque, advanced ones with the following interpretability and explainability measures:
The main drawback of this approach is the poor interpretability of the computed PC value.
research on interpretability and fairness in machine learning.
A lot of efforts have been invested in increasing the interpretability of complex models.
The interpretability of the adapted fuzzy partitions can be verified using coverage, normality, and distinguishability properties [8].
The interpretability criteria with at least five items with significant loadings were considered to extract analyzable questions in each category of the KAP questions.
We used a principal components factor analysis (PCFA), with varimax rotation with Kaiser normalization, examining the correlation matrix (rotated to facilitate its interpretability) among food consumption variables and reducing it to a smaller set of dimensions.
Although the machine learning models are black boxes with little interpretability, they are general methods for model building and can be easily carried out.
More specifically, the objectives of this study are to (1) compare the interpretability of STRTs and MTRTs to predict FSD and RLCC of variable infection levels on water hyacinth plants and (2) compare the predictive performance of STRTs, MTRTs, and RF-MTRTs to predict FSD and RLCC of variable infection levels on water hyacinth plants.
Although similar mathematical models are used in both fields, modern machine learning algorithms prioritize prediction over inference, even if it is achieved at the cost of its interpretability [8].
Another question concerns transparency and interpretability of the technology that firms are banking on.
The Agree relation applies regardless of the feature's interpretability and "unifies two feature OCCURRENCES into two INSTANCES of one shared formal object" (Danon 2011: 307, capitals original).
When interpretability is important - for example, in many medical applications - you need a trained human in the decision-making loop.