Used and loved by millions

Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

MitStanfordHarvardAustralian Nationa UniversityNanyangOxford

semantic error

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "semantic error" is correct and usable in written English. You can use it when referring to a mistake in meaning or interpretation in language or programming. For example, "The code produced a semantic error because the variable was used incorrectly." Alternative expressions include "meaning error" and "interpretation error."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

9 human-written examples

My semantic error, however, in a column titled "Toxic Bailout," was in writing: "A headwind is one that is blowing in your face.

Viewers watching the interview at home were also quick to point out the semantic error: He refers to "coloured" people!

News & Media

Independent

Apparently, a jail somewhere was refusing to release a defendant because of what Mr. Judelson saw as a semantic error in the paperwork.

News & Media

The New York Times

Semantic and semantic error: Implicit access to semantic information from words and nonwords in deep dyslexia.

Substituting the former object in the context of the latter situation would be erroneous in other words, one unfamiliar with the story of Thor would be making a semantic error when bringing the household tool to mind while reading about the Demigod's weapon of choice.

Any comprehension error is a semantic error.

Science

Brain
Show more...

Human-verified similar examples from authoritative sources

Similar Expressions

51 human-written examples

Detecting semantic errors in a text is still a challenging area of investigation.

The novel consistency attributes detect semantic errors using information extraction and logic reasoning.

We found that the students who used ALVIS Live! developed algorithms with significantly fewer semantic errors.

For each type of model, morphologic, syntactic, and semantic errors are characterized.

In unimpaired speakers, semantic errors have been shown to be affected by syntactic variables.

Science

Cortex
Show more...

Expert writing Tips

Best practice

When discussing language or code, use "semantic error" to clearly indicate a mistake in the meaning or interpretation, rather than a simple syntax problem. Be precise in differentiating between the two.

Common error

Avoid using "semantic error" when the problem is actually a syntax error. Syntax refers to the structure of language or code, while semantics refers to its meaning. A syntax error prevents the code from running or the sentence from being understood grammatically, while a "semantic error" results in unintended behavior or misinterpretation despite correct syntax.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "semantic error" functions primarily as a noun phrase, identifying a specific type of error related to meaning. Ludwig AI indicates its use in describing mistakes in both language and programming. Examples show it highlighting errors that lead to misinterpretation or unintended consequences.

Expression frequency: Uncommon

Frequent in

Science

70%

News & Media

30%

Formal & Business

0%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "semantic error" is a grammatically sound noun phrase used to describe a mistake in meaning or interpretation, particularly in the contexts of programming and language. Ludwig AI reports that while it is not exceptionally common, its presence in reputable sources like The New York Times and scientific publications confirms its established use. When using the term, ensure you're referring to an error in meaning, rather than a structural (syntactic) error. Alternatives include "meaning error" and "interpretation error", and the specific term to choose will likely depend on the nuance you're trying to convey.

FAQs

How is "semantic error" used in the context of computer programming?

In computer programming, a "semantic error" occurs when the code is syntactically correct but does not produce the intended result due to a mistake in the meaning or logic of the program. This is different from a syntax error, where the code violates the rules of the programming language.

What's the difference between a "semantic error" and a syntax error?

A syntax error violates the grammatical rules of a language (like misspelling a keyword), preventing compilation or execution. A "semantic error", on the other hand, arises when the code or language is grammatically correct, but the meaning is not what was intended, leading to unexpected behavior or misinterpretation.

Can you provide an example of a "semantic error" in natural language?

A "semantic error" in natural language might involve using a word incorrectly in a sentence, such that the sentence is grammatically correct but makes no sense or conveys the wrong meaning. For example, saying "The rock barked loudly" is a semantic error because rocks cannot bark, even though the sentence structure is correct.

What are some alternative ways to refer to a "semantic error"?

Depending on the context, you could use alternatives like "meaning error", "interpretation error", or "conceptual mistake" to describe a "semantic error". The best choice depends on the specific nuance you want to convey.

ChatGPT power + Grammarly precisionChatGPT power + Grammarly precision
ChatGPT + Grammarly

Editing plus AI, all in one place.

Stop switching between tools. Your AI writing partner for everything—polishing proposals, crafting emails, finding the right tone.

Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: