Your English writing platform
Discover LudwigSuggestions(5)
"semantic ambiguity" is a correct term that can be used in written English.
It refers to when a word, phrase, or sentence has multiple possible meanings or interpretations due to its semantic structure. You can use "semantic ambiguity" when discussing language, communication, or interpretation. For example: - The advertisement's slogan had a lot of semantic ambiguity, which made it difficult for customers to understand the product's purpose. - The statement was intentionally written with semantic ambiguity, causing confusion and allowing the speaker to backtrack on their words. - In her research, the linguist explored the use of semantic ambiguity in poetry and how it adds depth and complexity to the meaning. - The misunderstanding between the two parties was due to the semantic ambiguity in the contract's wording. - A common mistake in writing is unintentionally creating semantic ambiguity, leading to misinterpretation and confusion for the reader.
Exact(22)
He didn't care for metaphors: "They replace genuine uncertainty about the world with semantic ambiguity.
In addition to this grammatical ambiguity, "no" also sometimes suffers from semantic ambiguity — which is odd, considering that we regard it as absolute.
We investigate the implications of different types of semantic ambiguity for connectionist models of word recognition.
The semantic ambiguity can be alleviated by using a domain ontology.
On the epistemological problems and semantic ambiguity of "conduct disorder"; 2.
Therefore, we propose a framework to search engineering documents with less semantic ambiguity and more focus on each engineer's personalized information needs.
Similar(38)
In this paper, we extend P3P to be suitable for composite services and propose a formal semantics for P3P using OWL to facilitate reasoning about semantic ambiguities in P3P policies.
Because of the semantic ambiguities involved in free-text indexing, however, the precision of the key-word retrieval technique that is, the percentage of relevant documents correctly retrieved from a collection is far from ideal, and various modifications have been introduced to improve it.
In this way, semantic ambiguities are accounted for.
These components collaborate to integrate heterogeneous data devoid of semantic ambiguities, thereby improving workflows' coherence and efficiency.
Still, semantic ambiguities between intention and planning may make the measurement domains of these proposed constructs similar even if the two constructs are conceptually different.
More suggestions(3)
Write better and faster with AI suggestions while staying true to your unique style.
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
CEO of Professional Science Editing for Scientists @ prosciediting.com