Not regarding the remarkable production capacity, but regarding “in regards to,” which should be “in regard to.” Even better, just say “regarding” or “about.” (For the record, “regards” with the “s” is correct in the phrase “as regards,” where “regard” is a verb.) In regard to the phrase “in regard to,” regard is a noun, and the singular - without the s - should always be used.
“n regards to the new well, the production capacity of this first large size production well is remarkable.” But leave out that preposition “on.” That might impact (affect) your business presentation.
But nowadays, you can use it to mean “to affect” (without any collisions). In a 2015 American Heritage Dictionary survey of language experts, 79% disapproved of using “impacts on” to mean “affect.” Another 39% disapproved of using “impact” to mean “affect” even without that preposition “on.” The original (and still most common) meaning of “impact” involves collisions. “They can clearly and simply explain what we have done and how it impacts on our interpretation of the data, ensuring our reports are understandable and actionable.” So leave “begs the question” where it technically belongs - in the realm of logic and law - and use the (correct) “raises the question” when that’s what you’re trying to say. In spite of popular thought, “begs the question” is not a smart-sounding way of saying “raises the question.” It’s actually a formal logic term that means trying to prove something based on a premise that itself needs to be proved. This begs the question as to whether Fidelity’s new funds incur any hidden costs or fees.” “Fidelity might have fired the last salvo by eliminating fees entirely. (We’ve omitted attributions to protect the well-meaning writers who unwittingly committed the errors) Here, excerpted from our new book, That Doesn’t Mean What You Think It Means, are nine terms or words that sound smart but when used incorrectly make you sound the opposite, along with real examples of their being misused, drawn from business news reports, research publications, and corporate press releases. Think it can’t happen to you? We’ve heard horror stories: people laughing behind a prominent CEO’s back for his not understanding the correct use of a business term a corporate lawyer saying “tenant” (a renter) instead of “tenet” (a belief) an employee toasting her supervisor as the “penultimate” leader (which doesn’t mean “ultimate” but instead means “next to last”). But if you make that kind of mistake, it sets you up for a question that no one wants clients, coworkers, or employers to begin asking: “Are you really that smart?” Sure, saying the wrong word (usually) isn’t a game-changer. Although they do this in an effort to sound intelligent and sophisticated, it backfires badly, because even one small slip-up can cause an audience to focus on only that, not the speaker’s ideas. To learn more, see the privacy policy.Many times, especially in business settings, people use words that they think they know - but don’t.
Please note that Related Words uses third party scripts (such as Google Analytics and advertisements) which use cookies.
Another word for understand code#
Special thanks to the contributors of the open-source code that was used to bring you this list of term themed words: Concept Net, WordNet, and is still lots of work to be done to get this to give consistently good results, but I think it's at the stage where it could be useful to people, which is why I released it. You will probably get some weird results every now and then - that's just the nature of the engine in its current state. related words - rather than just direct synonyms.Īs well as finding words related to other words, you can enter phrases and it should give you related words and phrases, so long as the phrase/sentence you entered isn't too long. These algorithms, and several more, are what allows Related Words to give you. Another algorithm crawls through Concept Net to find words which have some meaningful relationship with your query. The vectors of the words in your query are compared to a huge database of of pre-computed vectors to find similar words. One such algorithm uses word embedding to convert words into many dimensional vectors which represent their meanings. Related Words runs on several different algorithms which compete to get their results higher in the list.
0 kommentar(er)
