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Get to know Tensionsbloomberg better with 2 real example sentences.

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Tensionsbloomberg in a sentence

Context around Tensionsbloomberg

  • Average sentence length in these examples: 10 words
  • Position in the sentence: 0 start, 0 middle, 2 end
  • Sentence types: 2 statements, 0 questions, 0 exclamations

Corpus analysis for Tensionsbloomberg

  • In this selection, "tensionsbloomberg" usually appears near the end of the sentence. The average example has 10 words, and this corpus slice is mostly made up of statements.
  • Around the word, israel and aukus stand out and add context to how "tensionsbloomberg" is used.
  • Recognizable usage signals include amid aukus tensionsbloomberg and turkey israel tensionsbloomberg. That gives this page its own corpus information beyond isolated example sentences.
  • By corpus frequency, "tensionsbloomberg" sits close to words such as aabc, aacr and aacsb, which helps place it inside the broader word index.

Example types with tensionsbloomberg

The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:

Erdogan, Netanyahu Plan Meeting to Ease Turkey-Israel Tensionsbloomberg. (9 words)

New Zealand’s Luxon Invited to Visit China Amid Aukus Tensionsbloomberg. (11 words)

New Zealand’s Luxon Invited to Visit China Amid Aukus Tensionsbloomberg. (11 words)

Erdogan, Netanyahu Plan Meeting to Ease Turkey-Israel Tensionsbloomberg. (9 words)

Example sentences (2)

Erdogan, Netanyahu Plan Meeting to Ease Turkey-Israel Tensionsbloomberg.

New Zealand’s Luxon Invited to Visit China Amid Aukus Tensionsbloomberg.

Frequently asked questions

How do you use "tensionsbloomberg" in a sentence?
An example: "Erdogan, Netanyahu Plan Meeting to Ease Turkey-Israel Tensionsbloomberg." This page contains 2 example sentences with the word "tensionsbloomberg" from authentic English texts.
How many example sentences with "tensionsbloomberg" are there?
Voorbeeldzinnen.info contains 2 example sentences with "tensionsbloomberg", drawn from a database of millions of English sentences.