Sentences with UTTERANCES
Check out our example sentences below to help you understand the context.Sentences
1
"His utterances were often filled with wisdom."
2
"She carefully chose her utterances during the press conference."
3
"The professor analyzed the utterances of the ancient text."
4
"The child's first utterances were simple babbling sounds."
5
"The politician's controversial utterances sparked widespread debate."
6
"Our goal is to study the patterns of speech utterances."
7
"The researchers transcribed and analyzed the recorded utterances."
8
"He is known for his mysterious utterances that leave people perplexed."
9
"His utterances of love made her heart race."
10
"The therapist carefully listened to the patient's utterances."
11
"The technology aims to translate and analyze speech utterances."
12
"Her utterances were always articulate and well-crafted."
13
"The teacher encouraged active participation and verbal utterances."
14
"The study observed the cultural differences in utterances between the two groups."
15
"His sarcastic utterances often offended those around him."
16
"She analyzed the prosody and intonation of the speaker's utterances."
17
"The linguist categorized the various types of utterances in the dataset."
18
"His utterances carried a sense of authority and confidence."
19
"The poet's beautiful utterances touched the hearts of many."
1
"His utterances were often incomprehensible due to a speech disorder."
2
"We analyzed the politician's utterances in search of hidden meaning."
3
"The linguist examined the child's early utterances to understand language acquisition."
4
"The teacher recorded the students' utterances during the class discussion."
5
"Her utterances were met with applause and admiration from the audience."
6
"The therapist encouraged the patient to practice their verbal utterances."
7
"The machine translated spoken utterances into written text."
8
"The poet's utterances conveyed deep emotions and vivid imagery."
9
"We studied the historical figure's recorded utterances for insights into their mindset."
10
"The machine learning model predicted the sentiment behind different utterances."