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Sentences with SENSE-TAGGER

Check out our example sentences below to help you understand the context.

Sentences

1
"The sense tagger accurately identifies the part of speech in a sentence."
2
"I'm using a sense tagger to assist with my natural language processing project."
3
"The sense tagger is a crucial component of many language processing applications."
4
"Researchers are developing more advanced sense taggers for improved accuracy."
5
"The sense tagger helps disambiguate the meaning of words in a sentence."
6
"Using a sense tagger can enhance the performance of a text classification system."
7
"Linguists rely on sense taggers to analyze and categorize language data."
8
"The sense tagger assigns a specific code or label to each word in a sentence."
9
"By using a sense tagger, the machine can better understand the context of a sentence."
10
"The sense tagger can differentiate between homonyms based on the sentence structure."
11
"The accuracy of a sense tagger depends on the quality of its training data."
12
"The sense tagger plays a crucial role in machine translation applications."
13
"The sense tagger can be integrated into a grammar checking tool."
14
"Using a sense tagger makes it easier to build a semantic parser."
15
"The output of a sense tagger can be further processed for various NLP tasks."
16
"The sense tagger can help identify idiomatic expressions in a sentence."
17
"A well-trained sense tagger significantly improves syntactic parsing accuracy."
18
"Advanced sense taggers often utilize deep learning techniques for better results."
1
"The sense tagger can accurately determine the part of speech of each word in a sentence."
2
"With the help of a sense tagger, it becomes easier to disambiguate the sense of ambiguous words."
3
"The sense tagger assigns the appropriate sense tag to each word in the sentence."
4
"Using a sense tagger, you can identify the semantic role of each word in a sentence."
5
"The sense tagger improves the accuracy of natural language processing tasks."
6
"A reliable sense tagger is essential for sentiment analysis."
7
"The sense tagger classifies each word according to its meaning in the given context."
8
"Using a sense tagger, you can extract meaningful information from text data."
9
"The sense tagger helps in capturing the subtle nuances of language."
10
"Developing a robust sense tagger requires extensive linguistic knowledge and a large labeled dataset."
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