There is no unknown words. vs There are no unknown words.

Both phrases are correct, but they are used in different contexts. 'There is no unknown words.' is incorrect because 'words' is plural, so it should be 'there are no unknown words.' This phrase is commonly used when confirming the absence of unfamiliar terms or vocabulary.

Last updated: March 20, 2024 • 669 views

There is no unknown words.

'There is no unknown words.' is incorrect because 'words' is plural, so it should be 'there are no unknown words.'

The correct phrase should be 'there are no unknown words.' when confirming the absence of unfamiliar terms or vocabulary.

Show examples from the web [+]

We assume that there is no unknown words in the disambiguition model. If all word candidates can be found in the dictionary, we just need to solve the ...
When there is no unknown words in the tested sentences, all the above approaches perform quite well, with accuracy rates ranging from 95% to 99%.
... relying on a dictionary. What you should do is brush up on your Russian until there is no "unknown words" left to be able to do great translations of anything.
means that there is no unknown words have been detected in corpus 2. Next is by evaluating the precision, recall and f-measure for each main tag sets in the ...

Alternatives:

there are no unknown words.

There are no unknown words.

'There are no unknown words.' is the correct phrase to use when confirming the absence of unfamiliar terms or vocabulary.

This phrase is commonly used in various contexts to indicate that there are no words that are not understood or recognized.

Show examples from the web [+]

One clear example of a significant issue being sidestepped here is unknown words. There are no unknown words when you test on the training set, and the truth ...
baseline model when there are unknown words. When there are no unknown words, the performance is about 99% for words and 97% for sentence. 22 ...
to be quite satisfactory [Chang 91, Chiang 92] when there are no unknown words in the corpus. Therefore, a probabilistic approach is adopted in this module.
methods assume that there are no unknown words, and automatically choose a segmentation among the possibili- ties as the solution without interacting with ...

Alternatives:

there are no unfamiliar words.
there are no unrecognized words.
there are no strange words.
there are no new words.

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There is no unknown words. vs There are no unknown words.