Question

what limitation did markov models have in text prediction? they could only predict plausible next words. they could predict entire paragraphs accurately. they were unable to predict any words. they were limited to predicting single letters.

Explanation:

Markov models in text prediction have limitations. They rely on short - term dependencies. Predicting entire paragraphs accurately (which would require long - term context understanding) is beyond their scope. Predicting no words is incorrect as they do make predictions. Predicting only single letters is also wrong as they operate at the word level (to some extent). The key is that they are mainly good at predicting plausible next words based on local context, not handling complex long - range text structures.

Answer:

They could only predict plausible next words.