Provide your comments or thoughts on the syllable count for cautious below. A comprehensive resource for finding syllables in cautious, how many syllables are in cautious, words that rhyme with cautious, how to divide cautious into syllables, how to pronounce cautious in US and British English, how to break cautious into syllables.
Syllable Count What's a Syllable? Words: cautioning , cautions , cautious , cautiously , cautiousness. Synonyms and Words Related to Cautious cautiously 3 syllables , cagey 2 Syllables , cagy 2 Syllables , careful 2 Syllables , chary 2 Syllables , conservative 4 Syllables , dilatory 4 Syllables , fabian 3 Syllables , gingerly 3 Syllables , guarded 2 Syllables , moderate 3 Syllables , overcautious 4 Syllables , restrained 2 Syllables , timid 2 Syllables , unadventurous 5 Syllables afraid 2 syllables , anxious 2 syllables , attentive 3 syllables , cagey 2 syllables , cagy 2 syllables , canny 2 syllables , careful 2 syllables , chary 2 syllables , circumspect 3 syllables , conscientious 4 syllables , conservative 4 syllables , considerate 4 syllables , crawling 2 syllables , creeping 2 syllables , curious 3 syllables ,.
If you want to be particularly fancy, you can print the words as something resembling sentences rather than printing the lists. To assist you in that endeavor, observe what join does below. These haikus are still pretty terrible. The plan is to use bigrams and conditional frequency distributions to try to chain the words together better, so that as much as possible, the choice of what word comes next is constrained by what has been seen to come next in the corpus.
So, this is only going to work for words that are in both corpora. Another point about this: The Brown corpus contains some words that are capitalized, but all of the words in the CMU pronunciation corpus are lowercase.
Finally, we can create a conditional frequency distribution, that will provide for us a list of observed continuations after each word. In our previous haiku generator, the word choice was based on first picking a random number of syllables within the range that we had left on the line , and then picking a random word that has that many syllables.
In our improved haiku-writer, we need to constrain this more. Try building a 7 syllable line by hand on your own. So, it should start something like this:. So the function needs access to the previous word, not just the target length. That means that we need to add the previous word as one of the things that the function takes as an argument. So, really, it should be something like this:. Like so:. If there is no previous word, the choice of the next word is relatively unconstrained, we can just pick a random word that has fewer than total syllables.
If there is a previous word, then we need to consult the conditional frequency distribution we built from the bigrams. None will evaluate as False , anything else will evaluate as True. Can you just pick any random word? It is not guaranteed that there will be continuations available from any word you pick. We will probably need to deal with this contingency, but at least when we are starting a line, we want to pick a word that has somewhere to go.
The plan is to find the words with the highest number of possible following words, and when we start a new line, we will pick one of those.
We need to know for each word how many continuations it has. We need this for every word in cfd though.
We can make that list as follows:. What is useful about putting them in this format, with the number as the first element of each pair, is that we can just sort on that number to find the ones with the most continuations. It is possible that some of those words have too many syllables, though. So, we need to filter the list so that it just has words that have fewer than total syllables, and then make a random choice from among those.
In that case, we need to figure out what the possible continuations are from that word, filter them down to just those that do not have too many syllables, and then pick one of them.
The most glaring of them is that it goes on forever, never actually finishing. There are a couple of ways to handle this. What does line get set to? There is one prominent special case that we have so far failed to handle. But what happens if either there are no possible continuations, or if the ones there are are too long? This situation could quite easily arise, so we have to think about what to do if it does. The idea is that we want to pick the next word not on the basis of the previous word, but as if we did not have a previous word.
At this point, we are basically finished. Given this assumption about the corpus, we can safely leave that contingency unaddressed in our function. For how long it took us to build it, it seems kind of short. But, it should do what we said we wanted to do. So, now we can actually test it. Try it on a couple of different corpora. Earlier, we set corp to be brown.
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