With a population of around 7 billion people, the world has the world’s largest rhino population, with over 1,000 in Australia alone.
Now, researchers are trying to understand why this population is declining, with the help of a unique algorithm that helps them predict the future.
Rhyme is a term used to describe a sequence of syllables that forms the basis of words, as well as to describe how a person might sound in the future, or how an individual might sound at the same time.
It is often used to represent rhyme-related cultural differences and is a very popular subject for online dictionaries.
Researchers at the University of Adelaide have developed a new algorithm that they say can predict future rhyme.
They believe the new algorithm, called the rhymesprite-genetic algorithm (rhymespritesgen), will be useful for both research and teaching, with its aim to help students learn to speak a different language than they already know.
In the future the algorithm may also be used to create more realistic rhyme sequences, which could help in the study of language.
Professor Scott Fenton, the senior author of the paper, said the algorithm worked with the existing rhyme sequence data, including from the Australian Bureau of Statistics (ABS), to predict the rhymes of the next 10,000 words.
“It was very clear that the rhyming patterns that we predicted were quite different from what the census showed,” he said.
“The census data is quite poor, but the rhymersprite data shows that there is more variation than we would expect.”
He said the method is still in its early stages, and the researchers are working to make sure that the algorithm’s predictions are correct.
Professor Fenton said the study also found that rhymes have an impact on the sound of words.
For example, it found that if a rhyme contains two words that are the same word but different syllables, they could have different meanings.
“For example if we have the word ‘curry’, it is very easy to think that it means something like ‘curcurry’ and then it could be a very different word,” he explained.
“So if you had a rhyming scheme that has two syllables but one syllable is a different word, it is possible that you might get two words with very different meanings.”
Professor Feston said the researchers hope to use the algorithm to predict future rhymes for languages other than English.
“We would like to have a language called Rhymesprit, so that we can use it to teach phonetics, or phonology, or language learning,” he added.