Generating sentences with markov but mixing in ryme randomness script src https cdnjs cloudflare com ajax libs rita 2 8 31 rita js script script console log RiTa Version RiTa VERSION var inputText A high quality memory management system is crucial for any application that performs a large number of allocations and de allocations In retrospect studies have shown that in some cases an application can spend on average a third of its time within memory manager functions and in some cases this can be as high as fifty percent However speed is only one of the features we look at for a good memory manager When a memory pool is formed it initialises all of its segments This can be costly since it is normally necessary to loop through all uninitialized segments Our technique creates with minimal processing cost since we just initialise the first element If a memory pool is only used halfway before being deleted fewer CPU cycles are used In dynamic memory systems where partitioned memory is continually produced and removed the cost of setup may be substantial A memory pool may enable an application run quicker with more control better flexibility higher customizability significantly improved resilience and decreased fragmentation setup some helpers if a rhyme can t be found use the original word const rhymes w let r RiTa rhymes w w r length 0 w r 0 return w for a string cap the first word const capitalize s return s charAt 0 toUpperCase s slice 1 first lets use the markov using the given example sentences var markov new RiTa markov 2 trace false limit nFactor to 2 markov addText inputText var sentences markov generate 6 allowDuplicates false lets see what it looks like console log result sentences second phase let s loop over the sentences and rhyme one word from each sentence var sentences2 sentences forEach s let words s split let index Math floor Math random words length words index rhymes words index sentences2 capitalize words join console log result sentences2 send result to output Possible further work multiple passes larger training set a metric system for evaluating the quality of each of the generated sentences Happy coding script
er customizability significantly improved resilience and decreased fragmentation setup some helpers if a rhyme can t be found use the original word const rhymes w let r RiTa rhymes w w r length 0 w r 0 return w for a string cap the first word const capitalize s return s charAt 0 toUpperCase s slice 1 first lets use the markov using the given example sentences var markov new RiTa markov 2 trace false limit nFactor to 2 markov addText inputText var sentences markov generate 6 allowDuplicates false lets see what it looks like console log result sentences second phase let s loop over the sentences and rhyme one word from each sentence var sentences2 sentences forEach s let words s split let index Math floor Math random words length words index rhymes words index sentences2 capitalize words join console log result sentences2 send result to output Possible further work multiple passes larger training set a metric system for evaluating the quality of each of the generated sentences Happy coding script