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It also deals with more complex aspects like figurative speech and abstract concepts that can’t be found in most dictionaries. But as already mentioned in an example above, the topic of discussion may shift, change, and return to previous topics, with the utterances clustering together into units, called discourse segments, having a hierarchical structure. Often
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It makes development easier and reduces differences between these two frameworks. One can make good use of it in areas of translation, image recognition, speech recognition, and so on. You can build, store, and perform your own Machine Learning structures, like Neural Networks, Decision Trees, and Clustering Algorithms on it. The biggest advantage of using
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