Many new computational models are making attempts to bridge the cognitive gap by emulating the processes recognized as being part of the human brain, and used for language processing by humans. These approaches depend on semantic features that cannot be explicitly expressed through the text. The computational models are useful for theoretical purposes, e.g., scientific studies, such as exploring the nature of linguistic communication and its properties, as well for practical and industrial applications, such as enabling effective human–machine communications.