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EN
The article deals with German colonial language policy and linguistic research carried out in the territory of Namibia during its time as a German colony. Since the language issue was one of the most challenging topics for both Germans and the indigenous population, a significant effort was made to establish substantial language training facilities. German colonists had the opportunity to attend the Seminar for Oriental Languages in Berlin and they received financial support from the government for their commitment to study. The local population learned the German language and culture, attending special courses under the auspices of missionaries. One of the most famous missionaries was Heinrich Vedder, who made a huge contribution to research on the Nama people, exploring their language and culture. Many contrastive linguistics textbooks were published, showing differences between the respective grammar and lexical systems. Another important attempt to support multilingualism was made by professional journals containing comprehensive information about new findings made in South West Africa.
EN
The main purpose of the paper is both to present and to highlight the wide range of artificial intelligence appliance in linguistic research. I intend to define the so called ‘linguistic intelligence’ in the sense of machine learning, based mainly on artificial neural networks. Linguistic intelligent solutions seem to be not only up-to-date but also very promising in the area of developing and improving any intelligent linguistic tools, such as intelligent tutoring systems that are able to interact with human being, or the voice (speech) recognition systems that are able to receive, interpret (understand) and sometimes even carry out spoken commands. Finally, I intend to present the area of so called ‘terminotics’. The term refers to the meeting point of three interrelated disciplines: terminology, computational linguistics and linguistic engineering. This branch is also assisted by computer tools and new technologies based on artificial intelligence and machine learning. These (tools) are mainly designed for term extraction and corpora development but lately there are also some new possibilities to use these tools to increase the quality of terminology infrastructure as well.
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