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"Bahasa Norwegia memiliki banyak kata serapan yang diambil dari Bahasa Jerman dan bahasa-bahasa yang mendahului bahasa Jerman seperti Bahasa Jerman Hilir dan Bahasa Jerman Hilir Pertengahan akibat supremasi politik dan ekonomi yang terjadi pada Liga Hansa tahun 1250-1450 di mana sejumlah populasi besar dari penutur Bahasa Jerman Hilir Pertengahan bermigrasi ke Norwegia. Oleh karena itu, penelitian ini bertujuan menganalisis kemiripan dan perbedaan antara bahasa Jerman dan Norwegia, kelaziman pengajaran bahasa Jerman di Norwegia, dan bagaimana pembelajar bahasa Norwegia beradaptasi dengan bahasa Jerman melalui kata-kata serapan tersebut. Penelitian ini menggunakan analisis kontrastif untuk menguraikan faktor-faktor yang membangun kemiripan dan perbedaan antara bahasa Jerman dan bahasa Norwegia, dan menggunakan metode penelitian kualitatif melalui wawancara one-on-one terbuka dengan tiga narasumber yang mempelajari bahasa Jerman dan Norwegia secara bersamaan di mana mereka diminta untuk menyebutkan kata-kata serupa dalam bahasa Jerman dan Norwegia yang terlintas di benak mereka, sehubungan dengan tujuan penulis mengumpulkan bukti perihal seberapa familiar mereka dengan bahasa Jerman ketika mereka telah mempelajari bahasa Norwegia, dan sebaliknya.

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The Norwegian language has many loan words derived from German and the languages that preceded German such as Middle Low German and Low German due to the political and economic supremacy that occurred in the Hanseatic League back in 1250 to 1450 where a huge population of Middle Low German speakers migrated to Norway. Thus, this research aims to analyze the similarities and differences between German and Norwegian, the prevalence of German language teaching in Norway, and the way Norwegian language learners adapt with the German language through the said loan words. This research uses contrastive analysis to decipher factors that helped build the similarities and differences between German and Norwegian, and uses a qualitative research method through a one-on-one, open-ended interview with three interviewees that are learning German and Norwegian simultaneously where they were asked to mention similar words in German and Norwegian that crossed their minds as the writer aims to collect evidences regarding how familiar they are with German when they have learned Norwegian, and vice versa."

"This white paper is part of a series that promotes knowledge about language technology and its potential. This analysis focused on the 23 official European languages as well as other important national and regional languages in Europe. The results of this analysis suggest that there are many significant research gaps for each language. A more detailed expert analysis and assessment of the current situation will help maximise the impact of additional research and minimize any risks. META-NET consists of 54 research centres from 33 countries that are working with stakeholders from commercial businesses, government agencies, industry, research organisations, software companies, technology providers and European universities. Together, they are creating a common technology vision while developing a strategic research agenda that shows how language technology applications can address any research gaps by 2020."

"This white paper is part of a series that promotes knowledge about language technology and its potential. This analysis focused on the 23 official European languages as well as other important national and regional languages in Europe. The results of this analysis suggest that there are many significant research gaps for each language. A more detailed expert analysis and assessment of the current situation will help maximise the impact of additional research and minimize any risks. META-NET consists of 54 research centres from 33 countries that are working with stakeholders from commercial businesses, government agencies, industry, research organisations, software companies, technology providers and European universities. Together, they are creating a common technology vision while developing a strategic research agenda that shows how language technology applications can address any research gaps by 2020."