В последнее время появляется всё больше систем «вопрос-ответ», в которых обычные пользователи на разных форумах отвечают на вопросы таких же обычных пользователей. У спрашивающего возникает вопрос времени ожидания ответа на свой вопрос. Система проектирования, которую будет раскрыта в диссертации, позволила бы спрашивающему найти ответы в похожих вопросах других пользователей. Данная разработка помогла бы и тем пользователям, которые не написали свой вопрос, а ищут похожие вопросы на предмет поиска ответов. Целью магистерской диссертации является проектирование удобной и быстрой системы для поиска похожих текстов. Эта система позволит находить документы схожих тематик быстро и прозрачно для конечного пользователя и его интересов. / Recently, more and more question-and-answer systems have appeared, in which ordinary users in different forums answer questions from the same ordinary users. The questioner has a question about the waiting time for an answer to his question. The design system, which will be disclosed in the dissertation, would allow the questioner to find answers in similar questions from other users. This development would also help those users who did not write their own question, but are looking for similar questions in order to find answers. The aim of the master's thesis is to design a convenient and fast system for finding similar texts. This system will allow you to find documents of similar topics quickly and transparently for the end user and his interests.

The proposed tool will provide users with a platform to access a side-by-side comparison of classroom assessment and job posting requirements. Using techniques and methodologies from NLP, machine learning, data analysis, and data mining: the employed algorithm analyzes job postings and classroom assessments, extracts and classifies skill units within, then compares sets of skills from different input volumes. This effectively provides a predicted alignment between academic and career sources, both federal and industrial. The compilation of tool results indicates an overall accuracy score of 82%, and an alignment score of only 75.5% between the input assessments and overall job postings. These results describe that the 50 UNT assessments and 5,000 industry and federal job postings examined, demonstrate a compatibility (alignment) of 75.5%; and, that this measure was calculated using a tool operating at an 82% precision rate.

Det här är en lexikal typologisk pilotstudie som undersöker begreppet LIV i elva olika språk. Huvudmaterialet består av texter från Bibeln, Nya testamentet. Studien utgår ifrån de koine-grekiska lexemen för liv, ζωή (zōḗ), ψυχή (psūkhḗ) och βῐ́ος (bíos). Uti- från huvudmaterial från parallelltexterna har probabilistiska semantiska kartor skapats genom multidimensionell skalering för varje språk och har analyserats med partitio- ning around medoids pam(). Resultatet visar på två intressanta fenomen. För det förs- ta har zōḗ översatts mest enhetligt. psūkhḗ och bíos översätts på ett mer varierande sätt i det flesta språken där fler olika lexem har använts och det här tyder på att deras be- tydelse är mer varierad. De koine-grekiska lexemen bildar en konceptuell struktur, vilket innebär att de olika koncepten för LIV inordnas efter en snävare och bredare be- tydelse. För det andra, visar resultatet även att språken anpassar sitt vokabulär för att efterliknar denna struktur. Det visar sig tydligast i språk med flera lexem för LIV samt hur de används för att översätta de tre koine-grekiska lexemen. / This is a lexical typological pilot study that examines the concept of LIFE in eleven different languages. The main material consists of texts retrieved from the Bible, the New Testament. The study is based on the Koine-Greek lexemes for life, ζωή (zōḗ), ψυχή (psūkhḗ) and βῐ́ος (bíos). Probabilistic semantic maps have been created through multidimensional scaling for each language and have been analyzed with partitioning around medoids pam(). The results show two interesting phenomena. Firstly, zōḗ has been translated most consistently. psūkhḗ and bíos have been translated with more va- riation in most languages where several different lexemes have been used, and this indicates that their meaning is more varied. The Koine-Greek lexemes form a concep- tual structure, which means that the various concepts of LIFE is arranged according to a narrower and broader meaning. Secondly the results also show that the languages adapt their vocabulary to mimic this structure, it is most evident in languages with several lexemes for LIFE and how they are used to translate the three Koine-Greek lexemes.