title: ÐÑÐµÐ½ÐºÐ° ÐºÐ°ÑÐµÑÑÐ²Ð° ÑÐµÑ Ð½Ð¸ÑÐµÑÐºÐ¾Ð¹ Ð´Ð¾ÐºÑÐ¼ÐµÐ½ÑÐ°ÑÐ¸Ð¸ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Quality assessment of technical documentation using machine learning
Creators: name: Ð§Ð¸Ð½Ð´Ð°ÑÐºÐ°Ñ, Ð¡Ð°Ð½ÐºÐµÑ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: Ð¸Ð·Ð²Ð»ÐµÑÐµÐ½Ð¸Ðµ Ð´Ð°Ð½Ð½ÑÑ
ÐºÐ¾ÑÑÑÐ¸ÑÐ¸ÐµÐ½Ñ Ð¾ÑÐ¸Ð±Ð¾Ðº Ð² ÑÐ»Ð¾Ð²Ð°Ñ
Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½Ð°Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ
RapidMiner
Ð¼Ð°ÑÐ¸Ð½Ð½ÑÐ¹ Ð¿ÐµÑÐµÐ²Ð¾Ð´
data mining
word error rates
artificial neural network
machine translation

description: In the context of an increasingly networked world, the availability of highquality translations is critical for success in the context of the growing international competition. Massive worldwide companies as well as medium sized companies are required to provide well translated, high quality technical documentation for their customers not only to be successful in the market but also to meet legal regulations and to avoid lawsuits. Therefore, this thesis focuses on the evaluation of translation quality, specifically regarding technical documents, and answers two central questions: How can the translation quality of technical documents be calculated, given the original document is available? How can the translation quality of technical documents be assessed, given the original document is not available? These questions are answered using state-of-the-art machine learning algorithms and translation evaluation metrics in the context of a knowledge discovery process. The evaluations are done on a sentence level and recombined on a document level by binarily categorizing sentences as computerized translation and specialized translation. The research is based on a database including 22,327 sentences and 32 translation evaluation attributes, which are used for optimizations of five different machine learning approaches. An optimization method consisting of 795,000 evaluations shows a calculation accuracy of up to 72.24% for the binary classification. Based on the established sentence-based classification systems, documents are classified using recombination of the affiliated sentences and a
background for rating document quality is established. Therefore, the taken approach absolutely creates a Ñategorization and assessment approach.
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