Essays about: "Sentence length"
Showing result 1 - 5 of 17 essays containing the words Sentence length.
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1. Exploring the Impact of Genre on Syntactic and Lexical Complexity in L2 Written English
University essay from Högskolan i Gävle/Avdelningen för humanioraAbstract : The present study investigates the effect of genre on lexical and syntactic complexity. The corpus used for this study is made up of argumentative and narrative texts from the TRAWL (Tracking Written Learner Language) online corpus. The study analyses texts written by 22 Norwegian EFL learners, 10 in year 8 and 12 in year 9. READ MORE
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2. It’s no laughing matter! The changing use of the semicolon and its application in various genres
University essay from Linnéuniversitetet/Institutionen för språk (SPR)Abstract : The function of the semicolon has changed considerably since the 15th century, from primarily indicating the length of a pause, to providing syntactic information. According to prescriptive grammar, the semicolon is used to join independent clauses and to avoid complexity by separating items in a list. READ MORE
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3. The complexity of linguistic complexity: a corpus-based study on development of phrasal complexity in written L2-Swedish
University essay from Lunds universitet/Allmän språkvetenskap; Lunds universitet/Masterprogram: Språk och språkvetenskapAbstract : The aim of this study was to establish whether or not a development of the complexity of the noun phrase, i.e. an increase in noun phrase elaboration could be observed in written L2 Swedish over time. READ MORE
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4. The Artisan Designer
University essay from Lunds universitet/IndustridesignAbstract : This is a project about local small scale production, a story about how an artisan designer could take on the IKEAs of the world armed with modern day technology and some old fashioned hard work. This project is at its core a reflection about the future of design general and my role in particular. READ MORE
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5. Text Steganalysis based on Convolutional Neural Networks
University essay from Blekinge Tekniska HögskolaAbstract : The CNN-based steganalysis model is able to capture some complex statistical dependencies and also learn feature representations. The proposed model uses a word embedding layer to map the words into dense vectors thus, achieving more accurate representations of the words. The proposed model extracts both, the syntax and semantic features. READ MORE