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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

English as a Foreign language in Brazil and Sweden : A comparative study

Sklar, Fabiana January 2009 (has links)
<p>In Brazil, English is studied from first grade of elementary school. For some reason after eleven years of study, students in general have problems communicating orally and in writing. Swedish students, on the other hand, seem to be able to communicate quite proficiently in English, even though it is also considered to be foreign language learning. The purpose of this comparative study is to discover what differs in the Brazilian and Swedish learning and teaching that makes the Swedish results superior. The purpose was to compare English learning as a foreign language in Sweden and in Brazil, and questionnaires were distributed to teacher and students. Of the many possibilities raised as hypotheses for the effective English learning in Sweden, teacher’s educational background, working hours per week, number of students per teacher, were found to be more problematic in Brazil, according to the teachers’ questionnaire. When it comes to students, it appears that Brazilian students show a lack of commitment to their learning tasks and awareness of the importance of learning English. In addition, several social aspects have to be taken into account when judging the educational situation of a country, but the importance of a good education can never be overlooked.</p>
2

English as a Foreign language in Brazil and Sweden : A comparative study

Sklar, Fabiana January 2009 (has links)
In Brazil, English is studied from first grade of elementary school. For some reason after eleven years of study, students in general have problems communicating orally and in writing. Swedish students, on the other hand, seem to be able to communicate quite proficiently in English, even though it is also considered to be foreign language learning. The purpose of this comparative study is to discover what differs in the Brazilian and Swedish learning and teaching that makes the Swedish results superior. The purpose was to compare English learning as a foreign language in Sweden and in Brazil, and questionnaires were distributed to teacher and students. Of the many possibilities raised as hypotheses for the effective English learning in Sweden, teacher’s educational background, working hours per week, number of students per teacher, were found to be more problematic in Brazil, according to the teachers’ questionnaire. When it comes to students, it appears that Brazilian students show a lack of commitment to their learning tasks and awareness of the importance of learning English. In addition, several social aspects have to be taken into account when judging the educational situation of a country, but the importance of a good education can never be overlooked.
3

Spelling Normalization of English Student Writings

HONG, Yuchan January 2018 (has links)
Spelling normalization is the task to normalize non-standard words into standard words in texts, resulting in a decrease in out-of-vocabulary (OOV) words in texts for natural language processing (NLP) tasks such as information retrieval, machine translation, and opinion mining, improving the performance of various NLP applications on normalized texts. In this thesis, we explore different methods for spelling normalization of English student writings including traditional Levenshtein edit distance comparison, phonetic similarity comparison, character-based Statistical Machine Translation (SMT) and character-based Neural Machine Translation (NMT) methods. An important improvement of our implementation is that we develop an approach combining Levenshtein edit distance and phonetic similarity methods with added components of frequency count and compound splitting and it is evaluated as a best approach with 0.329% accuracy improvement and 63.63% error reduction on the original unnormalized test set.

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