Kullanım Kılavuzu
Neden sadece 3 sonuç görüntüleyebiliyorum?
Sadece üye olan kurumların ağından bağlandığınız da tüm sonuçları görüntüleyebilirsiniz. Üye olmayan kurumlar için kurum yetkililerinin başvurması durumunda 1 aylık ücretsiz deneme sürümü açmaktayız.
Benim olmayan çok sonuç geliyor?
Birçok kaynakça da atıflar "Soyad, İ" olarak gösterildiği için özellikle Soyad ve isminin baş harfi aynı olan akademisyenlerin atıfları zaman zaman karışabilmektedir. Bu sorun tüm dünyadaki atıf dizinlerinin sıkça karşılaştığı bir sorundur.
Sadece ilgili makaleme yapılan atıfları nasıl görebilirim?
Makalenizin ismini arattıktan sonra detaylar kısmına bastığınız anda seçtiğiniz makaleye yapılan atıfları görebilirsiniz.
 Görüntüleme 16
 İndirme 5
AKADEMİK DİSİPLİNE GÖRE KATEGORİZE EDİLMİŞ DOKTORA TEZLERİNDEKİ SÖZ ÖBEKLERİNİN KARŞILAŞTIRILMASI
2023
Dergi:  
Nevşehir Hacı Bektaş Veli University Journal of ISS
Yazar:  
Özet:

The present study sets out to compare PhD dissertations, written by Turkish postgraduate students learning English as a foreign language, both by the field of science and by the majors of authors in terms of the use of 4-word lexical bundles. To retrieve recurrent lexical bundles and to make their structural and functional analysis, various disciplines are grouped under two separate groups based on the scientific fields such as hard and social sciences. Also, English-major and non-English-major disciplines are compared to each other to see the variation in use of lexical bundles across disciplines. The findings reveal that ELT dissertations, representative of English-major disciplines, have three and four times as many lexical bundles as the dissertations written in the scientific fields of soft and hard sciences, respectively. However, the scientific fields contain almost the same amount of normalized frequency of lexical bundles, suggesting that soft and hard sciences do not show variation in use of 4-word lexical bundles. With regard to the structural analysis of lexical bundles, it is found that lexical bundles most frequently appear in the syntactic categories of noun phrases and prepositional phrases. As for the functional distribution of lexical bundles, the findings indicate that the vast number of lexical bundles in each group function to be referential expressions.

Anahtar Kelimeler:

Comparison Of Lexical Bundles In Dissertations Categorized Based On Academic Disciplines
2023
Yazar:  
Özet:

The present study aims to compare PhD dissertations, written by Turkish postgraduate students learning English as a foreign language, categorized based on the academic disciplines, in terms of the use of 4-word lexical bundles. To retrieve recurrent lexical bundles and to make their structural and functional analysis, various disciplines are grouped under two separate groups based on the academic fields such as hard and soft sciences. Also, English-major and non-English-major disciplines are compared to each other to see the variation in use of lexical bundles across disciplines. The findings reveal that ELT dissertations, representative of English-major disciplines, have three and four times as many lexical bundles as the dissertations written in the academic fields of soft and hard sciences, respectively. However, the academic fields produce almost the same number of lexical bundle types, suggesting that soft and hard sciences do not show variation in use of 4-word lexical bundles. With regard to the structural analysis of lexical bundles, it is found that lexical bundles most frequently appear in the syntactic categories of noun phrases and prepositional phrases. As for the functional distribution of lexical bundles, the findings indicate that the vast number of lexical bundles in each group function to be referential expressions

Atıf Yapanlar
Bilgi: Bu yayına herhangi bir atıf yapılmamıştır.
Benzer Makaleler










Nevşehir Hacı Bektaş Veli University Journal of ISS

Alan :   Eğitim Bilimleri; Güzel Sanatlar; Hukuk; Sosyal, Beşeri ve İdari Bilimler; Spor Bilimleri

Dergi Türü :   Uluslararası

Metrikler
Makale : 732
Atıf : 1.880
2023 Impact/Etki : 0.257
Nevşehir Hacı Bektaş Veli University Journal of ISS