THE USE OF SPOKEN LEARNER CORPORA TO DETECT PROBLEMS WITH LEXICAL ACCURACY

Öz

In June 1908, the non-Muslims’ having fun in a grove triggered the gathering of thousands of Albanians in Firzovik. The call was made by the 18th division Commander Şemsi Pasha who was assigned to suppress the rebellion started by Resneli Niyazi Bey and he wanted to get the support of Albanians. After the spreading news of Austrian troops’ moving over the region, it was renounced that the number of gathering people was almost thirty thousand in a few weeks. The Ottoman Government sent the Kosovo Gendarmerie Commander Colonel Galip Bey to Firzovik to solve the problem upon seeing the increasing crowd day by day. Colonel Galip Bey who started the organization in Skopje, and also was a unionist, caused more Albanians’ coming there instead of distributing the group. Colonel Galip Bey convinced the Albanians that gathered in Firzovik to accept the need of the proclamation of the constitutionalism. A draft of a petition prepared by Colonel Galip Bey, demanding the declaration of constitutionalism in a very short time was signed by eighty people representing the crowd and was sent to Yıldız Palace. Albanians, who reported their demands with a petition to the Sultan, indicated that they swore to march on İstanbul if their request would not be accepted. In these days, Resneli Niyazi Bey’s escape to mountains with the soldiers under his command, the Committee of Union and Progress branches’ telegram to the palace for the declaration of Constitutionalism, and Albanians’ this attitude created a major impact on Abdülhamit II to declare the constitutionalism

Anahtar Kelimeler

• Firzovik, Constitutionalism, Galip Bey, the Albanians

THE USE OF SPOKEN LEARNER CORPORA TO DETECT PROBLEMS WITH LEXICAL ACCURACY

Öz

Bu çalışmanın amacı yabancı dil öğrencilerinin, özellikle sözcüksel öğelerin kullanımı konusundaki problemlerinin daha kolay saptanması için derlem yönteminin kullanılması yolunda bir öneri getirmektir. Her ne kadar sözlü derlem toplama aktivitesi zor ve zaman alıcı bir süreç olsa da, İngilizce’nin yabancı dil öğrencileri tarafından kullanımı veya yanlış kullanımı konusuna ışık tutma potansiyeli yüksektir. Çalışmada kullanılmak üzere, bir sözlü öğrenci İngilizcesi derlemi oluşturulmuştur. Çalışmanın katılımcıları orta ve ortanın üstü İngilizce seviyesindeki yabancı dil öğrencilerdir. Çalışmada kullanılan derlem, diğer bir deyişle ‘Öğrenci Monologları Derlemi’ (ÖMD) katılımcı yabancı dil öğrencilerinin iki farklı konu üzerine 35 adet konuşma kaydının çözümlemesini içermektedir. Öğrenci Monologları Derleminin oluşturulması için kullanılan konuşma konuları IELTS (Uluslararası İngilizce Dil Yeterlilik Sınavı) sınavının konuşma bölümünde kullanılan sorular arasından seçilmiştir. Derlem için toplanan ses kayıtları çözümlenmiş ve hata kategorileri yönünden elle kodlanmıştır. Öğrencilerin yaptıkları hataların kodlanmasından sonra, derlem özel bir derlem analizi programı olan AntConc 3.2.4w kullanılarak kelime kullanımı yönünden analiz edilmiştir. Çalışmanın sonuçları, öğrencilerin konuşma kayıtlarındaki en sorunlu sözcüksel grubun fiiller olduğunu ortaya çıkarmıştır. Bunun dışında, yaygın olarak saptanan yanlış kullanımlar sırasıyla zarf, isim ve sıfat kelime gruplarını içermektedir. Sonuçlar ayrıca yanlış kelime seçiminin öğrencilerin sözcüksel hatalarının en önemli sebeplerinin başında olduğuna işaret etmektedir. Çalışma, yabancı dilde konuşma becerisi öğretimi alanında öneriler içermektedir.

Anahtar Sözcükler: Derlem, Sözlü Öğrenci Derlemi, Sözcüksel Hata Analizi.

THE USE OF SPOKEN LEARNER CORPORA TO DETECT PROBLEMS WITH LEXICAL ACCURACY

Abstract: The purpose of this study is to offer a solution for the easier and more accurate detection of speaking problems, especially with the use of lexical items, through the use of a corpus methodology. Although the compilation of spoken corpora is a difficult and time consuming process, it has a great potential to shed light on the use or misuse of English by foreign language learners. For the purposes of this study, a spoken corpus of learner English was compiled. The participants are students at the intermediate to upper-intermediate proficiency level of English. The corpus used in the study, namely ‘Corpus of Learner Monologues’ (CLM) consisted of transcriptions of 35 spoken accounts by participating foreign language learners on two different topics. The topics assigned for the compilation of the corpus were chosen from among IELTS (International English Language Testing System) exam speaking section topics. The recordings were transcribed and hand coded for error categories. After the coding of errors, the corpus was analyzed by using AntConc 3.2.4w, a special software for corpus analysis. The results revealed that verbs are the most problematic lexical group in students’ speech. Other common errors included adverb, noun, and adjective word groups. Results also highlighted that “wrong word choice” was the most common reason for students’ lexical errors. The study carries implications for the teaching of speaking skills.

Keywords: Corpus, Spoken Learner Corpus, Lexical Error Analysis.

Anahtar Kelimeler

• Derlem,Sözlü Öğrenci Derlemi,Sözcüksel Hata Analizi

Kaynakça

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