SEEU Review vol. 5 Nr. 2 (pdf) - South East European University

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Mentor Hamiti, Visar Shehu and Agni Dika Fig. 2. Aplication for analyze and syllable identification Application (Fig. 2) meets the need for analyzing written texts in the Albanian language and can be easily adapted for other languages, of course by respecting the rules of the division of words into syllables. It allows the division of individual words into syllables, reads the text files and identifies the syllables within the read text, provides direct calculation of the frequency of presentation of the syllables and also enables the recording of results in a particular file. V. The results of text analyzis For verification of the functional correctivity of the application, words in particular are analyzed that contain syllables of all possible configurations, foreseen in the five conditions of the above mentioned algorithm. The same results are identical with concrete examples in books such as Phonetics and Phonology of the Albanian language [6]. As illustration, some results of experimentation for the mentioned categories are given in the following: 1. With the first condition, there are no exceptions and the number of syllables within the word is always equal to the number of vowels. 2. For the VCV case, tests give the following results: hëna /hë-na/, djali /dja-li/, treni /tre-ni/, puna /pu-na/, buka /bu-ka/, etc. 3. The case VC1C2V2 offers two possibilities: 184
<strong>SEEU</strong> <strong>Review</strong> Volume 5, No. 2, 2009 • The results for VC1-C2V: turpi /tur-pi/, pulsi /pul-si/, qerpiku /qer-pi-ku/, artisti /ar-ti-sti/, artikulli /ar-ti-ku-lli/, zarzavate /zarza-va-te/, qershia /qer-shi-a/, gjilpëra /gjil-pë-ra/, drejtori /drejto-ri/, vajza /vaj-za/, kujtesa /kuj-te-sa/, etc. • The results for V-C1C2V: kafsha /ka-fsha/, dëftesa /dë-fte-sa/, vështirësi /vë-shti-rë-si/, kostumi /ko-stu-mi/, breshka /breshka/, pupla /pu-pla/, libri /li-bri/, bakllava /ba-klla-va/, etje /etje/, vendi /ve-ndi/, brenga /bre-nga/, imperialist /i-mpe-ri-alist/, pranvera /pra-nve-ra/, etc. 4. In the case of VC1C2C3V, these following divisions occurred: lundra /lu-ndra/, dhëndri /dhë-ndri/, centrali /ce-ntra-li/, kontrolli /ko-ntro-lli/, bindje /bi-ndje/, mashtroj /ma-shtroj/, komplimenti /ko-mpli-me-nti/, etc. 5. From the case considered rare VC1C2C3C4V, only one syllable was identified in the analyzed texts: shndrit /shndrit/, which is certainly as a result of writing the word shëndrit. The general number of identified syllables within the analyzed texts is around ten thousand, while the frequency of their use is different and depends on the text context. The list of 43 more frequent syllables together with the frequency of their use is given in table below: Tab. 2. Frequencies and attendance of 43 syllable used more often NO Syllable Frequency Persentage Sum 1 pa 0.01896 1.89585 1.89585 2 ka 0.01386 1.38611 3.28196 3 ko 0.01338 1.33752 4.61948 4 te 0.01203 1.20306 5.82254 5 ci 0.01187 1.18678 7.00932 6 në 0.01071 1.07096 8.08028 7 shte 0.00966 0.96618 9.04645 8 ta 0.00933 0.93309 9.97954 9 ve 0.00841 0.84143 10.82097 10 së 0.00825 0.82541 11.64639 11 vi 0.00823 0.82252 12.46891 12 një 0.00795 0.79547 13.26439 13 kë 0.00751 0.75057 14.01495 14 min 0.00719 0.71905 14.73401 185
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Page 172 and 173: 172 Reviewers: Prof. Dr. Kadri Sule
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Page 196 and 197: Assoc. Prof. Dr. Gezim Xhaferi and
Page 212 and 213: 212 Reviewers: Prof. Dr. Selim Jusu
Page 214 and 215: Fatmir Faiku, Haxhere Faiku, Murtez
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