مبتكرات القرآن الكريم في كلام العرب

Abstract EN

The Quran is considered the backbone of the Arabic language in its survival and continuity, and from which it gets its various sciences.

Being so, it is plausible to study and comprehend the Quran as it is rightful to understand the secrets of the language by and through the thorough study of the styles of the Book.

While teaching the Quran Textual analysis, the researcher has anticipated, in the interpretation books and their analyses of the rhetorical styles, the clause, "Here lies what is unique in the Quran".

So, it has been decided to collect these unique data which are the signs of immutability in the Book.

The researcher has recourse to the resources of interpretation, rhetoric, linguistics, and the Quran immutability.

The study consists of an introduction, two chapters and a conclusion.

Chapter One deals with a preface and two sub-topics.

The first sub-topic explores the diversity of the Quran from the poetic forms of the Arabs.

Of these poetic form are of religious beliefs, preaching, calls for Jihad, and the political and other poetic forms such as lamentation, praise, satire, etc.

The other sub-topic tackles the artistic innovations in the Quran.

These innovations are characterized by the departure of the Book to the formal rhyme and rhythm of classical verse to defy the postulation that the Quran follows and continues the formal poetic style(s).

Chapter Two purports to investigate the neo- constructions of the Quran.

These neo-constructions constitute the onsets of the Quran surats, the clauses which implement new meanings.

The other innovation is the new narrative style and the adaptation of telling the narrator's states, in addition to the new epigram style.

One more innovation is the stylistic variety of the Quran surats which copes with the onsets of the surats, in addition to the styles of brevity, expatiation, the use of the mutual lexical items, euphony and eloquence.

The study is rounded up with concluding remarks elicited from the data analysis.