Additional information about research on Nichane

In a special issue of Sociolinguistic Studies ‘Arabic between tradition and globalisation’ I have published a research paper on the Moroccan magazine Nichane. I have analysed the use of Moroccan Arabic (Darija) in writing in this magazine. For further details I refer to the publication.

On this page I have made available a number of example pages and information on my research corpus.

Some Covers of Nichane

Issue 78 (first issue)

 

 

Issue 91 (the famous ‘jokes issue’)

Issue 214

 

                                                                          

Issue 219

 

Issue 220

 

Issue 229

 

Issue 235

 

 

Issue 263

 

Issue 268, last issue

 

 

Nichane Content

Editorial by Ahmed Benchemsi, issue 113 (pdf)

 

TelQuel

Issue 442, Cover, Adieu Nichane

Issue 442, Editorial by Ahmed Benchemsi (in French) on the discontinuation of Nichane

 

Corpus details

Corpus ordered by author/journalist (pdf of Excel-file)

Corpus ordered by type of article (pdf of Excel-file)

 

Description of the fields/columns in the Corpus Database

WMA nr. = record number in my database of Written Moroccan Arabic materials

Issue nr. = Issue number of Nichane

Type = type of text: article, editorial, cover story etc.

Author = name of the journalist/author

Subject = short description of the subject

X pages = number of pages

Columns/page = number of colums per page

Wrds/line = number of words per line

Lines = number of lines

Tot wrd = total number of words in text

Additional words = number of additional words in non standard lines

Grand total words = all words in text

Nr WMA phrases = number of sequences/phrases containing (written) Moroccan Arabic in text

Nr wrds WMA = number of words in (written) Moroccan Arabic

% WMA wrds in total = percentage of Moroccan Arabic (written) words in text

Nr WMA wrds per phrase = average number of Moroccan Arabic words per phrase, i.e. average phrase length in Moroccan Arabic

Nr WMA phrases per 100 words = number of WMA phrases/sequences per 100 words in the text