# The Saudi Novel Corpus: Design and Compilation
## 2 Background and Related Works
### Non-Arabic Corpora
This feature enables diachronic investigations of the data to observe any possible linguistic and stylistic development that may have occurred. A similar approach has been applied to the construction of the Corpus of the Canon of Western Literature. The developer has divided the data into four chronological periods that reflect different literary movements [24]. However, this corpus is much larger than the first example given above (around 72 million words), and it is not built only from novels, as poems and plays form a portion of the data. In the CLiC Dickens Project mentioned above, the developers have recently extended their contribution beyond collecting only [PERSON] novels. They createdthe 19 th Century Reference Corpus [10] to serve as a reference corpus for contextualizing the findings obtained from DNov, i.e., to trace any possible link between the style of 19 th century writers and that of [PERSON]. The corpus contains 29 novels produced by prominent British writers, amounting to around 4.5 million words. Four other non-English corpora can also be classified under this sub-category, namely: the Great Corpus of French and French-speaking Literatures (available via: [[https://tinyurl.com/2p974](https://tinyurl.com/2p974) fvf]([https://tinyurl.com/2p974](https://tinyurl.com/2p974) fvf), accessed on 12 April 2022), the Trantext corpus: French literature of the 18 th-20 th century (available via: [[https://tinyurl.com/yfphdwbw](https://tinyurl.com/yfphdwbw)]([https://tinyurl.com/yfphdwbw](https://tinyurl.com/yfphdwbw)), accessed on 12 April 2022), the Ukrainian Novel Corpus (available via: [[https://tinyurl.com/2a6t49z2](https://tinyurl.com/2a6t49z2)]([https://tinyurl.com/2a6t49z2](https://tinyurl.com/2a6t49z2)), accessed on 12 April 2022), and the Corpus of Estonian Fiction (available via: [[https://tinyurl.com/2](https://tinyurl.com/2) tbdw539]([https://tinyurl.com/2](https://tinyurl.com/2) tbdw539), accessed on 12 April 2022). As for bi-/multilingual, the most common sub-type in this category is known as parallel corpora, which contain texts from one (source) language and the equivalent translations into one or more other languages [29]. There are several examples that can be given here. The Corpus of Romanian-English Literature was created in 2016 and contains texts from novels, drama, and other literary books, available via: [[https://tinyurl.com/9](https://tinyurl.com/9) vcprdf]([https://tinyurl.com/9](https://tinyurl.com/9) vcprdf), accessed on 12 April 2022. The original in English contains 87,681 words, whereas the translation in Romanian contains 88,498 words. This size may be regarded as rather small, however. The following two complementary corpora exemplify larger parallel corpora: ParFin 2016, the Finnish-Russian Parallel Corpus of Literary Texts [32], and the Russian-Finnish Parallel Corpus of Literary Texts, available via: [[https://tinyurl.com/2](https://tinyurl.com/2) thn7 dcb]([https://tinyurl.com/2](https://tinyurl.com/2) thn7 dcb), accessed on 12 April 2022. The former contains literary texts from Finnish and their translations into Russian, with a word count of 2,044,172. On the other hand, the latter contains literary texts from Russian and their translations into Finnish, with a word count of 5,900,000. Both corpora are integrated into the web interface tool 'Korp', available via: [[https://tinyurl.com/27](https://tinyurl.com/27) wbhkk5]([https://tinyurl.com/27](https://tinyurl.com/27) wbhkk5), accessed on 12 April 2022. Another interesting example of the parallel corpora of literary texts is the MULTEXT-East '1984' Annotated Corpus [33]. This corpus contains the novel _1984_ (by British author [PERSON]) in its original language English, along with its translation into 11 languages with a word count of 1,064,424. The data included is morpho-syntactically tagged and lemmatized. Our review of non-Arabic literary corpora is not intended to cover all founding, relevant corpora comprehensively.