The aim with the present series, The Quran: Key Word Collocations is to present the Quran as raw data with as little interpretation as possible. The digital text used for this purpose is the Uthmani text of the Tanzil Quran Text. In the present series, Collocation is defined as a Key Word, here adjectives, nouns, proper nouns and verbs, forming the center of a cluster with four co-occurring Key Words (1 Degrees and 2 Degrees of proximity), the first two to the left and to the right, where available. Every Collocation of each Key Word in the Quran is presented in context, as a rule with six words to the right and six to the left of it, where available or where the formatting permits. The central Key Words have been grouped by root > lemma. Classical dictionaries and Quran commentaries, as well as modern Quran dictionaries have been consulted.

The aim with the present series, The Quran: Word List, is to present every word form in the Quran as raw data with as little interpretation as possible. The digital text used for this purpose is the Uthmani text of the Tanzil Quran Text. In volumes one and two each attested word form in the Quran is listed alphabetically with no parsing and no alteration. These are listed by word form < lemma < root. Volume three consists of two sections. In section one, the lemmas assigned to each attested word form are listed. In section two, the assigned roots are listed. In assigning each word a root and lemma, Classical dictionaries and Quran commentaries, as well as modern Quran dictionaries have been consulted.

The aim with the present series, The Quran: Word List, is to present every word form in the Quran as raw data with as little interpretation as possible. The digital text used for this purpose is the Uthmani text of the Tanzil Quran Text. In volumes one and two each attested word form in the Quran is listed alphabetically with no parsing and no alteration. These are listed by word form < lemma < root. Volume three consists of two sections. In section one, the lemmas assigned to each attested word form are listed. In section two, the assigned roots are listed. In assigning each word a root and lemma, Classical dictionaries and Quran commentaries, as well as modern Quran dictionaries have been consulted.

The aim with the present series, The Quran: Word List, is to present every word form in the Quran as raw data with as little interpretation as possible. The digital text used for this purpose is the Uthmani text of the Tanzil Quran Text. In volumes one and two each attested word form in the Quran is listed alphabetically with no parsing and no alteration. These are listed by word form < lemma < root. Volume three consists of two sections. In section one, the lemmas assigned to each attested word form are listed. In section two, the assigned roots are listed. In assigning each word a root and lemma, Classical dictionaries and Quran commentaries, as well as modern Quran dictionaries have been consulted.

This book is the culmination of the Turabdin Project, the goal of which is to monitor the development of Modern Literary Syriac from the 1980s to the present. The approach is descriptive and contrastive relative to the Classical language, significant differences between Modern Literary Syriac and Classical Syriac are noted. The main focus is on neologisms and new developments in the lexicon.

Presented over 5 volumes (available separately), The Quran: Key Word Distribution, Correlations and Collocation Frequencies provides key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations. The digital text used for this purpose is the widely-used Uthmani text of the Tanzil Quran Text. All vocalised Arabic text is quoted unaltered in any shape or form from the Tanzil text. Unvocalised Arabic text and transcriptions are the author's own. In this series, each Key Word - here adjectives, nouns, proper nouns and verbs - is presented together with the following key data: degree of concentration, weighted distribution, and correlations and collocation frequencies. The Key Words are always referenced by their lemma and are sorted alphabetically according to Arabic and UNICODE order. In lemmatising the words, no attention has been given to the semantics of each word. Only on rare occasion have similar forms of words or proper nouns been separated in order to avoid confusion. In assigning each word a lemma, the author has consulted classical dictionaries and Quran commentaries, as well as modern Quran dictionaries.

The Quran: Key Word Distribution, Correlations and Collocation Frequencies presents key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations. The digital text used for this purpose is the Uthmani text of the Tanzil Quran Text. This text is widely used. All vocalized Arabic text is quoted unaltered in any shape or form from the Tanzil text. Unvocalized Arabic text and transcriptions are my own. In this series, each Key Word - here adjectives, nouns, proper nouns and verbs - is presented together with the following key data: degree of concentration, weighted distribution, correlations and collocation frequencies. The Key Words are always referenced by their lemma and are sorted alphabetically according to Arabic and UNICODE order. In lemmatizing the words, no attention has been given to the semantics of each word. Only on rare occasion have similar forms of words or proper nouns been separated in order to avoid confusion. In assigning each word a lemma, Classical dictionaries and Quran commentaries, as well as modern Quran dictionaries have been consulted. Deciding on these is not always obvious, since classical dictionaries and commentaries sometimes either disagree or present divergent variant readings or root and lemma attributions. This series contributes to Computational Linguistics and Digital Humanities in general, and Computational Linguistics research on the Quran in particular.

The Quran: Key Word Distribution, Correlations and Collocation Frequencies presents key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations. The digital text used for this purpose is the Uthmani text of the Tanzil Quran Text. This text is widely used. All vocalized Arabic text is quoted unaltered in any shape or form from the Tanzil text. Unvocalized Arabic text and transcriptions are my own. In this series, each Key Word - here adjectives, nouns, proper nouns and verbs - is presented together with the following key data: degree of concentration, weighted distribution, correlations and collocation frequencies. The Key Words are always referenced by their lemma and are sorted alphabetically according to Arabic and UNICODE order. In lemmatizing the words, no attention has been given to the semantics of each word. Only on rare occasion have similar forms of words or proper nouns been separated in order to avoid confusion. In assigning each word a lemma, Classical dictionaries and Quran commentaries, as well as modern Quran dictionaries have been consulted. Deciding on these is not always obvious, since classical dictionaries and commentaries sometimes either disagree or present divergent variant readings or root and lemma attributions. This series contributes to Computational Linguistics and Digital Humanities in general, and Computational Linguistics research on the Quran in particular.

The Quran: Key Word Distribution, Correlations and Collocation Frequencies presents key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations. The digital text used for this purpose is the Uthmani text of the Tanzil Quran Text. This text is widely used. All vocalized Arabic text is quoted unaltered in any shape or form from the Tanzil text. Unvocalized Arabic text and transcriptions are my own. In this series, each Key Word - here adjectives, nouns, proper nouns and verbs - is presented together with the following key data: degree of concentration, weighted distribution, correlations and collocation frequencies. The Key Words are always referenced by their lemma and are sorted alphabetically according to Arabic and UNICODE order. In lemmatizing the words, no attention has been given to the semantics of each word. Only on rare occasion have similar forms of words or proper nouns been separated in order to avoid confusion. In assigning each word a lemma, classical dictionaries and Quran commentaries, as well as modern Quran dictionaries have been consulted. Deciding on these is not always obvious, since classical dictionaries and commentaries sometimes either disagree or present divergent variant readings or root and lemma attributions. This series contributes to Computational Linguistics and Digital Humanities in general, and Computational Linguistics research on the Quran in particular.

The Quran: Key Word Distribution, Correlations and Collocation Frequencies presents key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations. The digital text used for this purpose is the Uthmani text of the Tanzil Quran Text. This text is widely used. All vocalized Arabic text is quoted unaltered in any shape or form from the Tanzil text. Unvocalized Arabic text and transcriptions are my own. In this series, each Key Word - here adjectives, nouns, proper nouns and verbs - is presented together with the following key data: degree of concentration, weighted distribution, correlations and collocation frequencies. The Key Words are always referenced by their lemma and are sorted alphabetically according to Arabic and UNICODE order. In lemmatizing the words, no attention has been given to the semantics of each word. Only on rare occasion have similar forms of words or proper nouns been separated in order to avoid confusion. In assigning each word a lemma, Classical dictionaries and Quran commentaries, as well as modern Quran dictionaries have been consulted. Deciding on these is not always obvious, since classical dictionaries and commentaries sometimes either disagree or present divergent variant readings or root and lemma attributions. This series contributes to Computational Linguistics and Digital Humanities in general, and Computational Linguistics research on the Quran in particular.