Elie Wardini

The aim with the present book, Morphological Forms of the Key Words Sorted by Sura, is to present every morphological form of each Key Word, here adjectives, nouns, proper nouns and verbs, attested in the Quran sorted by sura. The digital text used for this purpose is the Uthmani text of the Tanzil Quran Text. This text is widely used, and we have conducted some comparison to pre-digital age printed editions of the Quran. All vocalized Arabic text is quoted unaltered in any shape or form from the Tanzil text. Unvocalized Arabic text and transcriptions are my own. The Key Words are always referenced by their lemma and are sorted alphabetically according to Arabic and UNICODE order with minor adjustments for consistency. 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.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution and Lexical Associations by Sura, is to present key data related to the lexicon of the Quran, in terms of Key Word distribution and lexical associations as attested in each sura.

The aim with the present series, The Quran: Key Word Distribution, Correlations and Collocation Frequencies, is to present 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. It is our hope and aim that this series contributes to Computational Linguistics and Digital Humanities in general, and Computational Linguistics research on the Quran in particular.

The aim with the present series, The Quran: Key Word Distribution, Correlations and Collocation Frequencies, is to present 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. It is our hope and aim that this series contributes to Computational Linguistics and Digital Humanities in general, and Computational Linguistics research on the Quran in particular.

The aim with the present series, The Quran: Key Word Distribution, Correlations and Collocation Frequencies, is to present 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. It is our hope and aim that this series contributes to Computational Linguistics and Digital Humanities in general, and Computational Linguistics research on the Quran in particular.

The aim with the present series, The Quran: Key Word Distribution, Correlations and Collocation Frequencies, is to present 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. It is our hope and aim that this series contributes to Computational Linguistics and Digital Humanities in general, and Computational Linguistics research on the Quran in particular.

The aim with the present series, The Quran: Key Word Distribution, Correlations and Collocation Frequencies, is to present 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. It is our hope and aim that this series contributes to Computational Linguistics and Digital Humanities in general, and Computational Linguistics research on the Quran in particular.

This bundle brings together the 16 volumes of Elie Wardini's The Quran: Key Word Collocations. The aim of these volumes 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° and 2° 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: 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° and 2° 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.