Modern Standard Arabic Research Articles

Parsing Arabic Verb Phrases Using Pregroup Grammars

Parsing of Arabic phrases is a crucial requirement for many applications such as question answering and machine translation. The calculus of pregroup introduced by Lambek as an algebraic computational machinery for the grammatical analysis of natural languages. Pregroup grammar used to analyse sentence structure in many European languages such as English, and non-European languages such as Japanese. In Arabic language, Lambek employed the notions of pregroup to analyse some grammatical structures such as conjugating the verb, tense modifiers and equational sentences. This work attempts to develop an initial phase of an efficient automatic pregroup grammar parser by using linear approach to analysethe verbal phrases of Modern Standard Arabic (MSA). The proposed system starts building Arabic lexicon contains all possible categories of Arabic verbs, then analysing the input verbal Arabic phrase to check if it is wellformed by using linear parsing algorithm based on pregroup grammar rules.

Sense-Based Arabic Information Retrieval Using Harmony Search Algorithm

Information Retrieval (IR) is a field of computer science that deals with storing, searching, and retrievingdocuments that satisfy the user need. The modern standard Arabic language is rich in multiple meanings (senses) for manywords and this is substantially due to lack of diacritical marks. The task for finding appropriate meanings is a key demand inmost of the Arabic IR applications. Actually, the successful system should not be interested only in the retrieval quality andoblivious to the system efficiency. Thus, this paper contributes to improve the system effectiveness by finding appropriatestemming methodology, word sense disambiguation, and query expansion for addressing the retrieval quality of AIR. Also, itcontributes to improve the system efficiency through using a powerful metaheuristic search called Harmony Search (HS)algorithm inspired from the musical improvisation processes. The performance of the proposed system outperforms the one inthe traditional system in a rate of 19.5% while reduces the latency in an approximate rate of 0.077 second for each query.

PEMBENTUKAN KATA DAN ISTILAH BARU DALAM BAHASA ARAB MODERN

This paper is aimed to discuss how to produce new words and terms in Modern Standard Arabic (MSA). Due to the development of Science, Technology, and Arts, new words and terms are born. Because the new words and terms are derived from foreign languages, especially English, some methods of formation in Arabic language are needed. There are (5) five methods of this formation. Firstly, Qiyas; the use of analogy in producing new words and terms based on the Arabic rules. Secondly, isytiqaq; the use of old Arabic form to produce a new words and terms. Thirdly, translation of foreign language to Arabic. Fourtly, borrowing from foreign languages which have two categories; ta`rib (fully Arabization) and tadkhil (borrowing). Fiftly, acronym/abbreviation which is newly used in Arabic language.

The Phonotactic Adaptation of English Loanwords in Arabic

The phonological modifications made to English loanwords in Modern Standard Arabic (MSA) have come as a response to cope with the phonetic and phonological constraints in MSA sound system. These adaptations of loanword pronunciation clearly reflect the areas and effects of phonetic and phonological interference between the two languages in contact. For this purpose, over than 300 of English words borrowed by MSA are analyzed. At the syllabic and prosodic level, mechanisms like cluster simplification, syllabic consonant conversion, gemination, etc. are found at work and by far systematic in MSA borrowings. Generally, it has been found that most of the regular adaptations at syllable level such as declusterization, syllabic consonant conversion, consonant lengthening and vocalic glide insertion, are motivated by linguistic constraints inherited in the phonological system of MSA rather than by extra-linguistic motivations.

LEFT BRANCH EXTRACTION OUT OF THE DETERMINER PHRASE IN SAUDI NORTHERN REGION DIALECT OF ARABIC: A NEW PERSPECTIVE

To my knowledge, Left Branch Extraction (LBE) out of the Determiner Phrase (DP) is not previously attested in Modern Standard Arabic ( MSA) or any of the Arabic dialects. In Saudi Northern Region dialect of Arabic (SNRDA), the wh-degree question kam “how many/much” can appear at the left periphery of the clause leaving the noun and other postnominal modifiers in the base position, in both the subject and the object positions. In this paper, I will argue for a new perspective for the syntactic phenomenon LBE in which the extracted element is a full DP, not part of a DP as previous studies assume, that moves leaving the other DP in situ. That is to say, I will argue that there are two DPs in the argument position; one of those two DPs is the numeral and the other is all that comes after the numeral including the overt noun and its postnominal modifiers. It is only the wh-item kam “how many/how much”, which moves to the left periphery of the clause. My argument is supported, besides other things, by morpho-syntactic similarities between the numeral and the noun, for example both participating in topic and focus constructions and both use of pro-clitic h- and the use of the definite article al- “the” with other pre-nominal modifier like the quantifier kil “all” and baadh “some. This paper is unique in that it provides a new perspective on LBE in a dialect of Arabic which is rarely discussed.

Shared Arguments in Modern Standard Arabic

This paper discusses shared arguments in coordinate structures in Modern Standard Arabic (MSA). It assumes that a shared argument between two conjuncts can be a subject or an object. The paper uses the lexical-functional grammar (LFG) framework for analyzing this kind of structure. In LFG, the two possible analyses for similar structures involve analyzing the shared argument as bearing two functions in the two conjuncts. The first analysis is the split analysis, where the shared argument is zipped to both conjuncts by assuming that the verb phrases in both conjuncts are split. The second analysis is function spreading, in which the function of the shared argument is spread from one conjunct to another. This paper argues that the previous analyses in LFG have faced some problems in accounting for this phenomenon in MSA. To solve these problems, this paper contributes a new analysis for shared arguments that involves analyzing the missing argument, whether it is a subject or an object, as a null argument.

Seeking control in Modern Standard Arabic

Modern Standard Arabic (MSA) has several embedded clause constructions, some of which resemble control in English (and other languages). However, these constructions exhibit some notable differences. Chief among them is the fact that the embedded verb carries agreement features that can indicate both coreference and disjoint reference between a matrix argument and the subject of the complement clause. Through a corpus-based investigation, informed by previous insights regarding the distinction between control and no control, we found no evidence of obligatory control predicates in MSA; these findings contradict accepted generalizations (and predictions) proposed by state-of-the-art theories of control. Nevertheless, although no obligatory control predicates were found, the backward pattern, where the single expressed subject occurs in the embedded clause, revealed morphosyntactic reflexes of the control vs. no control distinction. Coreference between the expressed embedded subject and the unexpressed matrix subject was found to be restricted to a set of predicates. The existence of backward control and its relation to the backward raising construction, also found in MSA, are especially relevant for current debates regarding the theory of control. We propose an analysis that ties together control, raising and restructuring.

Simple and complex comparatives in Modern Standard Arabic

Modern Standard Arabic (MSA) has simple and complex comparatives, which look rather like their counterparts in many other languages. MSA simple comparatives are indeed like those of other languages, but MSA complex comparatives are quite different. They involve an adjective with a nominal complement, which may be an adjectival noun or an ordinary noun, and are rather like so-called ˋadjectival constructs'. Simple comparatives, complex comparatives, and adjectival constructs can all be analysed with lexical rules within HPSG.

Gapping: A New LFG Approach

This paper discusses gapping in Modern Standard Arabic (MSA) and analyzes this phenomenon through the lexical-functional grammar (LFG) framework. It argues against previous analyses of nonconstituent coordination in LFG, including those proposed by Maxwell & Manning (1996) and Frank (2002) and her followers. The main problem with those analyses is that they violate one of the well-formedness conditions in LFG, which requires the functional structure (f-structure) to be coherent. Therefore, the paper provides a new analysis of gapping in LFG, in which the deleted verb in the second conjunct is analyzed as a null verb that has a PRED value and that indicates the tense in its local clause.

The Phonotactic Adaptation of English Loanwords in Arabic

The phonological modifications made to English loanwords in Modern Standard Arabic (MSA) have come as a response to cope with the phonetic and phonological constraints in MSA sound system. These adaptations of loanword pronunciation clearly reflect the areas and effects of phonetic and phonological interference between the two languages in contact. For this purpose, over than 300 of English words borrowed by MSA are analyzed. At the syllabic and prosodic level, mechanisms like cluster simplification, syllabic consonant conversion, gemination, etc. are found at work and by far systematic in MSA borrowings. Generally, it has been found that most of the regular adaptations at syllable level such as declusterization, syllabic consonant conversion, consonant lengthening and vocalic glide insertion, are motivated by linguistic constraints inherited in the phonological system of MSA rather than by extra-linguistic motivations.

Stress Assignment in N+N Combinations in Arabic

The validity of stress as a criterion to distinguish between compounds and phrases has been investigated in many languages, including English (see e.g. Lieber 2005: 376; Booij 2012: 84). However, the possibility of using stress as a criterion in this way has not been investigated for Arabic. Siloni (1997: 21) claims that in N+N combinations in Semitic languages, stress always falls on the second element. However, the results of a study using PRAAT reveal that, in Modern Standard Arabic (MSA) and Jordanian Arabic (JA), stress plays no role in distinguishing between various N+N combinations, i.e. compounds and phrases, e.g.ˈmuʕallim lfiizyaaʔ ‘the physics teacher’ vs.ˈbayt lwalad ‘the boy’s house’, respectively. Analysis shows that the default position of stress in N+N combinations in MSA and JA is on the first element. There is only one systematic exception, which is phonetically conditioned: in N+N combinations with assimilated geminates on the word boundary, a secondary stress or perhaps double stress is assigned.

Tagging Classical Arabic Text using Available Morphological Analysers and Part of Speech Taggers

Focusing on Classical Arabic, this paper in its first part evaluates morphological analysers and POS taggers that are available freely for research purposes, are designed for Modern Standard Arabic (MSA) or Classical Arabic (CA), are able to analyse all forms of words, and have academic credibility. We list and compare supported features of each tool, and how they differ in the format of the output, segmentation, Part-of-Speech (POS) tags and morphological features. We demonstrate a sample output of each analyser against one CA fully-vowelized sentence. This evaluation serves as a guide in choosing the best tool that suits research needs. In the second part, we report the accuracy and coverage of tagging a set of classical Arabic vocabulary extracted from classical texts. The results show a drop in the accuracy and coverage and suggest an ensemble method might increase accuracy and coverage for classical Arabic.

Modern Standard Arabic and Rural Palestinian Dialect: Patterns of the Active Participle

This paper was mainly concerned with analyzing the processes of active participle formation in Modern Standard Arabic (MSA). It also aimed to examine the Rural Palestinian Dialect (RPD) in order to reveal the derivation of the active participle in this dialect and to describe any patterns that might vary from MSA. The study was based on the traditional notions of root and pattern which characterize Arabic morphology. The data for this study were collected from various sources. These sources are not researchers but they are people originated from Palestine. Then the data were analyzed in terms of morphology.

Grammatical construction of function words between old and modern written Arabic: A corpus-based analysis

AbstractThis paper argues that Arabic function words (FWs) vary in usage between old and modern Arabic, thus prompting an experimental investigation into their changeability. This investigation is carried out by testing classical Arabic (CA) in Arabic heritage language (AHL) texts – those labeled as archistratum – and the modern standard Arabic (MSA) of Arabic newspaper texts (ANT), each group of which contains randomly collected 5 million (M) word texts. The linguistic theory of the grammar of Arabic FWs is explained through the differences between CA and MSA, despite Arabic FW changes and the unlearnability and/or unusability of some FW constructions between in these two eras of Arabic usage. The dispersion/distribution of the construction grammar (CxG) of FWs and the number (n) of word attractions/repulsions between the two distinct eras is explored using the very latest and most sophisticated Arabic corpus processing tools, and Sketch Engine’sSkeEn gramrelsoperators. The analysis of a 5 M word corpus from each era of Arabic serves to prove the non-existence of rigorous Arabic CxG. The approach in this study adopts a technique which, by contrasting AHL with ANT, relies on analyzing the frequency distributions of FWs, the co-occurrences of FWs in a span of 2n-grams collocational patterning, and some cases of FW usage changes in terms of lexical cognition (FW grammatical relationships). The results show that the frequencies of FWs, in addition to the case studies, are not the same, and this implies that FWs and their associations with the main part of speech class in a fusion language like Arabic have grammatically changed in MSA. Their constructional changes are neglected in Arabic grammar.

A Web-based interface to calculate phonotactic probability for words and nonwords in Modern Standard Arabic.

A number of databases (Storkel Behavior Research Methods, 45, 1159-1167, 2013) and online calculators (Vitevitch & Luce Behavior Research Methods, Instruments, and Computers, 36, 481-487, 2004) have been developed to provide statistical information about various aspects of language, and these have proven to be invaluable assets to researchers, clinicians, and instructors in the language sciences. The number of such resources for English is quite large and continues to grow, whereas the number of such resources for other languages is much smaller. This article describes the development of a Web-based interface to calculate phonotactic probability in Modern Standard Arabic (MSA). A full description of how the calculator can be used is provided. It can be freely accessed at http://phonotactic.drupal.ku.edu/ .

TAMEEM V1.0: speakers and text independent Arabic automatic continuous speech recognizer

This research work aims to disseminate the efforts towards developing and evaluating TAMEEM V1.0, which is a state-of-the-art pure Modern Standard Arabic (MSA), automatic, continuous, speaker independent, and text independent speech recognizer using high proportion of the spoken data of the phonetically rich and balanced MSA speech corpus. The speech corpus contains speech recordings of Arabic native speakers from 11 Arab countries representing Levant, Gulf, and Africa regions of the Arabic World, which make about 45.30 h of speech data. The recordings contain about 39.28 h of 367 sentences that are considered phonetically rich and balanced, which are used for training TAMEEM V1.0 speech recognizer, and another 6.02 h of another 48 sentences that are used for testing purposes, which are mostly text independent and foreign to the training sentences. TAMEEM V1.0 speech recognizer is developed using the Carnegie Mellon University (CMU) Sphinx 3 tools in order to evaluate the speech corpus, whereby the speech engine uses three-emitting state Continuous Density Hidden Markov Model for tri-phone based acoustic models, and the language model contains uni-grams, bi-grams, and tri-grams. Using three different testing data sets, this work obtained 7.64% average Word Error Rate (WER) for speakers dependent with text independent data set. For speakers independent with text dependent data set, this work obtained 2.22% average WER, whereas 7.82% average WER is achieved for speakers independent with text independent data set.

Politicized pedagogy in Morocco: A comparative case of teachers of English and Arabic

This article examines how Moroccan language teachers perceive good teaching practice. References to learner-centeredness factor prominently in these perceptions, paralleling the policy discourse of the Moroccan government. Language teachers report a varied field of good practice, wherein teachers of English uniquely benefit from patterns of professional development funding, pedagogical research, and symbolic capital. This analysis suggests that discussions of language pedagogy in Morocco cannot be clearly separated from the politics of language. Engaging with literature on the contingent nature of pedagogical knowledge, this article emphasizes the importance of considering pedagogical politics through local frames in addition to global ones.11Key Acronyms: Learner-centered pedagogy (LCP); Ministry of National Education and Professional Formation (MEN); National Charter for Education Reform (CNEF); High Council for Education/Conseil Supérieur de l’Education, de la Formation, et de la Recherce Scientifique (CSE); Programme d’Urgence de l’Éducation National Education Emergency Program/Nationale (PUEN); Modern Standard Arabic (MSA); Competency-based Approach/Approche par Compétence (APC);

Universal web accessibility and the challenge to integrate informal Arabic users: a case study

Most Arabs can read text written in Modern Standard Arabic (MSA). However, to easily express themselves, they may find it easier to switch to informal (colloquial) Arabic. The web is open for anyone to express him/herself freely, and people are expressing themselves through many social media platforms, such as blogs and forums increasingly in their native colloquies. Search engines are very good at handling queries in MSA, though not as good if the query is written in colloquial Arabic. Two issues will be addressed in this paper. First, many younger generation Arabs find it hard to write in MSA, which means that many results are missed due to improperly posted queries; and second, a query written in MSA will not retrieve documents written in colloquial Arabic. Thus, with the goal of universal accessibility of the web to all Arabic users, we need a successful mechanism that translates the query back and forth between MSA and the variety of colloquies spread throughout the Arab countries. As a case study, we investigate one of the local dialects in Saudi Arabia, a leading country in social media usage much of which is in colloquial language. We present a web information retrieval system for Arabic that addresses this concern. To test the proposed method, we compiled a corpus of over fourteen hundred documents and measured the performance of our system using 50 sample queries achieving an average recall and precision of 93.4 and 83.6%, respectively.

Acquisition of Modern Standard Arabic by Speakers of Different Arabic Colloquial Varieties: Resumption in Object Relative Clauses

It is often claimed that there are no native speakers of Modern Standard Arabic (MSA) due to possible effect of late age of first exposure (AoE) and possible effect of the acquired colloquial variety ofArabic, which is considered as the first language (L1). This empirical study examined the impact of AoE and knowledge of the L1on the ultimate attainment of resumption in MSA object relative clauses. 147adolescent participants from Egypt, the Levant, and the gulf regions, were recruited to examine their underlying knowledge ofresumption in MSA through completing an Acceptability Judgment Task. Using ANOVAand planned comparisons, the differences in participants' judgments to resumptionwere evaluated across 5 groups corresponding to different AoE and the colloquialvarieties they speak. The analysis of the data showed no significant effect of AoEnorof the L1, and post hoc tests showed no significant differences between the groups ofparticipants. These results were discussed in relation to theories on L1 influence and tothe critical period hypothesis.

Classifying and Segmenting Classical and Modern Standard Arabic using Minimum Cross-Entropy

Text classification is the process of assigning a text or a document to various predefined classes or categories to reflect their contents. With the rapid growth of Arabic text on the Web, studies that address the problems of classification and segmentation of the Arabic language are limited compared to other languages, most of which implement word-based and feature extraction algorithms. This paper adopts a PPM character-based compression scheme to classify and segment Classical Arabic (CA) and Modern Standard Arabic (MSA) texts. An initial experiment using the PPM classification method on samples of text resulted in an accuracy of 95.5%, an average precision of 0.958, an average recall of 0.955 and an average F-measure of 0.954, using the concept of minimum cross-entropy. PPM-based classification experiments on standard Arabic corpora showed that they contained different types of text (CA or MSA), or a mixture of the both (CA and MSA). Further experiments with the same corpora showed that a more accurate picture of the contents of the corpora was possible using the PPM-based segmentation method. Tag-based compression experiments (using tags produced by parts-of-speech Arabic taggers) also showed that the quality of the tagging (as measured by compression quality) is significantly affected when tagging either CA and MSA text. The conclusion is that NLP applications (such as taggers) should treat these texts separately and use different training data for each or process them differently.