Arabic L2 Interlanguage: Syntactic sequences, agreement and by Ghassan Husseinali

By Ghassan Husseinali

Arabic L2 Interlanguage is an important and well timed addition to the sector of moment Language Acquisition, delivering important perception into the advance of ‘interlanguage’, the period in-between language of early rookies, in newcomers of Arabic.

This book:

  • Clearly establishes what interlanguage is and why it may shape an enormous a part of overseas language instructing
  • Presents the reader with a chain during which six English-speaking newcomers of Arabic gather the language
  • Makes use of the wealthy morphological and syntactic estate of Arabic to supply a brand new point of view at the box of moment Language Acquisition.

Arabic L2 Interlanguage contributes without delay in the direction of construction a extra complete theoretical framework for explaining how L2s are got. will probably be key textual content for SLA students in addition to an incredible source for graduate scholars in Linguistics and overseas Language educating.

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Extra resources for Arabic L2 Interlanguage: Syntactic sequences, agreement and variation

Example text

Larsen-Freeman & Long (1991) criticize the model for lacking an identification mechanism for features variation. These shortcomings of the multidimensional model prompted Pienemann, one of the researchers on the ZISA project, to propose the processability theory (Pienemann 1998) as a more comprehensive and universal framework of SLA. Processability theory Overview Processability theory assumes a hierarchy of language-processing procedures that underlie language production. Based on this encoding hierarchy, predictions can be made about which language structures are accessible for processing and then production.

A number of factors prompted opting for “open-ended” procedures to collect data over other procedures such as translation or grammatical judgment. The first factor is the nature of the framework being used in this study that hinges on a language production model (Levelt 1989). Therefore, to test the predictions of PT, the data have to reflect those production procedures. Second, spontaneous production yields data that have been produced for real communicative need, thus ensuring that meaning is part of the message.

All tokens in the data were assigned to one of the seven target syntactic structures. Then, next to each structure, a grammaticality column was inserted. Each token was analyzed for grammaticality on the basis of word order, as well as feature unification (agreement) wherever applied. This analysis yielded either a correct (c) or incorrect (i) code in the coding column. The second technique dealt with grammatical agreement combinations. Four possible combinations on three different structures were analyzed.

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