Abdelzaher, E., Elghamry, K., Elattar, A. (2017). A Corpus-based Arabic Valency Dictionary: The Case of Fighting Verbs. The Egyptian Journal of Language Engineering, 4(1), 20-28. doi: 10.21608/ejle.2017.59407
Esraa Abdelzaher; Khaled Elghamry; Abeer Elattar. "A Corpus-based Arabic Valency Dictionary: The Case of Fighting Verbs". The Egyptian Journal of Language Engineering, 4, 1, 2017, 20-28. doi: 10.21608/ejle.2017.59407
Abdelzaher, E., Elghamry, K., Elattar, A. (2017). 'A Corpus-based Arabic Valency Dictionary: The Case of Fighting Verbs', The Egyptian Journal of Language Engineering, 4(1), pp. 20-28. doi: 10.21608/ejle.2017.59407
Abdelzaher, E., Elghamry, K., Elattar, A. A Corpus-based Arabic Valency Dictionary: The Case of Fighting Verbs. The Egyptian Journal of Language Engineering, 2017; 4(1): 20-28. doi: 10.21608/ejle.2017.59407
A Corpus-based Arabic Valency Dictionary: The Case of Fighting Verbs
Empirical pedagogical dictionaries aim at defining words in their context and presenting corpus-based evidence for each word. They are meant to teach language learners how to use a word correctly. Valency, which describes the arguments of a verb syntactically and semantically, is of unique importance to pedagogical dictionaries. Unfortunately, Arabic lacks corpus-based valency resources. Thus, this paper proposes a monolingual corpus-based valency dictionary, for Arabic learners, covering fighting verbs. The dictionary explores the valency of fighting verbs in Sketch Engine’s uploaded Arabic TenTen corpus. The dictionary compiling method depends on both automatic word sketch function to identify the lexico-syntactic patterns of verbs and on threelayer manual annotation of corpus-driven examples to consolidate the results. Each verb entry, in the dictionary, displays (a) number; (b) phrase type; (c) semantic role; (d) grammatical function of its arguments and (e) definition of its different senses. At least, three annotated examples are provided for each verb sense to illustrate its usage authentically. The dictionary, integrating semantic and syntactic information, facilitates effective learning of new Arabic vocabulary.
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