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Supervised Morphology Generation Using Parallel Corpus
Recent Advances in Natural Language Processing
Translating from English, a morphologically poor language, into morphologically rich languages such as Persian comes with many challenges. In this paper, we present an approach to rich morphology prediction using a parallel corpus. We focus on the verb conjugation as the most important and problematic phenomenon in the context of morphology in Persian. We define a set of linguistic features using both English and Persian linguistic information, and use an English-Persian parallel corpus todblp:conf/ranlp/MahmoudiAF13 fatcat:ta5nzpcpebgcpc34dkp4ndurey