The effect of Farsi verb representational complexity on processing time during listening comprehension

Some verbs are more complex than others in terms of mental representation. This can be attributed to the semantic factors like argument structure possibilities stored in speaker 's mental lexicon. Here, the argument structure complexity hypothesis is tested in Farsi by participation of twenty normal native speakers of Farsi. The method used here is cross modal lexical decision(CMLD). As for the results, such a hypothesis has been proved in Farsi using t tests to analyze the results. Results show that teaching more complex verbs first leads to generalizations over less complex verbs and finally facilitates their learning. Such a research implies complexity account of language treatment and also represents language data that can be used in treatment sessions whose use leads to less needed sessions.