HomoRich, a 528,891-sentence Persian dataset, improves homograph disambiguation by about 30 percentage points in both a fine-tuned T5 model and a context-aware version of eSpeak.
Procedia-Social and Behavioral Sciences , 103:473–484
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Fast, Not Fancy: Rethinking G2P with Rich Data and Rule-Based Models
HomoRich, a 528,891-sentence Persian dataset, improves homograph disambiguation by about 30 percentage points in both a fine-tuned T5 model and a context-aware version of eSpeak.