In my ongoing project at Cardiff University, I develop a natural language processing (NLP) model to assess the trustworthiness of news articles in online platforms. 

For my PhD project at University College London (UCL), I investigated how various factors interact and collectively affect learning probabilistic morpho-phonological patterns. 

From artificial language learning experiments, I found that learners' bias against homophony caused learners to be poorer at learning a neutralizing alternation compared to a non-neutralizing alternation. 

However, when learners were frequently exposed to neutralizations in their native language, they were equally good at learning both alternations.

I implement these findings in a MaxEnt model by discounting the homophonous words in the data.