Towards Inclusivity: The Improvements Needed to Overcome ChatGPT's Flaws
Posted: Sat Feb 08, 2025 6:23 am
Despite being a website dedicated to AI and machine translation research and development, we have always strongly advocated for the synergy between human intuition and AI machine translation in creating multilingual content for various industries. Translators and language professionals have become fundamental to the development of AI translation and led to the creation of tools that would allow low-resource languages to be more accessible to international users.
Machine translation and AI language models face many problems, as we can see with the issues with ChatGPT. In the case of the Portuguese language, human experts can pinpoint instances where the model may struggle to differentiate between dialects or fail to grasp the subtle cultural references that shape communication, such as regional idioms, colloquialisms, or variations in pronunciation.
They can also assist in improving the model's accuracy in translating kuwait mobile database content between dialects and prevent inaccuracies caused by biases commonly found in machine translation and AI language models.
The path towards a more inclusive ChatGPT involves proactive strategies to incorporate overlooked dialects and languages, such as European Portuguese, into its linguistic repertoire.
We have listed some strategies you can use to overcome the limitations of ChatGPT to serve a broader user base.
1. Linguistic Data Collection: To expand its linguistic capabilities, ChatGPT should prioritize data collection efforts in regions where underrepresented dialects are spoken. Gathering a diverse dataset that includes European Portuguese and other dialects is the first step in building linguistic diversity into the model.
Machine translation and AI language models face many problems, as we can see with the issues with ChatGPT. In the case of the Portuguese language, human experts can pinpoint instances where the model may struggle to differentiate between dialects or fail to grasp the subtle cultural references that shape communication, such as regional idioms, colloquialisms, or variations in pronunciation.
They can also assist in improving the model's accuracy in translating kuwait mobile database content between dialects and prevent inaccuracies caused by biases commonly found in machine translation and AI language models.
The path towards a more inclusive ChatGPT involves proactive strategies to incorporate overlooked dialects and languages, such as European Portuguese, into its linguistic repertoire.
We have listed some strategies you can use to overcome the limitations of ChatGPT to serve a broader user base.
1. Linguistic Data Collection: To expand its linguistic capabilities, ChatGPT should prioritize data collection efforts in regions where underrepresented dialects are spoken. Gathering a diverse dataset that includes European Portuguese and other dialects is the first step in building linguistic diversity into the model.