In our daily lives, language plays a fascinating function. Because it is so subtle and layered, we may fail to recognise it or choose to dismiss it. Many factors, such as how we communicate or interact, are influenced by language and linguistic pragmatics.
We carry the baggage of our original language with us when we talk, which causes us to speak in a certain way. My native language, for example, has a significant impact on how I use English anytime I talk, write, or think in English because English is not my first language. The way we utilize an article, the words or phrases we choose, or how much emphasis we give to a particular phoneme are all examples of factors that go unnoticed but affect how we communicate.
When creating a kAIron voice bot, it is important to consider the impact that a native language has on a non-native language. Let me use our experience creating a speech bot to demonstrate this.
Vital Points
Here are the things I discovered as a result of working through this intriguing topic.
Data is nothing but language: In order to analyze a language, the linguistic context and data from actual speakers are both required! When analyzing user dialogues on kAIron chatbots and speech bots, language knowledge, linguistic viewpoint, and linguistic methodology are crucial.
Take an analytical stance: To investigate user dialogues, it is necessary to analyze them thoroughly. To develop a solid, effective, and simple solution, you must fully comprehend the issue at hand. While conducting an investigation or thorough study, it is crucially vital to analyze what is happening, why it might be happening, and the facts and language that may be to blame for a problem.
Have technical context: Understanding the program or code may not be strictly necessary for a kAIron Conversation Designer, but understanding the subtleties of a bot’s operation is quite important. It’s critical to comprehend how a bot comprehends human conversations and behaves in response to them.
Recognize cognition: Recognizing the fundamentals of cognition can help us generalize some of that process and turn it into a programme. It is very challenging to translate the cognitive process into a programme that builds an intelligent system without knowing the cognitive process. I observed that even after seeing the correct item, people kept asking for the same linguals. This suggested that the understanding might have been wrong. Linking these two facts together and figuring out how to handle the uncertainty in the scenario are both cognitive tasks for humans.
Identifying Only if the cognitive process in our heads is monitored is it possible to determine the precise circumstances and regulations for breaking down these higher level points into smaller levels and then translating that into a programme. After all, we must train ourselves before we can train the machine.