I learnt that interpretive theory is all about focusing on the meaning behind the words. Instead of translating word-for-word, interpreters try to understand the message, remove the exact wording, and then say it in a way that makes sense for the listener. It’s more about understanding the feeling and intention than just the language itself.

one knowledge I gained about IT is that to always make sure to not run from the original context eventhough the way its interpreted is slightly different in tone and language.

I learnt that interpretation is beyond word-for-word translation. It is how an interpreter grasps the meaning of the original context and re-express it to the audience. This is how I understood this theory: A teacher helps students understand a poem by first absorbing its deeper meaning (not just its words but the poet’s emotions and intent). The teacher then separates the meaning from the poem’s original phrasing and re-expresses it naturally, adjusting the explanation based on the students' background knowledge so they fully grasp the essence of the poem.

The knowledge I have gained from conducting the IT analysis is that IT is more about understanding than translating a context in the form of word-for-word. It emphasises the conveyance of the meaning of the message rather than to literal translation.

One knowledge I gained about IT is interpreting is not about translating words literally, but about understanding and conveying the speaker's meaning.

This experience also helped me better understand interpretive theory. It is not about literal translating, but it is about getting the main idea and feeling behind the message. A good interpreter doesn’t just repeat words, they understand the meaning, take it in, and then say it in a way that makes sense and feels right to the listener. It’s about capturing the heart of the message, not just the exact words.

The important knowledge I gained about IT from this analysis is that it focuses on conveying meaning rather than just translating words directly. This approach has changed the way people study and understand translation.

Through this exercise, I gained a deeper understanding of how AI can support interpretive theory (IT) analysis in information technology. Specifically, I learned that AI applications can be leveraged to compare different analytical outputs such as contrasting my own reading with AI generated insights. This process revealed that AI can identify both similarities and differences in interpretation, which helps to validate or challenge my own understanding. Additionally, I discovered that AI’s ability to process large amounts of text and extract relevant themes makes it a powerful tool for qualitative analysis in IT research, enhancing accuracy and objectivity when examining complex theoretical concepts

One knowledge I gained about Interpretive Theory (IT) after doing the analysis is that IT emphasizes understanding the subjective meanings and perspectives of individuals within a specific context. By comparing my own analysis with the AI’s output, I realized that IT is less about finding objective truths and more about interpreting how people construct meaning based on their experiences and social interactions. This approach helps uncover deeper insights into how individuals or groups perceive and respond to information, highlighting the importance of context and interpretation in IT research.

I observed that AI can explain complex ideas like Interpretive Theory in a simple, easy-to-understand way, which helped me compare and deepen my own notes.

One knowledge I gained about IT:

I learned that IT focuses more on understanding and expressing the sense or message, not just translating words, which is key for clear and accurate communication across languages.

One key piece of knowledge that I have gained about the Interpretive Theory (IT) is that it was developed by practicing interpreters, not by linguists or language teachers, and it is a holistic theory not based on prior linguistic or psychological theories.

Knowledge gained about IT is I learned that interpreters first turn words into a basic idea in their mind using the exact phrase before speaking, which explains why literal word-for-word translation often doesn’t work. I learned that meaning matters more than word-to-word translation.

One knowledge I gained about IT - I learned that the term "sense" in IT is more than just word meanings. It includes the speaker’s intent, context, tone, and the listener’s background knowledge, which are all crucial for an accurate interpretation.

One key thing I learned about Interpretive Theory is that it focuses on meaning, not just words. Interpreters need to understand the speaker’s full message, not just translate word by word.

i learned that IT is all about getting the real meaning across, not just the words. interpreters need to catch what the speaker really means and say it in a way the audience will get, even if that means changing how it’s said.

A key takeaway about Interpretive Theory is that it emphasizes the importance of conveying meaning rather than just translating individual words. Interpreters must grasp the speaker’s overall message to accurately communicate it, rather than focusing on a word-for-word translation.

One knowledge I gained about IT after doing the analysis is the emphasis on the "functionalist" view of interpreting, where the primary aim is to convey the speaker's message in a way that is adapted to the listeners' background, allowing them to have as many interpretations as those listening to the original speech. This goes beyond simply understanding the message to ensuring its effective reception and comprehension by the target audience.

One knowledge I gained about IT after doing the analysis is the concept of 'sense' in IT relies heavily on context and background knowledge to convey the intended meaning effectively.

One knowledge I gained about IT after doing the analysis is that its concept of deverbalization is supported by neuropsychological evidence. This scientific foundation deepens my understanding of why IT emphasizes “forgetting” the original words to focus on the underlying sense. It is not just a technique. It reflects how our brains process meaning during interpretation.

One knowledge that I gained about IT from this analysis is how interpreting requires so much more that just changing words to another language. It requires careful thinking and the ability to adjust meaning so the target audience can understand clearly. It made me realise how much skill these interpreters have and the mental effort during interpreting.

One key thing I learned about IT is that it’s not about translating every word exactly. Instead, it’s about understanding what the speaker truly means and then expressing that meaning naturally in the target language, especially by considering the context and culture.

I learned that Interpretive Theory emphasizes “sense” over words. It taught me that professional interpreters don’t just translate word-for-word—they focus on understanding the speaker’s intended message and then reformulate it naturally in the target language. This process involves three key steps: comprehension, deverbalization, and reformulation, which help ensure clear and accurate communication.

From the analysis, I gained a deeper understanding of Interpretive Theory. It emphasises that interpreters should not translate word-for-word but instead focus on grasping and conveying the speaker’s intended meaning. This involves understanding the context, mentally processing the sense of the message, and then expressing it naturally in the target language so the listener can fully grasp the intended idea.

One knowledge I gained about IT after doing the analysis is the concept of deverbalization the idea that once the interpreter fully understands the speaker’s message, the original words can be discarded. What remains is “sense”, which is then reformulated into the target language. This separates IT from traditional models and highlights how interpretation is an active, creative process, not just linguistic transfer.

From this analysis, I learned that Interpretive Theory is not just about changing words from one language to another. It’s more about understanding the full message, including the speaker’s feelings and the situation. Then, the interpreter says the message in a way that sounds natural in the target language. This helps the listener understand the meaning.

Side note: I’ve noticed that many assessments involve AI prompting. I want to understand how this aligns with the course’s practical outcomes?

Honestly, comparing my answers with the AI’s made me realize that I understood the basics, but the AI helped explain things in a clearer and more detailed way. It was like having someone rephrase my thoughts and fill in the gaps I didn’t know I had.

One thing I learned about IT:

I used to think interpreting was just translating words, but now I get that it’s really about making sure the message makes sense to the listener. The “bun and raisins” example stuck with me — it’s not about keeping every word in the same place, it’s about keeping the flavour of the message.

What captured my attention most is the ideology that interpreters go through three crucial steps: comprehension, deverbalization, and reformulation. This process assists the interpreter to fully comprehend the speaker’s message, separate it from the original language, and then express it naturally in the target language. I found this super beneficial in sensitive contexts, such as education or law, where tone and cultural understanding matter just as much as the words themselves.

For instance, in a parent-teacher meeting, a phrase like “your son needs to improve his attitude” might be too harsh if translated literally. IT teaches us that the interpreter should instead focus on the teacher’s intent and reformulate the message in a way that respects the parents' cultural expectation like saying “The teacher hopes your son can be more cooperative.” This approach not only avoids misunderstandings but also foster trust between the speaker and listener.

From this theory, I also learned that interpreters must use their background knowledge, cultural awareness, and emotional intelligence to ensure that the message is delivered accurately and appropriately. It is not just about language it is about human communication.

The usage of AI in this task also brought me in new insights. The prompt to insert in the AI chat was like a training ground for me like to think and act like a translator and interpreter like how they use their prior knowledge, linguistic choice in their field. I was really ambitious when constructing prompt for the AI to tweak its response based on my criteria’s.

In conclusion, Interpretive Theory has helped me appreciate that interpretation is a thoughtful process tailored to the context. It is about understanding your audience, not just words. This theory will definitely guide the way I approach translation tasks in the future, especially when clarity, empathy, and cultural sensitivity are essential.

I learned that IT is centered on understanding and conveying the speaker’s intended meaning (sense), not just translating words. The concept of deverbalization—mentally detaching the message from its original language before reformulating it—is especially powerful. It shows that effective interpreting is a cognitive and communicative act, not just a linguistic one.

I gained a deeper understanding that Interpretive Theory emphasizes sense over words meaning that interpreters prioritize the intended message and context rather than translating each word literally. This approach highlights the importance of comprehension and reformulation in effective communication.

I learned that Interpretive Theory (IT) emphasizes conveying the sense of a message rather than translating words literally. This involves understanding the speaker’s intention, using context and background knowledge, and reformulating the message naturally in the target language to ensure effective communication.

By uploading the article and instructing the AI to summarize its main ideas and highlight differences from other translation theories, I was able to compare the AI’s structured and detailed analysis with my notes that were taken from the article. Therefore, I can say that incorporating AI tools helps me a lot when it comes to critical thinking.

One key insight I gained is that deverbalisation, an essential part of interpreting, enables the interpreter to detach meaning from the original words, allowing them to reformulate the message idiomatically in the target language. This step proves that a deep understanding is more valuable than memorising vocabulary in professional interpretation.

Using AI for this task was highly beneficial. It provided clear, structured explanations that helped break down complex theoretical ideas into simple, understandable points. Comparing my notes with the AI's output helped me identify areas where I could expand my thinking and use more precise academic language.

I learned that Interpretive Theory (IT) is all about understanding the meaning behind what is said, then expressing it naturally in another language. It focuses on sense, context, and the listener’s understanding, not just translating words.

The key insight that I gained was how understanding the context of a situation is essential for accurate interpretation as meaning isn’t just about the words. I also learnt that AI provides a more sophisticated explanation of a certain topic and my observations are rather simple and concise. This is why AI is an important tool that can help us understand something and provide us with a thorough understanding.