What is one limitation of traditional NLP techniques?

Traditional NLP techniques often struggle with understanding context and nuances within language. These techniques typically rely on predefined rules and patterns, which can limit their ability to interpret meaning derived from context or infer intentions behind words. Language is rich with subtleties, such as idioms, sarcasm, or cultural references, which are challenging for rule-based or shallow learning models to grasp.

In many cases, traditional approaches do not take into account the larger context of a conversation or the emotional tone in which something is said. This limitation means that while a system may recognize words and phrases, it may misinterpret user intent or fail to respond appropriately in complex or ambiguous situations. As a result, newer models that utilize machine learning and deep learning techniques have been developed to better capture these aspects of language, allowing for more nuanced and context-aware interactions.