Natural Language Processing: A Historical Perspective

When considering intelligent systems, language comprehension capabilities become critical. This belief formed a foundational principle for many early scientists in the field, leading to revolutionary natural language processing experiments such as ELIZA and SHRDLU.

ELIZA became one of the earliest recognized applications in this field. Its design mimicked a Carl Rogers School psychiatrist's responses, using pattern matching to emulate human interaction.

Another pioneering program, SHRDLU, crafted by Terry Winograd, was named after frequently used letters in English on linotype machines. The program responded in a simplified conversation format, providing minimal original contribution to the dialogue. It was aimed to encourage users to reveal their true feelings, much like a psychoanalyst's role.

Cog, Paro, designed to emulate human emotions and elicit emotional responses from their human counterparts. Sherry Turkle's research into relationships formed with these "relational artifacts" highlights the potential need for redefining human-robot interactions.

Eugene Charniak. Probabilistic rules obtained from the Penn Treebank and techniques such as Recurrent Neural Networks (RNNs), Long Short-Term Memory units (LSTMs), bidirectional LSTMs and BERT promise to further accelerate this field's development.