Building an Interactive NLP Tool for Assisting Human Poets in Real-Time Composition

This paper explores the creation of an interactive Natural Language Processing (NLP) tool aimed at assisting human poets in real-time composition. Poetry, as a unique form of artistic expression, intertwines linguistic creativity with emotional depth, making the integration of technology a compelling avenue for enhancing the creative writing process. The primary objective of this project is to develop an intuitive and responsive tool that supports poets in generating ideas, refining language, and experimenting with poetic structures. The tool employs state-of-the-art NLP algorithms, including deep learning models trained on diverse corpora of poetry, to analyze input text and provide contextualized feedback. Key functionalities include thematic suggestion generation, stylistic analysis, and structural recommendations, allowing poets to explore various poetic forms and devices dynamically. By facilitating a dialogue between the user and the tool, we aim to foster a collaborative creative environment that encourages experimentation and innovation. To assess the tool's impact on the creative process, we conducted a series of iterative design phases coupled with user testing involving both novice and experienced poets. Participants engaged with the tool in various poetic tasks, providing qualitative and quantitative data on their experiences. Initial findings suggest that users reported heightened engagement and inspiration, with many expressing that the tool helped them overcome creative blocks. Furthermore, the feedback mechanisms embedded within the tool enabled poets to gain insights into their writing, promoting a deeper understanding of poetic techniques and enhancing their overall skill. This research contributes to the burgeoning field of computational creativity and underscores the potential of technology to augment artistic practices. By examining the intersection of NLP and the arts, we not only highlight the innovative capabilities of our tool but also propose directions for future research in digital humanities. As we move forward, we envision expanding the tool’s functionalities to include collaborative features, multilingual support, and integration with other artistic mediums, thus broadening its applicability in creative contexts. Ultimately, this project aims to redefine the role of technology in poetry, transforming it from a mere tool into a true partner in the creative journey.