2024/07/28 by Boris Orekhov, Борис Орехов, Orekhov, Boris · 1 voice
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Advanced Text Analysis Techniques
paper · pdf · doi:10.48550/arxiv.2407.19600
In this paper, I apply linguistic methods of analysis to non-linguistic data, chess plays, metaphorically equating one with the other and seeking analogies. Chess game notations are also a kind of text, and one can consider the records of moves or positions of pieces as words and statements in a certain language. In this article I show how word embeddings (word2vec) can work on chess game texts instead of natural language texts. I don't see how this representation of chess data can be used productively. It's unlikely that these vector models will help engines or people choose the best move. But in a purely academic sense, it's clear that such methods of information representation capture something important about the very nature of the game, which doesn't necessarily lead to a win.