Human language, while aimed at conveying meaning, inherently carries ambiguity. It poses challenges for speech and language processing, but also serves crucial communicative functions. Efficiently solve ambiguity is both a desired and a necessary characteristic. The lexical meaning of a word in context can be determined automatically by Word Sense Disambiguation (WSD) algorithms that rely on external knowledge often limited and biased toward English. When adapting content to other languages, automated translations are frequently inaccurate and a high degree of expert human validation is necessary to ensure both accuracy and understanding. The current study addresses previous limitations by introducing a new resource for Spanish WSD. It includes a sense inventory and a lexical dataset sourced from the Diccionario de la Lengua Espa\~nola which is maintained by the Real Academia Espa\~nola. We also review current resources for Spanish and report metrics on them by a state-of-the-art system.

本研究解决了西班牙语词义消歧过程中的资源不足问题，提出了一种新的词义库存和词汇数据集，旨在提高机器对西班牙语的理解和翻译准确性。研究表明，该资源能够有效支持词义消歧的算法，并为未来的应用提供了可靠的评估基准。

西班牙语中的词义消歧：全面的词汇评估资源