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Abstract
In the field of generative syntax, the literature proposes conceptual notions of labeling or labeling algorithms to interpret the categorization / or parts of speech of a given syntactic object. Building on this mechanism, we put forth the argument that a revised feature percolation principle (FPP) is a necessary supplement to effectively categorize linguistic items, and it should be applied at each merge operation. The study demonstrates that s-selection and categorial features (binary specifications of [V] and [N]) serve the crucial role of labeling from lexical representations to phrasal representations. This process illustrates the categorization process for merge (X, Y) → {H {X, Y}}. To test the minimalist treatment of this principle, we conduct an examination of data from both English and Mandarin Chinese languages. I compare several approaches by which labeling can be done in syntax. These approaches include: (a) through merge (Chomsky 1995), (b) through movement / or minimal search (Chomsky 2013, Epstein et al. 2014, and Rizzi 2012), and (c) through probing (Cecchetto & Donati 2010). Through empirical evidence, this study demonstrates that a feature percolation analysis effectively addresses the issues arising from a minimal search in both merge (XP, YP) and the merge (X, Y) problem. Furthermore, we derive constructions like VP ellipsis and VP fronting. Theoretically, this approach is well-motivated by the principle of compositionality found in linguistic items, and it offers a more economical labeling method. In empirical testing, we apply this configuration and mechanism to examine additional structures.