CLMay 17, 2024

The Arabic Noun System Generation

arXiv:2405.11014v12 citationsh-index: 13
Originality Synthesis-oriented
AI Analysis

This work addresses a specific linguistic problem in Arabic morphology for computational linguists, representing an incremental improvement over previous analyses.

The paper tackles the challenge of modeling Arabic noun morphology, particularly broken plurals, by proposing a multiple-stem approach that eliminates the need for complex truncation rules and instead uses pre-specified affixes for sound plurals, leading to more generalizable morphological systems.

In this paper, we show that the multiple-stem approach to nouns with a broken plural pattern allows for greater generalizations to be stated in the morphological system. Such an approach dispenses with truncating/deleting rules and other complex rules that are required to account for the highly allomorphic broken plural system. The generation of inflected sound nouns necessitates a pre-specification of the affixes denoting the sound plural masculine and the sound plural feminine, namely uwna and aAt, in the lexicon. The first subsection of section one provides an evaluation of some of the previous analyses of the Arabic broken plural. We provide both linguistic and statistical evidence against deriving broken plurals from the singular or the root. In subsection two, we propose a multiple stem approach to the Arabic Noun Plural System within the Lexeme-based Morphology framework. In section two, we look at the noun inflection of Arabic. Section three provides an implementation of the Arabic Noun system in MORPHE. In this context, we show how the generalizations discussed in the linguistic analysis section are captured in Morphe using the equivalencing nodes.

Foundations

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