Comparative analysis Case (Haal) in Arabic syntax and semantic equivalents role of grammar in Persian
Summary
The paper looks at how Arabic ḥāl (Haal), the circumstantial or "manner" element, is rendered in Persian. Translation textbooks usually tell translators to render it as an adverb. The authors test that advice against real translation practice. They take Qur'anic verses from the start of Surah Al-Baqarah through the end of Surah Al-Furqan and align them with well-known classical and contemporary Persian translations. They then tag which Persian grammatical role each Arabic ḥāl received, using the terminology of the Persian grammars by Vahidian Kamyar and by Givi & Anvari, and count the results. Two kinds are studied: the single-word ḥāl and the clausal ḥāl (nominal or verbal); the prepositional type is left out. Single-word ḥāl turns out to take many Persian forms, though the adverb or adverbial group remains the most frequent and the clearest choice. Clausal ḥāl is nearly always turned into a subordinate clause. The study gives translators a wider set of documented options than textbooks currently offer.
Key points
- The sample has 150 clausal ḥāl items (90 nominal, 60 verbal), plus single-word ḥāl items, all drawn from Al-Baqarah to Al-Furqan and compared across several Persian Qur'an translations.
- Single-word ḥāl shows up in Persian in these roles, in descending order of frequency:
- adverb;
- adverbial or verbal complement, with adverbial complements about four times as common as verbal ones;
- clause;
- predicate with copulas such as "is/was/become";
- verb, object (8 cases) and genitive noun, which are rarer.
- Clausal ḥāl: 143 of 150 items became dependent clauses and only 7 became independent sentences. All 7 independent cases were nominal; every verbal item was rendered as a dependent clause.
- The authors argue that a dependent clause works best because the Arabic clausal ḥāl belongs to a larger semantic unit and describes the agent's state.
- They note that the counts may shift with genre, for example scientific or literary texts.
Interesting ideas
- I1. Instead of a fixed one-to-one rule, the paper treats a single source construction as a frequency distribution over target realizations, measured from aligned human translations. — For Mova (back): when generating English from a frame carrying a depictive state, the generator could choose among adverb, participial clause or copular predicate using observed frequencies, rather than always producing an adverb.
- I2. Semantically, the ḥāl describes the state of the subject or object during the event, not the manner of the event itself. — For Mova (frames): depictives like "he arrived tired" could be linked as a state of the participant rather than an event modifier, so the right entity gets the attribute.
- I3. The same idea implies time-anchored states: a depictive says what was true of an entity at the moment of one event. — For Mova (world): the text world could record such states with a validity window tied to that event, which helps answer "how was X when Y happened" without assuming the state persists.
- I4. The paper separates obligatory complements from optional ones by asking whether the element can be dropped without breaking the sentence. — For Mova (tree): a deletion test like this could serve as a cheap check when the parser or VerbNet role assignment wavers between argument and adjunct for secondary predicates.
- I5. Several independent translations of the same text act as parallel evidence of which constructions are interchangeable. — For Mova (learn): multiple translations or paraphrases of one source could serve as witnesses for mining construction alternations, with agreement across witnesses filtering out noise.
Cite
@inproceedings{vahdanifar2021comparative,
title = {{Comparative analysis Case (Haal) in Arabic syntax and semantic equivalents role of grammar in Persian}},
author = {Vahdanifar, Omid and Izanlo, Omid and Abbasi, Mahmod and Alipour, Esmaeil},
booktitle = {ادبیات تطبیقی 13},
year = {2021},
doi = {10.22103/jcl.2021.2876},
url = {https://doi.org/10.22103/jcl.2021.2876}
}This page in Markdown → https://md.research.elamur.ai/free/en/papers/vahdanifar-2021-comparative-analysis-case-haal-arabic/