Home ›
Entities
› academia
› Semantically annotated corpus model of Indonesian Translation of Quran: An effort in increasing question answering system performance
Semantically annotated corpus model of Indonesian Translation of Quran: An effort in increasing question answering system performance
Research article (2016 4th International Conference on Cyber and IT Service Management, 2016) · cited 12× · AI/ML
Semantically annotated corpus model of Indonesian Translation of Quran: An effort in increasing question answering system performance
Summary
Semantically annotated corpus model of Indonesian Translation of Quran: An effort in increasing question answering system performance is a scholarly article[1].
Key Facts
Semantically annotated corpus model of Indonesian Translation of Quran: An effort in increasing question answering system performance's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Semantically annotated corpus model of Indonesian Translation of Quran: An effort in increasing question answering system performance. Retrieved May 24, 2026, from https://4ort.xyz/entity/semantically-annotated-corpus-model-of-indonesian-translation-of-quran-an-effort-in-increasing-question-answering-system
MLA“Semantically annotated corpus model of Indonesian Translation of Quran: An effort in increasing question answering system performance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/semantically-annotated-corpus-model-of-indonesian-translation-of-quran-an-effort-in-increasing-question-answering-system.
BibTeX@misc{4ortxyz_semantically-annotated-corpus-model-of-indonesian-translation-of-quran-an-effort-in-increasing-question-answering-system_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Semantically annotated corpus model of Indonesian Translation of Quran: An effort in increasing question answering system performance}}, year = {2026}, url = {https://4ort.xyz/entity/semantically-annotated-corpus-model-of-indonesian-translation-of-quran-an-effort-in-increasing-question-answering-system}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Semantically annotated corpus model of Indonesian Translation of Quran: An effort in increasing question answering system performance — https://4ort.xyz/entity/semantically-annotated-corpus-model-of-indonesian-translation-of-quran-an-effort-in-increasing-question-answering-system (retrieved 2026-05-24)
