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A Simple Yet Robust Algorithm for Automatic Extraction of Parallel Sentences: A Case Study on Arabic-English Wikipedia Articles paper by Independent / Community
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Paper

A Simple Yet Robust Algorithm for Automatic Extraction of Parallel Sentences: A Case Study on Arabic-English Wikipedia Articles

by Independent / Community 021517526fdd819216f707d62eaaea5aeab0fabe
Free2AITools Nexus Index
64.7
S: Semantic 50

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A: Authority 74
P: Popularity 49
R: Recency 100
Q: Quality 65
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Parallel corpora are vital components in several applications of Natural Language Processing (NLP), particularly in machine translation. In this paper, we present a novel method for automatically creating parallel sentences from comparable corpora. The method requires a bilingual dictionary as well as an adequate word-vectorisation method. We use Arabic and English Wikipedia as a comparable corpus to apply our proposed method and construct a parallel corpus between Arabic and English. The cre...

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Semantic Scholar 7 Citations
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Registry ID 021517526fdd819216f707d62eaaea5aeab0fabe
License ArXiv
Provider semantic_scholar
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BibTeX 
@misc{021517526fdd819216f707d62eaaea5aeab0fabe,
  author = {Unknown},
  title = {A Simple Yet Robust Algorithm for Automatic Extraction of Parallel Sentences: A Case Study on Arabic-English Wikipedia Articles Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/021517526fdd819216f707d62eaaea5aeab0fabe}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). A Simple Yet Robust Algorithm for Automatic Extraction of Parallel Sentences: A Case Study on Arabic-English Wikipedia Articles [Paper]. Free2AITools. https://api.semanticscholar.org/021517526fdd819216f707d62eaaea5aeab0fabe

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βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 74
Popularity (P) 49
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for A Simple Yet Robust Algorithm for Automatic Extraction of Parallel Sentences: A Case Study on Arabic-English Wikipedia Articles: Authority (A:74), Popularity (P:49), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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πŸ“ Executive Summary

"Parallel corpora are vital components in several applications of Natural Language Processing (NLP), particularly in machine translation. In this paper, we present a novel method for automatically creating parallel sentences from comparable corpora. The method requires a bilingual dictionary as well as an adequate word-vectorisation method. We use Arabic and English Wikipedia as a comparable corpus to apply our proposed method and construct a parallel corpus between Arabic and English. The cre..."

❝ Cite Node 

@article{Unknown2026A,
  title={A Simple Yet Robust Algorithm for Automatic Extraction of Parallel Sentences: A Case Study on Arabic-English Wikipedia Articles},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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πŸ“ˆ7CitationsSemantic Scholar
πŸ›οΈ74AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
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🏷️ Research Topics

vector databases
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semantic_scholar
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Unknown
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ArXiv
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paper, research, academic

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params billions
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