---
title: "Omri Suissa — papers and cards"
description: "Omri Suissa: 2 paper cards in the Research library (2023), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/omri-suissa/"
---
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# Omri Suissa

2 paper cards in the Research library · 2023

Omri Suissa wrote 2 of the papers Mova reads, in 2023; often with [Avshalom Elmalech](https://md.research.elamur.ai/free/en/authors/avshalom-elmalech/), [Maayan Zhitomirsky-Geffet](https://md.research.elamur.ai/free/en/authors/maayan-zhitomirsky-geffet/).

[OpenAlex](https://openalex.org/A5081395585) · [ORCID](https://orcid.org/0000-0002-9703-2222) · [**h-index 4**](https://openalex.org/authors/A5081395585) · [108 citations](https://openalex.org/authors/A5081395585) · [11 works](https://openalex.org/works?filter=author.id:A5081395585) — openalex-snapshot, 2026-10-14

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Omri+Suissa) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Omri+Suissa) · [dblp](https://dblp.org/search?q=Omri+Suissa) · [ACL Anthology](https://aclanthology.org/search/?q=Omri+Suissa) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Omri+Suissa)

## Papers

1. **[Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts](https://md.research.elamur.ai/free/en/papers/hbo-2023-suissa-toward-period-specific-optimized-neural/)** *(2023)* The full version of the authors' work on Hebrew OCR post-correction. They align 70% of hand-corrected JPress newspaper articles with their OCR output (Needleman–Wunsch) to learn character-level, period-specific confusions — the commonest being ח→ה (about 8%), ד→ר (5%), ג→נ, ב→כ, ם→ס, ח→ת, ו↔י — and inject them into…
2. **[Optimizing the Neural Network Training for OCR Error Correction of Historical Hebrew Texts](https://md.research.elamur.ai/free/en/papers/hbo-2023-suissa-optimizing-neural-network-training-ocr/)** *(2023)* OCR of historical Hebrew newspapers (the JPress collection) is noisy, and neural post-correctors need large hand-corrected sets.

## Co-authors (2)

- [Avshalom Elmalech](https://md.research.elamur.ai/free/en/authors/avshalom-elmalech/) ×2
- [Maayan Zhitomirsky-Geffet](https://md.research.elamur.ai/free/en/authors/maayan-zhitomirsky-geffet/) ×2