---
title: "Pamela Shapiro — author profile and papers"
description: "Pamela Shapiro, Johns Hopkins University: 2 papers on Elamur Research (2018–2019), h-index 5 — affiliations, topics, co-authors and who cites them in our…"
canonical: "https://research.elamur.ai/free/en/authors/pamela-shapiro/"
---
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# Pamela Shapiro

Pamela Shapiro has 2 papers in our library, in 2018–2019, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/); often with [Kevin Duh](https://md.research.elamur.ai/free/en/authors/kevin-duh/).

2 papers in our library · 2018–2019

[OpenAlex](https://openalex.org/A5054715496) · [**h-index 5**](https://openalex.org/authors/A5054715496) · [9 works](https://openalex.org/works?filter=author.id:A5054715496) · [202 citations](https://openalex.org/works?filter=author.id:A5054715496&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/pamela-shapiro/#papers) · [🔗 68 citations in our library](https://md.research.elamur.ai/free/en/authors/pamela-shapiro/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Star rank #4543](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4543)

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=Pamela+Shapiro) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Pamela+Shapiro) · [dblp](https://dblp.org/search?q=Pamela+Shapiro) · [ACL Anthology](https://aclanthology.org/search/?q=Pamela+Shapiro)

## Affiliations

[🎓**Johns Hopkins University** Baltimore · United States 2018–2019 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Topics

[Machine translation (2)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Semitic languages (2)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Low-resource languages (1)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Morphology (1)](https://md.research.elamur.ai/free/en/topics/morphology/)

## Works by year

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/papers/shapiro-2019-comparing-pipelined-integrated-approaches-dialectal/) · [**2018** 1 paper](https://md.research.elamur.ai/free/en/papers/shapiro-2018-morphological-word-embeddings-arabic-neural/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings](https://md.research.elamur.ai/free/en/papers/shapiro-2018-morphological-word-embeddings-arabic-neural/)** *(2018 · 25 citations)* Standard word embeddings are poor for rare words, and Arabic inflects heavily. The authors change the word2vec skip-gram objective so that the context is predicted from the word vector concatenated with a weighted average of lemma vectors, with lemmas from MADAMIRA. They test the embeddings on an Arabic word…
2. **[Comparing Pipelined and Integrated Approaches to Dialectal Arabic Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/shapiro-2019-comparing-pipelined-integrated-approaches-dialectal/)** *(2019 · 5 citations)* The paper asks how to translate Arabic into English when the dialect of the input sentence is unknown. One option is a pipeline: identify the dialect first, then send the sentence to a translation model tuned for that dialect. The other is a single multi-dialectal Transformer used for every input. The authors use LDC…

## Also in our library

2 more works of theirs are in our library without a page here yet; they will appear as we publish them.

## Co-authors here

1 co-author with a page, the most papers together first.

- [Kevin Duh](https://md.research.elamur.ai/free/en/authors/kevin-duh/) ×2

## Cited by

Papers of our library cite their works 68 times (of the 140,884 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/pamela-shapiro/cited-by/).
