Mohamed Al-Badrashiny

Mohamed Al-Badrashiny

Columbia University in the City of New York

H-index: 17

North America-United States

About Mohamed Al-Badrashiny

Mohamed Al-Badrashiny, With an exceptional h-index of 17 and a recent h-index of 13 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Natural Language Processing and Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Word-Level ASR Quality Estimation for Efficient Corpus Sampling and Post-Editing through Analyzing Attentions of a Reference-Free Metric

Evaluating multilingual speech translation under realistic conditions with resegmentation and terminology

Evolvemt: an ensemble mt engine improving itself with usage only

A reference-less quality metric for automatic speech recognition via contrastive-learning of a multi-language model with self-supervision

NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning

Gulf Arabic diacritization: Guidelines, initial dataset, and results

MTLens: Machine Translation Output Debugging

aixplain at arabic hate speech 2022: An ensemble based approach to detecting offensive tweets

Mohamed Al-Badrashiny Information

University

Position

___

Citations(all)

1698

Citations(since 2020)

859

Cited By

1287

hIndex(all)

17

hIndex(since 2020)

13

i10Index(all)

23

i10Index(since 2020)

15

Email

University Profile Page

Columbia University in the City of New York

Google Scholar

View Google Scholar Profile

Mohamed Al-Badrashiny Skills & Research Interests

Natural Language Processing and Machine Learning

Top articles of Mohamed Al-Badrashiny

Title

Journal

Author(s)

Publication Date

Word-Level ASR Quality Estimation for Efficient Corpus Sampling and Post-Editing through Analyzing Attentions of a Reference-Free Metric

arXiv preprint arXiv:2401.11268

Golara Javadi

Kamer Ali Yuksel

Yunsu Kim

Thiago Castro Ferreira

Mohamed Al-Badrashiny

2024/1/20

Evaluating multilingual speech translation under realistic conditions with resegmentation and terminology

Elizabeth Salesky

Kareem Darwish

Mohamed Al-Badrashiny

Mona Diab

Jan Niehues

2023/7

Evolvemt: an ensemble mt engine improving itself with usage only

arXiv preprint arXiv:2306.11823

Kamer Ali Yuksel

Ahmet Gunduz

Mohamed Al-Badrashiny

Shreyas Sharma

Hassan Sawaf

2023/6/20

A reference-less quality metric for automatic speech recognition via contrastive-learning of a multi-language model with self-supervision

Kamer Ali Yuksel

Thiago Ferreira

Ahmet Gunduz

Mohamed Al-Badrashiny

Golara Javadi

2023/6/4

NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning

arXiv preprint arXiv:2306.12577

Kamer Ali Yuksel

Thiago Ferreira

Golara Javadi

Mohamed El-Badrashiny

Ahmet Gunduz

2023/6/21

Gulf Arabic diacritization: Guidelines, initial dataset, and results

Nouf Alabbasi

Mohamed Al-Badrashiny

Maryam Aldahmani

Ahmed AlDhanhani

Abdullah Saleh Alhashmi

...

2022/12

MTLens: Machine Translation Output Debugging

Shreyas Sharma

Kareem Darwish

Lucas Pavanelli

Thiago Castro Ferreira

Mohamed Al-Badrashiny

...

2022/6

aixplain at arabic hate speech 2022: An ensemble based approach to detecting offensive tweets

Salaheddin Alzubi

Thiago Castro Ferreira

Lucas Pavanelli

Mohamed Al-Badrashiny

2022/6

See List of Professors in Mohamed Al-Badrashiny University(Columbia University in the City of New York)

Co-Authors

H-index: 56
Mona Diab

Mona Diab

George Washington University

H-index: 25
Mohammed Attia

Mohammed Attia

Dublin City University

H-index: 19
Ramy Eskander

Ramy Eskander

Columbia University in the City of New York

H-index: 14
Wael Salloum

Wael Salloum

Columbia University in the City of New York

H-index: 13
Abdelati Hawwari

Abdelati Hawwari

George Washington University

H-index: 7
Arfath Pasha

Arfath Pasha

Columbia University in the City of New York

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