Papers by Injy Hamed
Exploring Segmentation Approaches for Neural Machine Translation of Code-Switched Egyptian Arabic-English Text (2023.eacl-main)
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| Challenge: | Code-switching (CS) is a problem in machine translation, but its performance is not investigated for CS settings. |
| Approach: | They propose to use morphological segmentation techniques for machine translation tasks . they compare morphology-based and frequency-based segmentation for MT tasks based on data size . |
| Outcome: | The proposed approach performs best in MT tasks but under-performs in other languages. |
ZAEBUC-Spoken: A Multilingual Multidialectal Arabic-English Speech Corpus (2024.lrec-main)
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| Challenge: | a corpus of multilingual Arabic-English speech is presented in a new paper . a major bottleneck is the lack of data needed for training NLP models . |
| Approach: | They propose a multilingual multidialectal Arabic-English speech corpus with a set of guidelines for automatic speech recognition. |
| Outcome: | The proposed corpus includes two languages with Arabic and English spoken in multiple variants and Arabic and Arabic with various accents. |
A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions (2025.coling-main)
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| Challenge: | Code-switching (CSW) is a common linguistic phenomenon in multilingual societies . current literature on CSW in the arab world is limited to the Arabic language . |
| Approach: | They present a review of the literature in the field of code-switched Arabic NLP . they propose recommendations for future research . |
| Outcome: | This review provides a broad perspective on the current literature in the field of code-switched Arabic NLP . it also provides recommendations for future research . |
CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation (2025.findings-emnlp)
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Emilio Villa-Cueva, Sholpan Bolatzhanova, Diana Turmakhan, Kareem Elzeky, Henok Biadglign Ademtew, Alham Fikri Aji, Vladimir Araujo, Israel Abebe Azime, Jinheon Baek, Frederico Belcavello, Fermin Cristobal, Jan Christian Blaise Cruz, Mary Dabre, Raj Dabre, Toqeer Ehsan, Naome A Etori, Fauzan Farooqui, Jiahui Geng, Guido Ivetta, Thanmay Jayakumar, Soyeong Jeong, Zheng Wei Lim, Aishik Mandal, Sofía Martinelli, Mihail Minkov Mihaylov, Daniil Orel, Aniket Pramanick, Sukannya Purkayastha, Israfel Salazar, Haiyue Song, Tiago Timponi Torrent, Debela Desalegn Yadeta, Injy Hamed, Atnafu Lambebo Tonja, Thamar Solorio
| Challenge: | a human-curated benchmark of over 5,800 triples of images is used to evaluate multimodal translation systems. |
| Approach: | They introduce a human-curated benchmark of over 5,800 triples of images along with parallel captions in English and regional languages. |
| Outcome: | The results show that visual context improves translation quality in culturally-specific items . |
Collection and Analysis of Code-switch Egyptian Arabic-English Speech Corpus (L18-1)
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| Challenge: | despite of the great demand, there is still a huge shortage in available corpora for dialectal languages and code-switched speech. |
| Approach: | They collect conversational Egyptian Arabic spontaneous speech, extract transcriptions and analyze it from a code-switching perspective. |
| Outcome: | The authors collect conversational Egyptian Arabic spontaneous speech, extract transcriptions and analyze speech from the code-switching perspective. |
Cairo Student Code-Switch (CSCS) Corpus: An Annotated Egyptian Arabic-English Corpus (2020.lrec-1)
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| Challenge: | Code-switching is a phenomenon commonly observed in the Arabicspeaking world . there is still a huge gap in the available resources and NLP applications . |
| Approach: | They propose a corpus of Egyptian- Arabic code-switch speech data that is fully tokenized, lemmatized and annotated for part-of-speech tags. |
| Outcome: | The proposed corpus of Egyptian- Arabic code-switch speech data is fully tokenized, lemmatized and annotated for part-of-speech tags. |
Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study (2023.findings-emnlp)
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| Challenge: | Code-switching (CSW) text generation is a popular solution to address data scarcity. |
| Approach: | They compare linguistic theories, lexical replacements and back-translation approaches to Egyptian Arabic-English CSW. |
| Outcome: | The proposed methods perform best on machine translation and quality evaluation. |
ArzEn: A Speech Corpus for Code-switched Egyptian Arabic-English (2020.lrec-1)
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| Challenge: | a corpus of Arabic-English code-switching (CS) spontaneous speech is collected in an Egyptian university soundproof room . the language in Egypt is rather complex and poses many challenges to natural language processing (NLP) |
| Approach: | They present an Egyptian Arabic-English code-switching (CS) spontaneous speech corpus. |
| Outcome: | The proposed corpus is designed to be used in automatic speech recognition systems . it provides a useful resource for analyzing the CS phenomenon from linguistic, sociological, and psychological perspectives. |