2 citations · 8 across the 18 of their papers we have counts for
15 papers · 1 filter
CS-FLEURS: A Massively Multilingual and Code-Switched Speech Dataset
Brian Yan, Injy Hamed, Shuichiro Shimizu +24
We present CS-FLEURS, a new dataset for developing and evaluating code-switched speech recognition and translation systems beyond high-resourced languages. CS-FLEURS consists of 4…
BALSAM: A Platform for Benchmarking Arabic Large Language Models
Rawan Al-Matham, Kareem Darwish, Raghad Al-Rasheed +40
The impressive advancement of Large Language Models (LLMs) in English has not been matched across all languages. In particular, LLM performance in Arabic lags behind, due to data s…
CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation
Emilio Villa-Cueva, Sholpan Bolatzhanova, Diana Turmakhan +32
Translating cultural content poses challenges for machine translation systems due to the differences in conceptualizations between cultures, where language alone may fail to convey…
The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASR
Injy Hamed, Ngoc Thang Vu, Nizar Habash
Code-switching, the act of alternating between languages, emerged as a prevalent global phenomenon that needs to be addressed for building user-friendly language technologies. A ma…
A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions
Injy Hamed, Caroline Sabty, Slim Abdennadher +3
Language in the Arab world presents a complex diglossic and multilingual setting, involving the use of Modern Standard Arabic, various dialects and sub-dialects, as well as multipl…
NADI 2024: The Fifth Nuanced Arabic Dialect Identification Shared Task
Muhammad Abdul-Mageed, Amr Keleg, AbdelRahim Elmadany +5
We describe the findings of the fifth Nuanced Arabic Dialect Identification Shared Task (NADI 2024). NADI's objective is to help advance SoTA Arabic NLP by providing guidance, data…
ZAEBUC-Spoken: A Multilingual Multidialectal Arabic-English Speech Corpus
Injy Hamed, Fadhl Eryani, David Palfreyman +1
We present ZAEBUC-Spoken, a multilingual multidialectal Arabic-English speech corpus. The corpus comprises twelve hours of Zoom meetings involving multiple speakers role-playing a…
Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study
Injy Hamed, Nizar Habash, Ngoc Thang Vu
Code-switching (CSW) text generation has been receiving increasing attention as a solution to address data scarcity. In light of this growing interest, we need more comprehensive s…
ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - English
Injy Hamed, Nizar Habash, Slim Abdennadher +1
We present our work on collecting ArzEn-ST, a code-switched Egyptian Arabic - English Speech Translation Corpus. This corpus is an extension of the ArzEn speech corpus, which was c…
Exploring Segmentation Approaches for Neural Machine Translation of Code-Switched Egyptian Arabic-English Text
Marwa Gaser, Manuel Mager, Injy Hamed +3
Data sparsity is one of the main challenges posed by code-switching (CS), which is further exacerbated in the case of morphologically rich languages. For the task of machine transl…
The Who in Code-Switching: A Case Study for Predicting Egyptian Arabic-English Code-Switching Levels based on Character Profiles
Injy Hamed, Alia El Bolock, Cornelia Herbert +2
Code-switching (CS) is a common linguistic phenomenon exhibited by multilingual individuals, where they tend to alternate between languages within one single conversation. CS is a…
Investigating Lexical Replacements for Arabic-English Code-Switched Data Augmentation
Injy Hamed, Nizar Habash, Slim Abdennadher +1
Data sparsity is a main problem hindering the development of code-switching (CS) NLP systems. In this paper, we investigate data augmentation techniques for synthesizing dialectal…
Predicting User Code-Switching Level from Sociological and Psychological Profiles
Injy Hamed, Alia El Bolock, Nader Rizk +3
Multilingual speakers tend to alternate between languages within a conversation, a phenomenon referred to as "code-switching" (CS). CS is a complex phenomenon that not only encompa…
Investigations on Speech Recognition Systems for Low-Resource Dialectal Arabic-English Code-Switching Speech
Injy Hamed, Pavel Denisov, Chia-Yu Li +3
Code-switching (CS), defined as the mixing of languages in conversations, has become a worldwide phenomenon. The prevalence of CS has been recently met with a growing demand and in…
Code-switching Language Modeling With Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English
Injy Hamed, Moritz Zhu, Mohamed Elmahdy +2
Code-switching (CS) is a widespread phenomenon among bilingual and multilingual societies. The lack of CS resources hinders the performance of many NLP tasks. In this work, we expl…