343 citations · 620 across the 68 of their papers we have counts for
81 papers
IDIOLEX: Unified and Continuous Representations for Idiolectal and Stylistic Variation
Anjali Kantharuban, Aarohi Srivastava, Fahim Faisal +5
Existing sentence representations primarily encode what a sentence says, rather than how it is expressed, even though the latter is important for many applications. In contrast, we…
GMU Systems for the IWSLT 2025 Low-Resource Speech Translation Shared Task
Chutong Meng, Antonios Anastasopoulos
This paper describes the GMU systems for the IWSLT 2025 low-resource speech translation shared task. We trained systems for all language pairs, except for Levantine Arabic. We fine…
CMULAB: An Open-Source Framework for Training and Deployment of Natural Language Processing Models
Zaid Sheikh, Antonios Anastasopoulos, Shruti Rijhwani +3
Effectively using Natural Language Processing (NLP) tools in under-resourced languages requires a thorough understanding of the language itself, familiarity with the latest models…
Language and Speech Technology for Central Kurdish Varieties
Sina Ahmadi, Daban Q. Jaff, Md Mahfuz Ibn Alam +1
Kurdish, an Indo-European language spoken by over 30 million speakers, is considered a dialect continuum and known for its diversity in language varieties. Previous studies address…
A Case Study on Filtering for End-to-End Speech Translation
Md Mahfuz Ibn Alam, Antonios Anastasopoulos
It is relatively easy to mine a large parallel corpus for any machine learning task, such as speech-to-text or speech-to-speech translation. Although these mined corpora are large…
A Morphologically-Aware Dictionary-based Data Augmentation Technique for Machine Translation of Under-Represented Languages
Md Mahfuz Ibn Alam, Sina Ahmadi, Antonios Anastasopoulos
The availability of parallel texts is crucial to the performance of machine translation models. However, most of the world's languages face the predominant challenge of data scarci…
Teacher Perception of Automatically Extracted Grammar Concepts for L2 Language Learning
Aditi Chaudhary, Arun Sampath, Ashwin Sheshadri +2
One of the challenges in language teaching is how best to organize rules regarding syntax, semantics, or phonology in a meaningful manner. This not only requires content creators t…
To token or not to token: A Comparative Study of Text Representations for Cross-Lingual Transfer
Md Mushfiqur Rahman, Fardin Ahsan Sakib, Fahim Faisal +1
Choosing an appropriate tokenization scheme is often a bottleneck in low-resource cross-lingual transfer. To understand the downstream implications of text representation choices,…
Cross-Modal Multi-Tasking for Speech-to-Text Translation via Hard Parameter Sharing
Brian Yan, Xuankai Chang, Antonios Anastasopoulos +2
Recent works in end-to-end speech-to-text translation (ST) have proposed multi-tasking methods with soft parameter sharing which leverage machine translation (MT) data via secondar…
Enhancing End-to-End Conversational Speech Translation Through Target Language Context Utilization
Amir Hussein, Brian Yan, Antonios Anastasopoulos +2
Incorporating longer context has been shown to benefit machine translation, but the inclusion of context in end-to-end speech translation (E2E-ST) remains under-studied. To bridge…
Zambezi Voice: A Multilingual Speech Corpus for Zambian Languages
Claytone Sikasote, Kalinda Siaminwe, Stanly Mwape +6
This work introduces Zambezi Voice, an open-source multilingual speech resource for Zambian languages. It contains two collections of datasets: unlabelled audio recordings of radio…
BIG-C: a Multimodal Multi-Purpose Dataset for Bemba
Claytone Sikasote, Eunice Mukonde, Md Mahfuz Ibn Alam +1
We present BIG-C (Bemba Image Grounded Conversations), a large multimodal dataset for Bemba. While Bemba is the most populous language of Zambia, it exhibits a dearth of resources…
Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities
Sina Ahmadi, Antonios Anastasopoulos
The wide accessibility of social media has provided linguistically under-represented communities with an extraordinary opportunity to create content in their native languages. This…
GlobalBench: A Benchmark for Global Progress in Natural Language Processing
Yueqi Song, Catherine Cui, Simran Khanuja +9
Despite the major advances in NLP, significant disparities in NLP system performance across languages still exist. Arguably, these are due to uneven resource allocation and sub-opt…
CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation
Md Mahfuz Ibn Alam, Sina Ahmadi, Antonios Anastasopoulos
Neural machine translation (NMT) systems exhibit limited robustness in handling source-side linguistic variations. Their performance tends to degrade when faced with even slight de…
LIMIT: Language Identification, Misidentification, and Translation using Hierarchical Models in 350+ Languages
Milind Agarwal, Md Mahfuz Ibn Alam, Antonios Anastasopoulos
Knowing the language of an input text/audio is a necessary first step for using almost every NLP tool such as taggers, parsers, or translation systems. Language identification is a…
GMNLP at SemEval-2023 Task 12: Sentiment Analysis with Phylogeny-Based Adapters
Md Mahfuz Ibn Alam, Ruoyu Xie, Fahim Faisal +1
This report describes GMU's sentiment analysis system for the SemEval-2023 shared task AfriSenti-SemEval. We participated in all three sub-tasks: Monolingual, Multilingual, and Zer…
PALI: A Language Identification Benchmark for Perso-Arabic Scripts
Sina Ahmadi, Milind Agarwal, Antonios Anastasopoulos
The Perso-Arabic scripts are a family of scripts that are widely adopted and used by various linguistic communities around the globe. Identifying various languages using such scrip…
Approaches to Corpus Creation for Low-Resource Language Technology: the Case of Southern Kurdish and Laki
Sina Ahmadi, Zahra Azin, Sara Belelli +1
One of the major challenges that under-represented and endangered language communities face in language technology is the lack or paucity of language data. This is also the case of…
User-Centric Evaluation of OCR Systems for Kwak'wala
Shruti Rijhwani, Daisy Rosenblum, Michayla King +2
There has been recent interest in improving optical character recognition (OCR) for endangered languages, particularly because a large number of documents and books in these langua…
Noisy Parallel Data Alignment
Ruoyu Xie, Antonios Anastasopoulos
An ongoing challenge in current natural language processing is how its major advancements tend to disproportionately favor resource-rich languages, leaving a significant number of…
Geographic and Geopolitical Biases of Language Models
Fahim Faisal, Antonios Anastasopoulos
Pretrained language models (PLMs) often fail to fairly represent target users from certain world regions because of the under-representation of those regions in training datasets.…
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey
Sachin Kumar, Vidhisha Balachandran, Lucille Njoo +2
Recent advances in the capacity of large language models to generate human-like text have resulted in their increased adoption in user-facing settings. In parallel, these improveme…
Teacher Perception of Automatically Extracted Grammar Concepts for L2 Language Learning
Aditi Chaudhary, Arun Sampath, Ashwin Sheshadri +2
One of the challenges of language teaching is how to organize the rules regarding syntax, semantics, or phonology of the language in a meaningful manner. This not only requires ped…