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20172026
most citedChoosing Transfer Languages for Cross-Lingual Learning

33 citations · 137 across the 39 of their papers we have counts for

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cs.CL2026

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…

cs.CL2025

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…

cs.CL2024

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…

cs.CL2024

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…

cs.CL2024

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…

cs.CL2024

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…