activity
20162026
most citedDyNet: The Dynamic Neural Network Toolkit

343 citations · 620 across the 68 of their papers we have counts for

collaborators
Showing 2023Show all

15 papers · 1 filter

cs.CL2023

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…

cs.CL2023★ 1 cited

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,…

cs.CL2023

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…

cs.CL2023

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…

cs.CL2023

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…

cs.CL2023

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…

cs.CL2023

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…

cs.CL2023★ 2 cited

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…

cs.CL2023★ 3 cited

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…

cs.CL2023

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…

cs.CL2023

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…

cs.CL2023

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…

cs.CL2023

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…

cs.CL2023★ 1 cited

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…

cs.CL2023

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…