343 citations · 620 across the 68 of their papers we have counts for
15 papers · 1 filter
Dataset Geography: Mapping Language Data to Language Users
Fahim Faisal, Yinkai Wang, Antonios Anastasopoulos
As language technologies become more ubiquitous, there are increasing efforts towards expanding the language diversity and coverage of natural language processing (NLP) systems. Ar…
Lexically Aware Semi-Supervised Learning for OCR Post-Correction
Shruti Rijhwani, Daisy Rosenblum, Antonios Anastasopoulos +1
Much of the existing linguistic data in many languages of the world is locked away in non-digitized books and documents. Optical character recognition (OCR) can be used to produce…
Systematic Inequalities in Language Technology Performance across the World's Languages
Damián Blasi, Antonios Anastasopoulos, Graham Neubig
Natural language processing (NLP) systems have become a central technology in communication, education, medicine, artificial intelligence, and many other domains of research and de…
SD-QA: Spoken Dialectal Question Answering for the Real World
Fahim Faisal, Sharlina Keshava, Md Mahfuz ibn Alam +1
Question answering (QA) systems are now available through numerous commercial applications for a wide variety of domains, serving millions of users that interact with them via spee…
Investigating Post-pretraining Representation Alignment for Cross-Lingual Question Answering
Fahim Faisal, Antonios Anastasopoulos
Human knowledge is collectively encoded in the roughly 6500 languages spoken around the world, but it is not distributed equally across languages. Hence, for information-seeking qu…
When is Wall a Pared and when a Muro? -- Extracting Rules Governing Lexical Selection
Aditi Chaudhary, Kayo Yin, Antonios Anastasopoulos +1
Learning fine-grained distinctions between vocabulary items is a key challenge in learning a new language. For example, the noun "wall" has different lexical manifestations in Span…
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam
Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit +1
Transliteration is very common on social media, but transliterated text is not adequately handled by modern neural models for various NLP tasks. In this work, we combine data augme…
On the Evaluation of Machine Translation for Terminology Consistency
Md Mahfuz ibn Alam, Antonios Anastasopoulos, Laurent Besacier +4
As neural machine translation (NMT) systems become an important part of professional translator pipelines, a growing body of work focuses on combining NMT with terminologies. In ma…
Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors
Junayed Mahmud, Fahim Faisal, Raihan Islam Arnob +2
Automated source code summarization is a popular software engineering research topic wherein machine translation models are employed to "translate" code snippets into relevant natu…
Machine Translation into Low-resource Language Varieties
Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner +1
State-of-the-art machine translation (MT) systems are typically trained to generate the "standard" target language; however, many languages have multiple varieties (regional variet…
Towards More Equitable Question Answering Systems: How Much More Data Do You Need?
Arnab Debnath, Navid Rajabi, Fardina Fathmiul Alam +1
Question answering (QA) in English has been widely explored, but multilingual datasets are relatively new, with several methods attempting to bridge the gap between high- and low-r…
Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties
Kathleen Siminyu, Xinjian Li, Antonios Anastasopoulos +3
Models pre-trained on multiple languages have shown significant promise for improving speech recognition, particularly for low-resource languages. In this work, we focus on phoneme…
Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling
Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit +1
Predicting user intent and detecting the corresponding slots from text are two key problems in Natural Language Understanding (NLU). In the context of zero-shot learning, this task…
Evaluating the Morphosyntactic Well-formedness of Generated Texts
Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani +4
Text generation systems are ubiquitous in natural language processing applications. However, evaluation of these systems remains a challenge, especially in multilingual settings. I…
BembaSpeech: A Speech Recognition Corpus for the Bemba Language
Claytone Sikasote, Antonios Anastasopoulos
We present a preprocessed, ready-to-use automatic speech recognition corpus, BembaSpeech, consisting over 24 hours of read speech in the Bemba language, a written but low-resourced…