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20152022
most citedLow-Resource Language Modelling of South African Languages

10 citations · 20 across the 4 of their papers we have counts for

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9 papers · 1 filter

cs.CL2022

University of Cape Town's WMT22 System: Multilingual Machine Translation for Southern African Languages

Khalid N. Elmadani, Francois Meyer, Jan Buys

The paper describes the University of Cape Town's submission to the constrained track of the WMT22 Shared Task: Large-Scale Machine Translation Evaluation for African Languages. Ou…

cs.CL20221 cited

Subword Segmental Language Modelling for Nguni Languages

Francois Meyer, Jan Buys

Subwords have become the standard units of text in NLP, enabling efficient open-vocabulary models. With algorithms like byte-pair encoding (BPE), subword segmentation is viewed as…

cs.CL202110 cited

Low-Resource Language Modelling of South African Languages

Stuart Mesham, Luc Hayward, Jared Shapiro +1

Language models are the foundation of current neural network-based models for natural language understanding and generation. However, research on the intrinsic performance of langu…

cs.CL2021

Canonical and Surface Morphological Segmentation for Nguni Languages

Tumi Moeng, Sheldon Reay, Aaron Daniels +1

Morphological Segmentation involves decomposing words into morphemes, the smallest meaning-bearing units of language. This is an important NLP task for morphologically-rich aggluti…

cs.CL2019

BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle

Peter West, Ari Holtzman, Jan Buys +1

The principle of the Information Bottleneck (Tishby et al. 1999) is to produce a summary of information X optimized to predict some other relevant information Y. In this paper, we…

cs.CL2019

The Curious Case of Neural Text Degeneration

Ari Holtzman, Jan Buys, Li Du +2

Despite considerable advancements with deep neural language models, the enigma of neural text degeneration persists when these models are tested as text generators. The counter-int…