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20162024
most citedOnline Segment to Segment Neural Transduction

9 citations · 11 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CL2024

A Systematic Analysis of Subwords and Cross-Lingual Transfer in Multilingual Translation

Francois Meyer, Jan Buys

Multilingual modelling can improve machine translation for low-resource languages, partly through shared subword representations. This paper studies the role of subword segmentatio…

cs.CL20241 cited

Triples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource Agglutinative Data-to-Text Generation

Francois Meyer, Jan Buys

Most data-to-text datasets are for English, so the difficulties of modelling data-to-text for low-resource languages are largely unexplored. In this paper we tackle data-to-text fo…

cs.CL2023

Subword Segmental Machine Translation: Unifying Segmentation and Target Sentence Generation

Francois Meyer, Jan Buys

Subword segmenters like BPE operate as a preprocessing step in neural machine translation and other (conditional) language models. They are applied to datasets before training, so…

cs.CL20191 cited

Neural Text Generation from Rich Semantic Representations

Valerie Hajdik, Jan Buys, Michael W. Goodman +1

We propose neural models to generate high-quality text from structured representations based on Minimal Recursion Semantics (MRS). MRS is a rich semantic representation that encode…

cs.CL20169 cited

Online Segment to Segment Neural Transduction

Lei Yu, Jan Buys, Phil Blunsom

We introduce an online neural sequence to sequence model that learns to alternate between encoding and decoding segments of the input as it is read. By independently tracking the e…