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Found 12 papers, 4 papers with code
An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation
In this paper, we investigate the benefits of an explicit alignment to language labels in Transformer-based MNMT models in the zero-shot context, by jointly training one cross attention head with word alignment supervision to stress the focus on the target language label.
Latest Development in the FoTran Project – Scaling Up Language Coverage in Neural Machine Translation Using Distributed Training with Language-Specific Components
We describe the enhancement of a multilingual NMT toolkit developed as part of the FoTran project.
The MUCOW word sense disambiguation test suite at WMT 2020
This paper reports on our participation with the MUCOW test suite at the WMT 2020 news translation task.
SemEval-2024 Shared Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes
This paper presents the results of the SHROOM, a shared task focused on detecting hallucinations: outputs from natural language generation (NLG) systems that are fluent, yet inaccurate.
MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki
NLP in the age of monolithic large language models is approaching its limits in terms of size and information that can be handled.
Democratizing Neural Machine Translation with OPUS-MT
This paper presents the OPUS ecosystem with a focus on the development of open machine translation models and tools, and their integration into end-user applications, development platforms and professional workflows.
Wikipedia Entities as Rendezvous across Languages: Grounding Multilingual Language Models by Predicting Wikipedia Hyperlinks
Further adding extra languages lead to improvements in most tasks up to a certain point, but overall we found it non-trivial to scale improvements in model transferability by training on ever increasing amounts of Wikipedia languages.
XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization
The ability to correctly model distinct meanings of a word is crucial for the effectiveness of semantic representation techniques.
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation
Transformer-based models have brought a radical change to neural machine translation.
The University of Helsinki submissions to the WMT19 news translation task
In this paper, we present the University of Helsinki submissions to the WMT 2019 shared task on news translation in three language pairs: English-German, English-Finnish and Finnish-English.
Multilingual NMT with a language-independent attention bridge
In this paper, we propose a multilingual encoder-decoder architecture capable of obtaining multilingual sentence representations by means of incorporating an intermediate {\em attention bridge} that is shared across all languages.
A Large-Scale Multilingual Disambiguation of Glosses
Linking concepts and named entities to knowledge bases has become a crucial Natural Language Understanding task.
