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Found 20 papers, 4 papers with code
Leveraging RDF Graphs for Crossing Multiple Bilingual Dictionaries
The experiments presented here exploit the properties of the Apertium RDF Graph, principally cycle density and nodes{'} degree, to automatically generate new translation relations between words, and therefore to enrich existing bilingual dictionaries with new entries.
On the Multilingual Capabilities of Very Large-Scale English Language Models
Generative Pre-trained Transformers (GPTs) have recently been scaled to unprecedented sizes in the history of machine learning.
Transfer Learning with Shallow Decoders: BSC at WMT2021’s Multilingual Low-Resource Translation for Indo-European Languages Shared Task
This paper describes the participation of the BSC team in the WMT2021’s Multilingual Low-Resource Translation for Indo-European Languages Shared Task.
Sequence-to-Sequence Resources for Catalan
In this work, we introduce sequence-to-sequence language resources for Catalan, a moderately under-resourced language, towards two tasks, namely: Summarization and Machine Translation (MT).
English-Catalan Neural Machine Translation in the Biomedical Domain through the cascade approach
This paper describes the methodology followed to build a neural machine translation system in the biomedical domain for the English-Catalan language pair.
The Strategic Impact of META-NET on the Regional, National and International Level
This article provides an overview of the dissemination work carried out in META-NET from 2010 until early 2014; we describe its impact on the regional, national and international level, mainly with regard to politics and the situation of funding for LT topics.
Metadata as Linked Open Data: mapping disparate XML metadata registries into one RDF/OWL registry.
The proliferation of different metadata schemas and models pose serious problems of interoperability.
A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation
This corpus aims to serve as a basic resource for further research on whether hybrid machine translation algorithms and system combination techniques can benefit from additional (linguistically motivated, decoding, and runtime) information provided by the different systems involved.
Holaaa!! writin like u talk is kewl but kinda hard 4 NLP
We present work in progress aiming to build tools for the normalization of User-Generated Content (UGC).
The ML4HMT Workshop on Optimising the Division of Labour in Hybrid Machine Translation
We describe the Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation (ML4HMT) which aims to foster research on improved system combination approaches for machine translation (MT).
ELRI: A Decentralised Network of National Relay Stations to Collect, Prepare and Share Language Resources
We describe the European Language Resource Infrastructure (ELRI), a decentralised network to help collect, prepare and share language resources.
Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan
For this, we: (1) build a clean, high-quality textual Catalan corpus (CaText), the largest to date (but only a fraction of the usual size of the previous work in monolingual language models), (2) train a Transformer-based language model for Catalan (BERTa), and (3) devise a thorough evaluation in a diversity of settings, comprising a complete array of downstream tasks, namely, Part of Speech Tagging, Named Entity Recognition and Classification, Text Classification, Question Answering, and Semantic Textual Similarity, with most of the corresponding datasets being created ex novo.
The Multilingual Anonymisation Toolkit for Public Administrations (MAPA) Project
We describe the MAPA project, funded under the Connecting Europe Facility programme, whose goal is the development of an open-source de-identification toolkit for all official European Union languages.
Neural Translation for the European Union (NTEU) Project
The Neural Translation for the European Union (NTEU) project aims to build a neural engine farm with all European official language combinations for eTranslation, without the necessity to use a high-resourced language as a pivot.
The Catalan Language CLUB
The Catalan Language Understanding Benchmark (CLUB) encompasses various datasets representative of different NLU tasks that enable accurate evaluations of language models, following the General Language Understanding Evaluation (GLUE) example.
Unsupervised Machine Translation in Real-World Scenarios
In this work, we present the work that has been carried on in the MT4All CEF project and the resources that it has generated by leveraging recent research carried out in the field of unsupervised learning.
Spanish Datasets for Sensitive Entity Detection in the Legal Domain
In order to assess the quality of the generated datasets, we have used them to fine-tune a battery of entity-detection models, using as foundation different pre-trained language models: one multilingual, two general-domain monolingual and one in-domain monolingual.
Quality versus Quantity: Building Catalan-English MT Resources
In this work, we make the case of quality over quantity when training a MT system for a medium-to-low-resource language pair, namely Catalan-English.
