1 code implementation • 30 Nov 2020 • Antonio Toral, Antoni Oliver, Pau Ribas Ballestín
In this chapter we build a machine translation (MT) system tailored to the literary domain, specifically to novels, based on the state-of-the-art architecture in neural MT (NMT), the Transformer (Vaswani et al., 2017), for the translation direction English-to-Catalan.
no code implementations • EACL 2017 • Arun Kumar, Ryan Cotterell, Llu{\'\i}s Padr{\'o}, Antoni Oliver
The Dravidian languages are one of the most widely spoken language families in the world, yet there are very few annotated resources available to NLP researchers.
no code implementations • LREC 2014 • Antoni Oliver, Salvador Climent
In this paper we present the evaluation results for the creation of WordNets for five languages (Spanish, French, German, Italian and Portuguese) using an approach based on parallel corpora.
no code implementations • LREC 2020 • Antoni Oliver, Merc{\`e} V{\`a}zquez
In order to improve term candidate selection, we have developed the Token Slot Recognition (TSR) method, a filtering strategy based on terminological tokens which is used to rank extracted term candidates from domain-specific corpora.
no code implementations • LREC 2020 • Antoni Oliver
A reliable alignment between WordNet and Wikipedia is a very valuable resource for the creation of new wordnets in other languages and for the development of existing wordnets.
no code implementations • LREC 2020 • Antoni Oliver, Bojana Mikeleni{\'c}
In this paper, a tool specifically designed to allow for complex searches in large parallel corpora is presented.
no code implementations • WS 2020 • Andr{\'e}s Torres Rivera, Antoni Oliver, Salvador Climent, Marta Coll-Florit
We use this method of evaluation as reference to compare the results with other current neural approaches for this task that implement similar neural architectures and features, and that were evaluated using this corpus.
no code implementations • 1 Jul 2021 • Xavier Gómez Guinovart, Itziar Gonzalez-Dios, Antoni Oliver, German Rigau
Language resources are necessary for language processing, but building them is costly, involves many researches from different areas and needs constant updating.
no code implementations • GWC 2018 • Krešimir Šojat, Matea Filko, Antoni Oliver
In this paper a semi-automatic procedure for the expansion of the Croatian Wordnet (CroWN) is presented.
no code implementations • EAMT 2020 • Antoni Oliver, Sergi Alvarez, Toni Badia
There is currently an extended use of post-editing of machine translation (PEMT) in the translation industry.
no code implementations • EAMT 2020 • Sergi Alvarez, Antoni Oliver, Toni Badia
The recent improvements in machine translation (MT) have boosted the use of post-editing (PE) in the translation industry.
no code implementations • EAMT 2020 • Antoni Oliver
Almost all the required software to train and use neural and statistical MT systems are released under free licences.
no code implementations • EAMT 2020 • Celia Rico, María Del Mar Sánchez Ramos, Antoni Oliver
Work on INMIGRA3 concentrates in the analysis of how best can be NMT put to use for the purposes of translating NGOs documentation.
no code implementations • GWC 2016 • Antoni Oliver
In the experiments we have used Omegawiki and Wiktionary and we present automatic evaluation results for 24 languages that have wordnets in the Open Multilingual Wordnet project.