Search Results for author: Victoria Arranz

Found 14 papers, 0 papers with code

VERTa: Facing a Multilingual Experience of a Linguistically-based MT Evaluation

no code implementations LREC 2014 Elisabet Comelles, Jordi Atserias, Victoria Arranz, Irene Castell{\'o}n, Jordi Ses{\'e}

In the experiments conducted we aim at identifying those linguistic features that prove the most effective to evaluate adequacy in Spanish segments.

Sentiment Analysis Translation

ELRA's Consolidated Services for the HLT Community

no code implementations LREC 2014 Victoria Arranz, Khalid Choukri, Val{\'e}rie Mapelli, H{\'e}l{\`e}ne Mazo

This paper emphasises on ELRA’s contribution to the HLT field thanks to the consolidation of its services since LREC 2012.

An Analytical Model of Language Resource Sustainability

no code implementations LREC 2012 Khalid Choukri, Victoria Arranz

This paper elaborates on a sustainability model for Language Resources, both at a descriptive and analytical level.

Information Retrieval Machine Translation

Using the International Standard Language Resource Number: Practical and Technical Aspects

no code implementations LREC 2012 Khalid Choukri, Victoria Arranz, Olivier Hamon, Jungyeul Park

This paper describes the International Standard Language Resource Number (ISLRN), a new identification schema for Language Resources where a Language Resource is provided with a unique and universal name using a standardized nomenclature.

The META-SHARE Metadata Schema for the Description of Language Resources

no code implementations LREC 2012 Maria Gavrilidou, Penny Labropoulou, Elina Desipri, Stelios Piperidis, Haris Papageorgiou, Monica Monachini, Francesca Frontini, Thierry Declerck, Gil Francopoulo, Victoria Arranz, Valerie Mapelli

This paper presents a metadata model for the description of language resources proposed in the framework of the META-SHARE infrastructure, aiming to cover both datasets and tools/technologies used for their processing.

Machine Translation

VERTa: Linguistic features in MT evaluation

no code implementations LREC 2012 Elisabet Comelles, Jordi Atserias, Victoria Arranz, Irene Castell{\'o}n

In this paper we present VERTa, a metric which aims at using and combining a wide variety of linguistic features at lexical, morphological, syntactic and semantic level.

On the Way to a Legal Sharing of Web Applications in NLP

no code implementations LREC 2012 Victoria Arranz, Olivier Hamon

For some years now, web services have been employed in Natural Language Processing (NLP) for a number of uses and within a number of sub-areas.

Natural Language Processing

Cannot find the paper you are looking for? You can Submit a new open access paper.