Innovating Works

FoTran

Financiado
Found in Translation Natural Language Understanding with Cross Lingual Groundi...
"Natural language understanding is the ""holy grail"" of computational linguistics and a long-term goal in research on artificial intelligence. Understanding human communication is difficult due to the various ambiguities in natur... "Natural language understanding is the ""holy grail"" of computational linguistics and a long-term goal in research on artificial intelligence. Understanding human communication is difficult due to the various ambiguities in natural languages and the wide range of contextual dependencies required to resolve them. Discovering the semantics behind language input is necessary for proper interpretation in interactive tools, which requires an abstraction from language-specific forms to language-independent meaning representations. With this project, I propose a line of research that will focus on the development of novel data-driven models that can learn such meaning representations from indirect supervision provided by human translations covering a substantial proportion of the linguistic diversity in the world. A guiding principle is cross-lingual grounding, the effect of resolving ambiguities through translation. The beauty of that idea is the use of naturally occurring data instead of artificially created resources and costly manual annotations. The framework is based on deep learning and neural machine translation and my hypothesis is that training on increasing amounts of linguistically diverse data improves the abstractions found by the model. Eventually, this will lead to universal sentence-level meaning representations and we will test our ideas with multilingual machine translation and tasks that require semantic reasoning and inference." ver más
31/03/2024
HELSINGIN YLIOPIST...
2M€
Perfil tecnológico estimado
Duración del proyecto: 71 meses Fecha Inicio: 2018-04-20
Fecha Fin: 2024-03-31

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2024-03-31
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
ERC-2017-COG: ERC Consolidator Grant
Cerrada hace 7 años
Presupuesto El presupuesto total del proyecto asciende a 2M€
Líder del proyecto
HELSINGIN YLIOPISTO No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5