Daniel Torregrosa

TIAD 2019 shared task: Leveraging knowledge graphs with neural machine translation for automatic multilingual dictionary generation

John P. McCrae, Mihael Arcan, Sina Ahmadi, 2019, TIAD@LDK.

An Open-Source Web-Based Tool for Resource-Agnostic Interactive Translation Prediction

Mikel L. Forcada, Juan Antonio Pérez-Ortiz, Juan Antonio Pérez-Ortiz, 2014, Prague Bull. Math. Linguistics.

Black-box integration of heterogeneous bilingual resources into an interactive translation system

Mikel L. Forcada, Juan Antonio Pérez-Ortiz, Daniel Torregrosa, 2014, HaCaT@EACL.

Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios pdf

Bharathi Raja Chakravarthi, Mihael Arcan, Noe Casas, 2020, ArXiv.

Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models

Bharathi Raja Chakravarthi, Mihael Arcan, Noe Casas, 2019, MTSummit.

Back-translation Approach for Code-switching Machine Translation: A Case Study

Paul Buitelaar, Mihael Arcan, Daniel Torregrosa, 2019, AICS.

Translating Terminological Expressions in Knowledge Bases with Neural Machine Translation

Paul Buitelaar, Mihael Arcan, Daniel Torregrosa, 2017 .

Comparative Human and Automatic Evaluation of Glass-Box and Black-Box Approaches to Interactive Translation Prediction

Mikel L. Forcada, Juan Antonio Pérez-Ortiz, Juan Antonio Pérez-Ortiz, 2017, Prague Bull. Math. Linguistics.