A study on the production of collocations by European Portuguese learners

no code implementations • WS 2016 • {\^A}ngela Costa, Lu{\'\i}sa Coheur, Teresa Lino

Building a Corpus of Errors and Quality in Machine Translation: Experiments on Error Impact

no code implementations • LREC 2016 • {\^A}ngela Costa, Rui Correia, Lu{\'\i}sa Coheur

In this paper we describe a corpus of automatic translations annotated with both error type and quality.

Machine Translation Sentence +1

JUST.ASK, a QA system that learns to answer new questions from previous interactions

no code implementations • LREC 2014 • S{\'e}rgio Curto, Ana C. Mendes, Pedro Curto, Lu{\'\i}sa Coheur, {\^A}ngela Costa

We present JUST. ASK, a publicly available Question Answering system, which is freely available.

Passage Retrieval Question Answering +1

Meet EDGAR, a tutoring agent at MONSERRATE

no code implementations • ACL 2013 • Pedro Fialho, Lu{\'\i}sa Coheur, S{\'e}rgio Curto, Pedro Cl{\'a}udio, {\^A}ngela Costa, Alberto Abad, Hugo Meinedo, Isabel Trancoso

Question Answering Speech Recognition

Dealing with unknown words in statistical machine translation

no code implementations • LREC 2012 • Jo{\~a}o Silva, Lu{\'\i}sa Coheur, {\^A}ngela Costa, Isabel Trancoso

In Statistical Machine Translation, words that were not seen during training are unknown words, that is, words that the system will not know how to translate.

Translation Transliteration

An English-Portuguese parallel corpus of questions: translation guidelines and application in SMT

no code implementations • LREC 2012 • {\^A}ngela Costa, Tiago Lu{\'\i}s, Joana Ribeiro, Ana Cristina Mendes, Lu{\'\i}sa Coheur

Finally, we present a taxonomy of translation errors, according to which we analyze the output of the automatic translation before and after using the corpus as training data.

Machine Translation Question Answering +1