The ADAPT System Description for the IWSLT 2018 Basque to English Translation Task

In this paper we present the ADAPT system built for the Basque to English Low Resource MT Evaluation Campaign. Basque is a low-resourced, morphologically-rich language. This poses a challenge for Neural Machine Translation models which usually achieve better performance when trained with large sets of data.

Using Annotated Discourse Information of a RST Spanish-Chinese Treebank for Translation and Language Learning Tasks

As one of the essential elements for Natural Language Processing (NLP), discourse has called much attention during recent years. Many studies explore the role of how discourse elements affect in different NLP research areas, such as parsing, sentiment analysis, machine translation evaluation, among others. Besides, along with the discourse analysis development, different treebanks annotated with discourse information for different languages form a great contribution for advancing the NLP researches.


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