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Journals and Conferences
Data Set Used
This article presents a summary of the TweetLID shared task and workshop held at SEPLN 2014. It briefly summarizes the data collection and annotation process, the development and evaluation of the… (More)
Language identification, as the task of determining the language a given text is written in, has progressed substantially in recent decades. However, three main issues remain still unresolved: (i)… (More)
This work presents parallel corpora automatically annotated with several NLP tools, including lemma and part-of-speech tagging, named-entity recognition and classification, named-entity… (More)
This article presents an overview of the shared task that took place as part of the TweetMT workshop held at SEPLN 2015. The task consisted in translating collections of tweets from and to several… (More)
An overview of the shared task is presented: description, corpora, annotation, preprocess, participant systems and results.
The aim of this study is to analyse whether translation trainees who are not native speakers of the target language are able to perform as well as those who are native speakers, and whether they… (More)
In this paper we introduce TweetNorm es, an annotated corpus of tweets in Spanish language, which we make publicly available under the terms of the CC-BY license. This corpus is intended for… (More)
The goal of this FP7 European project is to contribute for the advancement of quality machine translation by pursuing an approach that further relies on semantics, deep parsing and linked open data.
This paper argues in favor of a linguisticallyinformed error classification for SMT to identify system weaknesses and map them to possible syntactic, semantic and structural fixes. We propose a… (More)
This work addresses the need to aid Machine Translation (MT) development cycles with a complete workflow of MT evaluation methods. Our aim is to assess, compare and improve MT system variants. We… (More)