We describe the TÜBİTAK TurkishEnglish machine translation systems submissions in both directions for the WMT 2016: News Translation Task. We experiment with phrase-based and hierarchical phrase-based systems for both directions using word-level and morpheme-level representations for the Turkish side. Finally we perform system combination which results in 0.5 BLEU increase for Turkishto-English...

In this study, we present a systematic evaluation of machine translation methods applied to the image annotation problem. We used the well-studied Corel data set and the broadcast news videos used by TRECVID 2003 as our dataset. We experimented with different models of machine translation with different parameters. The results showed that the simplest model produces the best performance. Based ...

In this paper, we present some preliminary results on Statistical Machine Translation from Bulgarian-to-English and English-to-Bulgarian. Linguistic knowledge has been added gradually as factors in the MOSES system. The tests were performed on the QTLeap corpus data in IT domain for Pilot 1. The training was done on news parallel data as well as on IT domain data. The BLEU scores show that the ...

This article describes the Aalto University entry to the English-to-Finnish news translation shared task in WMT 2017. Our system is an open vocabulary neural machine translation (NMT) system, adapted to the needs of a morphologically complex target language. The main contributions of this paper are 1) implicitly incorporating morphological information to NMT through multi-task learning, 2) addi...

In this paper, we present two methods to use a noisy parallel news corpus to improve statistical machine translation (SMT) systems. Taking full advantage of the characteristics of our corpus and of existing resources, we use a bootstrapping strategy, whereby an existing SMT engine is used both to detect parallel sentences in comparable data and to provide an adaptation corpus for translation mo...

We introduce the Helsinki Neural Machine Translation system (HNMT) and how it is applied in the news translation task at WMT 2017, where it ranked first in both the human and automatic evaluations for English–Finnish. We discuss the success of English–Finnish translations and the overall advantage of NMT over a strong SMT baseline. We also discuss our submissions for English–Latvian, English– C...

Thai stock brokers issue daily stock news for their customers. One broker labels these news with plus, minus and zero sign to indicate the type of recommendation. This paper proposed to classify Thai stock news by extracting important texts from the news. The extracted text is in a form of a ‘wordpair’. Three wordpair sets, manual wordpairs extraction (ME), manual wordpairs addition (MA), and a...