For the multilingual ad-hoc document retrieval track (TEL) at CLEF, Trinity College Dublin and Dublin City University participated in collaboration. Our retrieval experiments focused on i) document expansion using an entry vocabulary module, ii) query translation with Google translate and a statistical MT system, and iii) a comparison of the retrieval models BM25 and language modeling (LM). The...

For the multilingual ad-hoc document retrieval track (TEL@CLEF) at at the Cross-Language Retrieval Forum (CLEF) Trinity College Dublin and Dublin City University participated in collaboration. Our retrieval experiments focus on i) investigating document expansion using an entry vocabulary module, ii) translating queries with Google translate and a statistical MT system, and iii) investigating l...

We investigate the potential of attention-based neural machine translation in simultaneous translation. We introduce a novel decoding algorithm, called simultaneous greedy decoding, that allows an existing neural machine translation model to begin translating before a full source sentence is received. This approach is unique from previous works on simultaneous translation in that segmentation a...

Neural machine translation is a relatively new approach to statistical machine translation based purely on neural networks. The neural machine translation models often consist of an encoder and a decoder. The encoder extracts a fixed-length representation from a variable-length input sentence, and the decoder generates a correct translation from this representation. In this paper, we focus on a...

When the Transformer proposed by Google in 2017, it was first used for machine translation tasks and achieved state of art at that time. Although current neural model can generate high quality results, there are still mistranslations omissions key information long sentences. On other hand, most important part traditional is information. In as translated accurately completely, even if parts resu...

This paper describes the IIT Bombay’s submission as a part of the shared task in WAT 2016 for English–Indonesian language pair. The results reported here are for both the direction of the language pair. Among the various approaches experimented, Operation Sequence Model (OSM) and Neural Language Model have been submitted for WAT. The OSM approach integrates translation and reordering process re...