69 citations · 219 across the 23 of their papers we have counts for
5 papers · 1 filter
Neural Machine Translation with Extended Context
Jörg Tiedemann, Yves Scherrer
We investigate the use of extended context in attention-based neural machine translation. We base our experiments on translated movie subtitles and discuss the effect of increasing…
The Helsinki Neural Machine Translation System
Robert Östling, Yves Scherrer, Jörg Tiedemann +2
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 autom…
Neural machine translation for low-resource languages
Robert Östling, Jörg Tiedemann
Neural machine translation (NMT) approaches have improved the state of the art in many machine translation settings over the last couple of years, but they require large amounts of…
Cross-Lingual Dependency Parsing for Closely Related Languages - Helsinki's Submission to VarDial 2017
Jörg Tiedemann
This paper describes the submission from the University of Helsinki to the shared task on cross-lingual dependency parsing at VarDial 2017. We present work on annotation projection…
Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF
Yan Shao, Christian Hardmeier, Jörg Tiedemann +1
We present a character-based model for joint segmentation and POS tagging for Chinese. The bidirectional RNN-CRF architecture for general sequence tagging is adapted and applied wi…