The Effect of Error Rate in Artificially Generated Data for Automatic Preposition and Determiner Correction

no code implementations • WS 2017 • Fraser Bowen, Jon Dehdari, Josef van Genabith

In this research we investigate the impact of mismatches in the density and type of error between training and test data on a neural system correcting preposition and determiner errors.

Grammatical Error Correction Machine Translation

Massively Multilingual Neural Grapheme-to-Phoneme Conversion

1 code implementation • WS 2017 • Ben Peters, Jon Dehdari, Josef van Genabith

Grapheme-to-phoneme conversion (g2p) is necessary for text-to-speech and automatic speech recognition systems.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Common Round: Application of Language Technologies to Large-Scale Web Debates

no code implementations • EACL 2017 • Hans Uszkoreit, Aleks Gabryszak, ra, Leonhard Hennig, J{\"o}rg Steffen, Renlong Ai, Stephan Busemann, Jon Dehdari, Josef van Genabith, Georg Heigold, Nils Rethmeier, Raphael Rubino, Sven Schmeier, Philippe Thomas, He Wang, Feiyu Xu

Web debates play an important role in enabling broad participation of constituencies in social, political and economic decision-taking.

Decision Making Machine Translation +2

Using Related Languages to Enhance Statistical Language Models

no code implementations • NAACL 2016 • Anna Currey, Alina Karakanta, Jon Dehdari

Automatic Speech Recognition (ASR) Domain Adaptation +3

Scaling Up Word Clustering

no code implementations • NAACL 2016 • Jon Dehdari, Liling Tan, Josef van Genabith

Chunking Machine Translation +1

BIRA: Improved Predictive Exchange Word Clustering

1 code implementation • NAACL 2016 • Jon Dehdari, Liling Tan, Josef van Genabith

Chunking Machine Translation +1

An Awkward Disparity between BLEU / RIBES Scores and Human Judgements in Machine Translation

no code implementations • WS 2015 • Liling Tan, Jon Dehdari, Josef van Genabith

Machine Translation Translation