COLING 2012

Second Workshop on

Applying Machine Learning Techniques

to Optimise the Division of Labour

in Hybrid MT (ML4HMT)

Mumbai

December 2012

Contents

Vassilina Nikoulina, Agnes Sandor, and Marc Dymetman:

Hybrid adaptation of named entity recognition for statistical machine translation. pp.1-15.

Li Maoxi and Wang Mingwen:

Confusion network based system combination for Chinese translation output: word-level or character-level. pp.17-24.

Kartik Asooja, Jorge Gracia, Nitish Aggarwal, and Asunión Gómez Pérez:

Using cross-lingual explicit semantic analysis for improving ontology translation. pp.25-35.

Xiaofeng Wu, Tsyoshi Okita, Josef van Genabith, and Qun Liu:

System combination with extra alignment information. pp.37-44.

Tsuyoshi Okita, Antonio Toral, and Josef van Genabith:

Topic modeling-based domain adaptation for system combination. pp.45-53.

Tsuyoshi Okita, Raphaël Rubino, and Josef van Genabith:

Sentence-level quality estimation for MT system combination. pp.55-63.

Tsuyoshi Okita:

Neural probabilistic language model for system combination. pp.65-75.

Christian Federmann:

System combination using joint, binarised feature vectors. pp.77-83.

Christian Federmann, Tsuyoshi Okita, Maite Melero, Marta R.Costa-jussà, Toni Badia, and Josef van Genabith:

Results from the ML4HMT-12 shared task on applying machine learning techniques to optimise the division of labour in hybrid machine translation.

pp.85-90.