IWSLT.2006

[P] [K] Finite-state transducer-based statistical machine translation using joint probabilities

[P] [K] IWSLT-06: experiments with commercial MT systems and lessons from subjective evaluations

[P] [K] MATREX: DCU machine translation system for IWSLT 2006.

[P] [K] Toward integrating word sense and entity disambiguation into statistical machine translation

[P] [K] IBM Arabic-to-English translation for IWSLT 2006

[P] [K] The ITC-irst SMT system for IWSLT 2006

[P] [K] The JHU workshop 2006 IWSLT system

[P] [K] Example-based machine translation based on deeper NLP

[P] [K] The MIT-LL/AFRL IWSLT-2006 MT system

[P] [K] Phrase reordering for statistical machine translation based on predicate-argument structure

[P] [K] The NiCT-ATR statistical machine translation system for IWSLT 2006

[P] [K] NLPR translation system for IWSLT 2006 evaluation campaign

[P] [K] NTT statistical machine translation for IWSLT 2006

[P] [K] The RWTH statistical machine translation system for the IWSLT 2006 evaluation

[P] [K] The SLE example-based translation system

[P] [K] The TALP Ngram-based SMT systems for IWSLT 2006

[P] [K] TALP phrase-based system and TALP system combination for IWSLT 2006

[P] [K] The UKA/CMU statistical machine translation system for IWSLT 2006

[P] [K] The CMU-UKA syntax augmented machine translation system for IWSLT-06

[P] [K] The University of Washington machine translation system for IWSLT 2006

[P] [K] The XMU phrase-based statistical machine translation system for IWSLT 2006

[P] [K] Continuous space language models for the IWSLT 2006 task

[P] [K] Using monolingual source-language data to improve MT performance

[P] [K] Reordering rules for phrase-based statistical machine translation

[P] [K] Tuning machine translation parameters with SPSA