Michael Hutt

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This paper describes the MIT-LL/AFRL statistical MT system and the improvements that were developed during the IWSLT 2013 evaluation campaign [1]. As part of these efforts, we experimented with a number of extensions to the standard phrase-based model that improve performance on the Russian to English, Chinese to English, Arabic to English, and English to(More)
The literature on antenna array optimization has recently focused on direct search methods that use random decision making, e.g., genetic/evolutionary algorithms (GA) and particle swarm optimization (PSO). In this paper we compare results for test problems from the literature using direct search methods that do not use random decision making, such as(More)
This report summarizes the MITLL-AFRLMT, ASR and SLT systems and the experiments run using them during the 2015 IWSLT evaluation campaign. We build on the progress made last year, and additionally experimented with neural MT, unknown word processing, and system combination. We applied these techniques to translating Chinese to English and English to(More)
This report summarizes the MITLL-AFRL MT and ASR systems and the experiments run during the 2016 IWSLT evaluation campaign. Building on lessons learned from previous years’ results, we refine our ASR systems and examine the explosion of neural machine translation systems and techniques developed in the past year. We experiment with a variety of(More)
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