The MITLL-AFRL IWSLT 2016 Systems

The MITLL-AFRL IWSLT 2016 Systems

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 t...

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Bibliographische Detailangaben
Hauptverfasser: Kazi,Michaeel, Salesky,Elizabeth, Thompson,Brian, Taylor,Jonathon, Gwinnup,Jeremy, Anderson,Timothy, Erdmann,Grant, Hansen,Eric, Ore,Brian, Young,Katherine, Hutt,Michael
Format: Report
Sprache:eng
Schlagworte:
automated speech recognition
language translation
Linguistics
machine translation
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Beschreibung
Zusammenfassung: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 phrase-based, hierarchical and neural-network approaches in machine translation and utilize system combination to create a composite system with the best characteristics of all MT approaches.