Confusion Networks

Confusion networks are a simple representa- tion of multiple speech recognition or transla- tion hypotheses in a machine translation sys- tem. A typical operation on a confusion net- work is …...

The state-of-the-art system combination method for machine translation (MT) is the word-based combination using confu- sion networks. One of the crucial steps in confusion network decoding is the align- ment …...

Current system combination methods usu- ally use confusion networks to find consensus translations among different systems. Requir- ing one-to-one mappings between the words in candidate translations, confusion networks have difficulty …...

AbstractSpeech recognition technology suffers from a lack of robustness which limits its usability for fully automated speech-to-text transcription, and manual correction is generally required to obtain perfect transcripts. In this …...

For extractive meeting summarization, previ- ous studies have shown performance degrada- tion when using speech recognition transcripts because of the relatively high speech recogni- tion errors on meeting recordings. In …...

This paper proposes a multi-objective opti- mization framework which supports heteroge- neous information sources to improve align- ment in machine translation system combi- nation techniques. In this area, most of …...