Coupling of ASR+MT: Initial Experiments & Future Directions

Speaker: Ian Lane

Title: Tighter Coupling of ASR+MT: Initial Experiments & Future Directions

Abstract:
In this talk, I will first give a brief overview of my PhD work entitled "Flexible Spoken Language Understanding based on Topic Classification and Domain Detection", and describe how the proposed approaches can be applied to applications other than speech-to-speech translation. I will
then describe my current work which focuses on improving coupling between ASR and Machine-Translation Systems, specifically, when applied to conversational speech. Finally, I will propose future directions for which I hope to receive a large amount of feedback.

Anchor-Based Symmetric Probabilistic Alignment

Date: May 23, 2006

Presenter: Jae Dong Kim,

Title: Anchor-Based Symmetric Probabilistic Alignment

Can the Internet help improve Machine Translation?

Date: April 18, 2006

Presenter: Ari Font-Llitjos

Title: Can the Internet help improve Machine Translation?

The MILE Corpus for Less Commonly Taught Languages

Date: February 21, 2006

Presenter: Alison Alvarez,

Title: The MILE (Minor Language Elicitation) Corpus for Less Commonly Taught Languages

Generalization and Context-Sensitivity for Example-Based Machine Translation

Date: December 08, 2005

Presenter: Ralf Brown

Title: Generalization and Context-Sensitivity for Example-Based Machine Translation

Speech Translation with Multiple Speech and Translation Hypotheses

Date: November 15, 2005

Presenter: Chiori Hori

Title: Speech Translation with Multiple Speech and Translation Hypotheses

Adapting Resources for Parsing Arabic Dialects

Date: October 18, 2005

Presenters: Rebecca Hwa and Carol Nichols from the NLP Lab at Pitt

Title:Adapting Resources for Parsing Arabic Dialects