Institut des Technologies Multilingues & Multimédias de l’Information
Institute for Multilingual & Multimedia Information
Institut für Multilinguale & Multimediale Informationsverarbeitung

Presentations

jeudi 28 novembre 2013

Toutes les versions de cet article : [Deutsch] [français] [français]

Day 1, Session 1 : Modelisation of Errors by machine

(Chair : Yannick Estève)

PDF - 417.5 ko
Keynote : Julia Hirschberg

Identifying and Responding to Errors in Spoken Dialogue Systems

__1__

PDF - 620.3 ko
Maja Popovic

Automatic error analysis of machine translations

__1__

PDF - 176 ko
Martin Sundermeyer

Direct Observation of Pruning Errors - A Search Analysis Tool

__1__

PDF - 2.9 Mo
Atsunori Ogawa

Recognition rate estimation based on error type classification and its applications

SLIDES

__1__

Day 1, Session 2 : Complex errors, errors from multiple sources

(Chair : Chris Cieri)

PDF - 3.2 Mo
Keynote : Josef Kittler

To fuse or not to fuse

__1__

PDF - 730.4 ko
Juliette Kahn

Evaluation is not just a score

__1__

PDF - 965.8 ko
Hervé Bredin

Visualizing multimodal person recognition errors : a REPERE use case of the Camomile project

__1__

PDF - 401 ko
Mirjam Ernestus

Errors induced by pronunciation variants typical of casual speech

__1__

Day 1, Session 3 : Impact of errors

(Chair : Laurent Besacier)

PDF - 1013.5 ko
Keynote : Lucia Specia

Is this translation fit for purpose ? Predicting quality versus predicting errors

__1__

PDF - 288 ko
Sophie Rosset

Human annotation of ASR error regions : Is ’gravity’ a sharable concept for human annotators ?

__1__

PDF - 776.7 ko
Catherine Kobus

Machine translation error categorization by post-editions automatic analysis

__1__

PDF - 1.2 Mo
Benoît Favre

Automatic Human Utility Evaluation of ASR Systems : Does WER Really Predict Performance ?

__1__

Day 2, Session 4 : Errors by machines and humans

(Chair : Ioana Vasilescu)

PDF - 1.6 Mo
Keynote : Sarah Hawkins

Illusions, contexts and domains of analysis in assessing errors in speech processing

__1__

PDF - 433.3 ko
Michel Simard

Error Analysis of Error Corrections in Machine Translation

__1__

PDF - 570.6 ko
Martin Cooke

Noise-induced slips of the ear

__1__

PDF - 499.5 ko
Odette Scharenborg

Comparing human and automatic speech recognition

__1__

PDF - 822.8 ko
Bernd Meyer

What’s the difference ? Quantifying errors in human and automatic speech recognition

__1__

Day 2, Session 5 : Error Analysis

(Chair : Liz Shriberg)

__1__

PDF - 510.1 ko
Keynote : Mark Liberman

Machine learning from machine learning errors : Work in progress on parsing and phonetic alignment

__1__

PDF - 1.2 Mo
Sebastian Stüker

The Influence of Topic and Domain Specific Words on WER - And Can We Get the User in to Correct Them ?

__1__

PDF - 990.4 ko
Natalie Kübler & François Yvon

Human Errors and Automatic Errors in Machine Translations. What are the Differences ?

__1__

PDF - 934.4 ko
Tim Schlippe

Error blaming based on Decoding Output

__1__

PDF - 985.5 ko
Martine Adda-Decker & Barbara Schuppler

What we can learn from ASR errors about low-resourced languages : a case-study of Luxembourgish and Austrian

__1__

JPEG - 21.7 ko
Ilya Oparin

Summary of the workshop

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