[Apologies for multiple posting]

The 16th International Workshop on Spoken Language Translation

IWSLT 2019 – First Call for Participation

November 2nd – 3rd, 2019 – Hong Kong

http://www.iwslt.org <http://workshop2019.iwslt.org/>

IMPORTANT DATES

Scientific papers:

September 1st: paper submissions

October 7th: notification of acceptance

October 13th: camera-ready paper due

Evaluation Campaign:

June: release of train and dev data

July 1st – September 8th: evaluation period

Sept 22nd: system description paper due

October 7th: review feedback

October 13th: camera-ready paper due

The International Workshop on Spoken Language Translation (IWSLT) is a
yearly scientific workshop, associated with an open evaluation campaign on
spoken language translation, where both scientific papers and system
descriptions are presented. The 16th IWSLT will take place in Hong Kong, on
November 2nd and  3rd, 2019.

Evaluation Campaign

IWSLT will feature three evaluation tasks focusing on end-to-end speech
translation, multimodel models and spontaneous speech:

   -

   Speech translation of audiovisual content: HowTo and TED and real
   lectures from English to Portuguese and German
   -

   Clean speech translation of spontaneous, disfluent telephone
   conversations from Spanish to English
   -

   Text translation on a less resourced language pair: English to Czech

Training and development data for each task will be released to the
participants through the workshop website at the beginning of June 2019.
The evaluation period will be from July 1st  to September 8th 2019.

Scientific papers

The IWSLT invites submissions of scientific papers to be published in the
workshop proceedings and presented in dedicated technical sessions during
the workshop, either in oral or poster format. The workshop welcomes high
quality, original contributions covering theoretical and practical issues
in the fields of automatic speech recognition and machine translation that
are applied to spoken language translation. Possible topics include, but
are not limited to:

MT and SLT approaches

End-to-End models for SLT

MT and SLT evaluation

Language resources for MT and SLT

Open source software for ASR, MT and SLT

Multilingual ASR and TTS

Multimodal speech and text translation

Architectures for ASR, MT and SLT

Adaptation for ASR, MT and SLT

Post- and Pre-processing for ASR, MT and SLT

Efficiency in ASR, MT and SLT
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