Moses-support Digest, Vol 124, Issue 7

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Today's Topics:

1. Factors Vs OOV counts in Factor based experiments (Lakshya)
2. 1st CFP: EMNLP 2017 Workshop on Speech-Centric Natural
Language Processing (SCNLP) (Nick Ruiz)


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Message: 1
Date: Tue, 7 Feb 2017 00:01:16 +0530
From: Lakshya <elekshman@gmail.com>
Subject: [Moses-support] Factors Vs OOV counts in Factor based
experiments
To: moses-support <moses-support@mit.edu>
Message-ID:
<CANiOhcNh6_q9eCpKPHEOxj=COvzxF7Zki_YYtXBC6WXdB6Q6pQ@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Dear All,

Could anybody please help me to get details about the following doubts ?


1. The impact of OOV counts as the number of factors increases in
Factor-based-SMT model for morphologically rich languages?
2. How good is the improvement of factor based models with MERT tuning ?
Did anybody experimented ?



Expecting a reply soon,

Regards
Lakshya
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Message: 2
Date: Mon, 6 Feb 2017 14:06:03 -0500
From: Nick Ruiz <nruiz@interactions.com>
Subject: [Moses-support] 1st CFP: EMNLP 2017 Workshop on
Speech-Centric Natural Language Processing (SCNLP)
To: moses-support@mit.edu
Message-ID:
<CABde+LmrO_Jz5VHdJk9boRtibELHY=thd1WyTcj279qvxDb3Jg@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

FIRST CALL FOR PAPERS
EMNLP 2017 Workshop on Speech-Centric Natural Language Processing (SCNLP)

Hosted at Empirical Methods for Natural Language Processing (EMNLP)
conference
September 7, 2017, Copenhagen Denmark

SCNLP's goal is to unite the ASR and NLP communities to discuss new
frameworks for exploiting the rich information present in the speech signal
to improve the capabilities of natural language processing applications
such as conversational agents, question-answering systems, machine
translation, and search. SCNLP encourages novel contributions that revisit
the conventional NLP problems with a focus on incorporating the richness of
spoken language, as well as contributions that promote cross-fertilization
between statistical methods for ASR and NLP.

We envision SCNLP as a platform to promote collaboration between the ASR
and NLP communities and to seek ways to lower the barrier of entry for
researchers interested in working in the exciting intersection between
Speech and Natural Language Processing.

Important Dates
February 2017: First call for workshop papers
June 2 2017: Workshop papers due
June 30 2017: Notification of acceptance
July 14 2017: Camera-ready due
September 7 2017: Workshop date

*Note to MT Researchers*: Unfortunately, this workshop overlaps with Day 1
of the Second Conference on Machine Translation (WMT17), also co-located at
EMNLP. We do not wish to detract submissions from WMT, but we would
encourage your participation if you are working on the intersection of ASR
and MT.

Topics of interest include but are not limited to:

Speech translation
Spoken dialogue systems
Spoken query reformulation for Question/Answering systems
Word-sense disambiguation for speech transcripts
Information extraction on speech transcripts (combining textual corpora
with speech corpora)
Domain adaptation (Adapting textual NLP training data to speech-centric
tasks)
ASR evaluation for NLP
ASR error modeling
Speech segmentation for NLP
Punctuation insertion
Disfluency detection and correction
NLP with ASR lattices/confusion networks
Discourse and Speech Processing
Joint ASR/NLP modeling

We are excited to have a strong program committee consisting of research
leaders spanning the Speech and NLP communities.

For more information, please visit our website here:
http://speechnlp.github.io/2017/

We look forward to seeing you!

Nicholas Ruiz (Interactions, USA)
Srinivas Bangalore (Interactions, USA)
scnlp@interactions.com

--


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