LINGUIST List 30.1748

Tue Apr 23 2019

FYI: April 2019 Newsletter - LDC

Editor for this issue: Everett Green <everettlinguistlist.org>


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Date: 15-Apr-2019
From: Membership Office <ldcldc.upenn.edu>
Subject: April 2019 Newsletter - LDC
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In this newsletter:

LDC at ICASSP 2019
LDC data and commercial technology development

New Publications:

BOLT Egyptian-English Word Alignment -- Discussion Forum Training
Chinese Abstract Meaning Representation 1.0
HAVIC MED Progress Test -- Videos, Metadata and Annotation


LDC at ICASSP 2019

LDC will be exhibiting at ICASSP 2019, held this year May 12-17 in Brighton, UK. Stop by booth 5 to learn more about recent developments at the Consortium and new publications.
LDC will post conference updates via our Twitter feed and Facebook page. We hope to see you there!

LDC data and commercial technology development
For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing page for further information.


New publications:

(1) BOLT Egyptian-English Word Alignment -- Discussion Forum Training was developed by LDC and consists of 400,448 words of Egyptian Arabic and English parallel text enhanced with linguistic tags to indicate word relations.

The source data in this release consists of discussion forum threads harvested from the Internet by LDC using a combination of manual and automatic processes and is released as BOLT Arabic Discussion Forums (LDC2018T10).

The BOLT word alignment task was built on treebank annotation. Egyptian source tree tokens for word alignment were automatically extracted from tree files of BOLT Egyptian Arabic Treebank annotation on the discussion forum data. Human annotators then followed LDC guidelines to link words and phrases in Arabic to those in English.

BOLT Egyptian-English Word Alignment -- Discussion Forum Training is distributed via web download.

2019 Subscription Members will automatically receive copies of this corpus. 2019 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.



(2) Chinese Abstract Meaning Representation 1.0 was developed by Brandeis University and Nanjing Normal University and is comprised of semantic representations of a set of Chinese sentences from the weblog and discussion forum portions of Chinese Treebank 8.0 (LDC2013T21). Annotations were applied to 10,149 sentences, with 176 sentences unannotated.

Abstract Meaning Representation (AMR) captures ''who is doing what to whom'' in a sentence. Each sentence is paired with a graph that represents its whole-sentence meaning in a tree structure. Chinese AMR is based on the annotation methodology developed for English with adaptations for handling specific Chinese phenomena. The goal of the Chinese AMR project is to create a large aligned AMR corpus, of which this data set is the first release. For more information about the project, see the Chinese AMR homepage.

Chinese Abstract Meaning Representation 1.0 is distributed via web download.

2019 Subscription Members will automatically receive copies of this corpus. 2019 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.



(3) HAVIC MED Progress Test -- Videos, Metadata and Annotation was developed by LDC and is comprised of approximately 3,650 hours of user-generated videos with annotation and metadata.

In a collaboration with NIST (the National Institute of Standards and Technology) to advance multimodal event detection and related technologies, LDC developed a large, heterogeneous, annotated multimodal corpus for HAVIC (the Heterogeneous Audio Visual Internet Collection) that was used in the NIST-sponsored MED (Multimedia Event Detection) task for several years. HAVIC MED Progress Test is a subset of that corpus, specifically, a collection of event and background videos originally released to support the 2012-2015 MED tasks.

This release consists of videos of various events (event videos) and videos completely unrelated to events (background videos) harvested by a large team of human annotators. Each event video was manually annotated with a set of judgments describing its event properties and other salient features. Background videos were labeled with topic and genre categories.

HAVIC MED Progress Test -- Videos, Metadata and Annotation is distributed via hard drive.

2019 Subscription Members will automatically receive copies of this corpus. 2019 Standard Members may request a copy as part of their 16 free membership corpora. This corpus is a members-only release and is not available for non-member licensing. Contact ldcldc.upenn.edu for information about membership.



Membership Office
Linguistic Data Consortium
University of Pennsylvania
T: +1-215-573-1275
E: ldcldc.upenn.edu
M: 3600 Market St. Suite 810
Philadelphia, PA 19104


Linguistic Field(s): Computational Linguistics


Page Updated: 23-Apr-2019