Thursday, October 16, 2014

LDC 2014 October Newsletter

LDC at NWAV 43 

LDC Data Scholarship Update 

New publications:
Chinese Discourse Treebank 0.5 
GALE Arabic-English Word Alignment -- Broadcast Training Part 2 
United Nations Proceedings Speech ________________________________________________________________

LDC at NWAV 43 

LDC will be exhibiting at the 43rd New Ways of Analyzing Variation Conference (NWAV 43)  held this year October 23-26 in Chicago, Illinois. Please stop by our table in the Old Town Room on the third floor of the Hilton to learn more about the most recent developments at the Consortium and to check out our latest giveaways. As always, LDC will post conference updates via our Facebook page. We hope to see you in Chicago!

LDC Data Scholarship Update

LDC received many solid applications for the Fall 2014 LDC Data Scholarship Program.  We are in the process of reviewing submissions and will announce recipients soon. The LDC Data Scholarship program provides university students with access to LDC data at no-cost. Students were asked to complete an application which consisted of a proposal describing their intended use of the data, as well as a letter of support from their thesis adviser.

Data use proposals in this cycle included a range of research interests from opinion mining tagging to deceptive speech classification.

New publications

(1) Chinese Discourse Treebank 0.5 was developed at Brandeis University as part of the Chinese Treebank Project and consists of approximately 73,000 words of Chinese newswire text annotated for discourse relations. It follows the lexically grounded approach of the Penn Discourse Treebank (PDTB) (LDC2008T05) with adaptations based on the linguistic and statistical characteristics of Chinese text. Discourse relations are lexically anchored by discourse connectives (e.g., because, but, therefore), which are viewed as predicates that take abstract objects such as propositions, events and states as their arguments. Along with PDTB-style schemes for English, Turkish, Hindi and Czech, Chinese Discourse Treebank provides an additional perspective on how the PDTB approach can be extended for cross-lingual annotation of discourse relations.

Data was selected from the newswire material in Chinese Treebank 8.0 (LDC2013T21), specifically, from Xinhua News Agency stories. There are approximately 5,500 annotation instances. Following the PDTB format, each annotation instance consists of 27 vertical bar delimited fields. The fields specify the attributes of the discourse relation as a whole, as well as the attributes of its two arguments. Not all fields are filled in this release. Filled fields are indicated by a pair of angle brackets; the remaining fields are place holders for future releases.

Chinese Discourse Treebank 0.5 is distributed via web download.

2014 Subscription Members will automatically receive two copies of this data on disc.  2014 Standard Members may request a copy as part of their 16 free membership corpora.  Non-members may license this data for a fee.

*

(2) GALE Arabic-English Word Alignment -- Broadcast Training Part 2 was developed by LDC and contains 215,923 tokens of word aligned Arabic and English parallel text enriched with linguistic tags. This material was used as training data in the DARPA GALE (Global Autonomous Language Exploitation) program. Some approaches to statistical machine translation include the incorporation of linguistic knowledge in word aligned text as a means to improve automatic word alignment and machine translation quality. This is accomplished with two annotation schemes: alignment and tagging. Alignment identifies minimum translation units and translation relations by using minimum-match and attachment annotation approaches. A set of word tags and alignment link tags are designed in the tagging scheme to describe these translation units and relations. Tagging adds contextual, syntactic and language-specific features to the alignment annotation.

This release consists of Arabic source broadcast news and broadcast conversation data collected by LDC from 2007-2009.The Arabic word alignment tasks consisted of the following components:

Normalizing tokenized tokens as needed

Identifying different types of links

Identifying sentence segments not suitable for annotation

Tagging unmatched words attached to other words or phrases

GALE Arabic-English Word Alignment – Broadcast Training Part 2 is distributed via web download.

2014 Subscription Members will automatically receive two copies of this data on disc.  2014 Standard Members may request a copy as part of their 16 free membership corpora.  Non-members may license this data for a fee.

*

(3) United Nations Proceedings Speech was developed by the United Nations (UN) and contains approximately 8,500 hours of recorded proceedings in the six official UN languages, Arabic, Chinese, English, French, Russian and Spanish. The data was recorded in 2009-2012 from sessions 64-66 of the General Assembly (GA) and First Committee (FC) (Disarmament and International Security), and meetings 6434-6763 of the Security Council.

Recordings were made using a customized system following a daily internal circulated instruction from the Meetings Management Section. Most of the subjects and information related to a particular meeting or session are published in a UN Journal which can be found in the following here.

Data is presented either as mp3 or flac compressed wav and are 16-bit single channel files in either 22,050 or 8,000 Hz organized by committee and session number, then language. The folder labeled "Floor" indicates the microphone used by the particular speaker. Those files may include other languages, for instance, if the speaker's language was not among the six official UN languages.

United Nations Proceedings Speech is distributed on one hard drive.

2014 Subscription Members will receive one copy of this data, provided they have completed the user license agreement.  2014 Standard Members may request a copy as part of their 16 free membership corpora.  Non-members may license this data for a fee.