*Annotated English Gigaword* <#giga>
*Chinese-English Semiconductor Parallel Text * <#semi>* GALE Phase 2 Arabic Newswire Parallel Text <#gale>*
*Spring 2013 LDC Data Scholarship Program*//
Applications are now being accepted through January 15, 2013, 11:59PM EST for the Spring 2013 LDC Data Scholarship program! The LDC Data Scholarship program provides university students with access to LDC data at no-cost. During previous program cycles, LDC has awarded no-cost copies of LDC data to over 25 individual students and student research groups.
This program is open to students pursuing both undergraduate and graduate studies in an accredited college or university. LDC Data Scholarships are not restricted to any particular field of study; however, students must demonstrate a well-developed research agenda and a bona fide inability to pay. The selection process is highly competitive.
The application consists of two parts:
(1) Data Use Proposal. Applicants must submit a proposal describing their intended use of the data. The proposal should state which data the student plans to use and how the data will benefit their research project as well as information on the proposed methodology or algorithm.
Applicants should consult the LDC Corpus Catalog <http://www.ldc.upenn.edu/Catalog/index.jsp>for a complete list of data distributed by LDC. Due to certain restrictions, a handful of LDC corpora are restricted to members of the Consortium. Applicants are advised to select a maximum of one to two datasets; students may apply for additional datasets during the following cycle once they have completed processing of the initial datasets and publish or present work in some juried venue.
(2) Letter of Support. Applicants must submit one letter of support from their thesis adviser or department chair. The letter must verify the student's need for data and confirm that the department or university lacks the funding to pay the full Non-member Fee for the data or to join the consortium.
For further information on application materials and program rules, please visit the LDC Data Scholarship <http://www.ldc.upenn.edu/About/scholarships.html>page.
Students can email their applications to the LDC Data Scholarship program <mailto:datascholarships at ldc.upenn.edu>. Decisions will be sent by email from the same address.
The deadline for the Spring 2013 program cycle is January 15, 2013, 11:59PM EST.
(1) Annotated English Gigaword <http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2012T21>was developed by Johns Hopkins University's Human Language Technology Center of Excellence <http://hltcoe.jhu.edu/>. It adds automatically-generated syntactic and discourse structure annotation to English Gigaword Fifth Edition (LDC2011T07 <http://www.ldc.upenn.edu/Catalog/catalogEntry.jsp?catalogId=LDC2011T07>) and also contains an API and tools for reading the dataset's XML files. The goal of the annotation is to provide a standardized corpus for knowledge extraction and distributional semantics which enables broader involvement in large-scale knowledge-acquisition efforts by researchers.
Annotated English Gigaword contains the nearly ten million documents (over four billion words) of the original English Gigaword Fifth Edition from seven news sources:
* Agence France-Presse, English Service (afp_eng)
* Associated Press Worldstream, English Service (apw_eng)
* Central News Agency of Taiwan, English Service (cna_eng)
* Los Angeles Times/Washington Post Newswire Service (ltw_eng)
* Washington Post/Bloomberg Newswire Service (wpb_eng)
* New York Times Newswire Service (nyt_eng)
* Xinhua News Agency, English Service (xin_eng)
The following layers of annotation were added:
* Tokenized and segmented sentences
* Treebank-style constituent parse trees
* Syntactic dependency trees
* Named entities
* In-document coreference chains
The annotation was performed in a three-step process: (1) the data was preprocessed and sentences selected for annotation (sentences with more than 100 tokens were excluded); (2) syntactic parses were derived; and (3) the parsed output was post-processed to derive syntactic dependencies, named entities and coreference chains. Over 183 million sentences were parsed.
(2) Chinese-English Semiconductor Parallel Text <http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2012T22>was developed by The MITRE Corporation <http://www.mitre.org/>. It consists of parallel sentences from a collection of abstracts from scientific articles on semiconductors published in Mandarin and translated into English by translators with particular expertise in the technical area. Translators were instructed to err on the side of literal translation if required, but to maintain the technical writing style of the source and to make the resulting English as natural as possible. The translators followed specific guidelines for translation, and those are included in this distribution.
There are 2,169 lines of parallel Mandarin and English, with a total of 125,302 characters of Mandarin and 64,851 words of English, presented in a separate UTF-8 plain text file for each language. The sentences were translated in sequential order and presented in a scrambled order, such that parallel sentences at identical line numbers are translations. For example, the 31st line of the English file is a translation of the 31st line of the Mandarin file. The original line sequence is not provided.
(3) GALE Phase 2 Arabic Newswire Parallel Text <http://www.ldc.upenn.edu/Catalog/CatalogEntry.jsp?catalogId=LDC2012T17>was developed by LDC.Along with other corpora, the parallel text in this release comprised training data for Phase 2 of the DARPA GALE (Global Autonomous Language Exploitation) Program. This corpus contains Modern Standard Arabic source text and corresponding English translations selected from newswire data collected in 2007 by LDC and transcribed by LDC or under its direction.
GALE Phase 2 Arabic Newswire Parallel Text includes 400 source-translation pairs, comprising 181,704 tokens of Arabic source text and its English translation. Data is drawn from six distinct Arabic newswire sources.: Al Ahram, Al Hayat, Al-Quds Al-Arabi, An Nahar, Asharq Al-Awsat and Assabah.
The files in this release were transcribed by LDC staff and/or transcription vendors under contract to LDC in accordance with the Quick Rich Transcription <http://projects.ldc.upenn.edu/gale/Transcription/Arabic-XTransQRTR.V3.pdf>guidelines developed by LDC. Transcribers indicated sentence boundaries in addition to transcribing the text. Data was manually selected for translation according to several criteria, including linguistic features, transcription features and topic features. The transcribed and segmented files were then reformatted into a human-readable translation format and assigned to translation vendors. Translators followed LDC's Arabic to English translation guidelines. Bilingual LDC staff performed quality control procedures on the completed translations.
Ilya Ahtaridis Membership Coordinator -------------------------------------------------------------------- Linguistic Data Consortium Phone: 1 (215) 573-1275 University of Pennsylvania Fax: 1 (215) 573-2175 3600 Market St., Suite 810 ldc at ldc.upenn.edu Philadelphia, PA 19104 USA http://www.ldc.upenn.edu
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