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ISCApad #211 |
Wednesday, January 13, 2016 by Chris Wellekens |
In this newsletter: Renew your LDC membership today Spring 2016 LDC Data Scholarship Program - deadline approaching New publications Renew your LDC membership today Membership Year 2016 (MY2016) discounts are available for those who keep their membership current and join early in the year. Check here for further information including our planned publications for MY2016.
Spring 2016 LDC Data Scholarship Program - deadline approaching The deadline for the Spring 2016 LDC Data Scholarship Program is right around the corner! Student applications are being accepted now through January 15, 2016, 11:59PM EST. The LDC Data Scholarship program provides university students with access to LDC data at no cost. 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. LDC at LSA 2016 LDC will be exhibiting at the Annual Meeting of the Linguistic Society of America, held January 7-10, 2016 in Washington, DC. Stop by booth 110 to learn more about recent developments at the Consortium and new publications. Also, be on the lookout for the following presentations: Satellite Workshop: Preparing Your Corpus for Archival Storage Broadening connections among researchers in linguistics and human language technologies Diachronic development of pitch contrast in Seoul Korean LDC will post conference updates via our Twitter feed and Facebook page. We hope to see you there!
LDC to close for Winter Break LDC will be closed from Friday, December 25, 2015 through Friday, January 1, 2016 in accordance with the University of Pennsylvania Winter Break Policy. Our offices will reopen on Monday, January 4, 2016. Requests received for membership renewals and corpora during the Winter Break will be processed at that time. (1) 2006 CoNLL Shared Task - Arabic & Czech consists of Arabic and Czech dependency treebanks used as part of the CoNLL 2006 shared task on multi-lingual dependency parsing. This corpus is cross listed with ELRA as ELRA-W0087. The Conference on Computational Natural Language Learning (CoNLL) is accompanied every year by a shared task intended to promote natural language processing applications and evaluate them in a standard setting. In 2006 , the shared task was devoted to the parsing of syntactic dependencies using corpora from up to thirteen languages. The task aimed to define and extend the then-current state of the art in dependency parsing, a technology that complemented previous tasks by producing a different kind of syntactic description of input text. More information about the 2006 shared task is available on the CoNLL-X web page. This source data in this release consists principally of news and journal texts. The individual data sets are subsets of the following: Prague Arabic Dependency Treebank (PADT) 1.0 The Prague Dependency Treebank 1.0 2006 CoNLL Shared Task - Arabic & Czech is distributed via web download. 2015 Subscription Members will automatically receive two copies of this corpus. 2015 Standard Members may request a copy as part of their 16 free membership corpora. This data is being made available at no-cost for non-member organizations under a research license. * (2) 2006 CoNLL Shared Task - Ten Languages consists of dependency treebanks in ten languages used as part of the CoNLL 2006 shared task on multi-lingual dependency parsing. The languages covered in this release are: Bulgarian, Danish, Dutch, German, Japanese, Portuguese, Slovene, Spanish, Swedish and Turkish. This corpus is cross listed and jointly released with ELRA as ELRA-W0086. The Conference on Computational Natural Language Learning (CoNLL) is accompanied every year by a shared task intended to promote natural language processing applications and evaluate them in a standard setting. In 2006 , the shared task was devoted to the parsing of syntactic dependencies using corpora from up to thirteen languages. The task aimed to define and extend the then-current state of the art in dependency parsing, a technology that complemented previous tasks by producing a different kind of syntactic description of input text. More information about the 2006 shared task is available on the CoNLL-X web page. The source data in the treebanks in this release consists principally of various texts (e.g., textbooks, news, literature) annotated in dependency format. In general, dependency grammar is based on the idea that the verb is the center of the clause structure and that other units in the sentence are connected to the verb as directed links or dependencies. The individual data sets are: BulTreeBank (Bulgarian) The Danish Dependency Treebank (Danish) The Alpino Treebank (Dutch) The TIGER Corpus (German) Treebank Tuba-J/S (Japanese) Floresta Sinta(c)tica (Portuguese) Slovene Dependency Treebank, SDT V0.1 (Slovene) Cast3LB (Spanish) Talbanken05 (Swedish) METU-Sabanci Turkish Treebank (Turkish) 2006 CoNLL Shared Task - Ten Languages is distributed via web download. 2015 Subscription Members will automatically receive two copies of this corpus. 2015 Standard Members may request a copy as part of their 16 free membership corpora. This data is being made available at no-cost for non-member organizations under a research license.
* (3) GALE Phase 3 Chinese Broadcast News Speech was developed by LDC and is comprised of approximately 150 hours of Mandarin Chinese broadcast news speech collected in 2007 and 2008 by LDC and Hong University of Science and Technology (HKUST), Hong Kong, during Phase 3 of the DARPA GALE (Global Autonomous Language Exploitation) Program. Corresponding transcripts are released as GALE Phase 3 Chinese Broadcast News Transcripts (LDC2015T25). The broadcast news recordings in this release feature news broadcasts focusing principally on current events from the following sources: Anhui TV, China Central TV (CCTV), Phoenix TV and Voice of America (VOA). This release contains 279 audio files presented in FLAC-compressed Waveform Audio File format (.flac), 16000 Hz single-channel 16-bit PCM. Each file was audited by a native Chinese speaker following Audit Procedure Specification Version 2.0 which is included in this release. GALE Phase 3 Chinese Broadcast News Speech is distributed via web download. 2015 Subscription Members will automatically receive two copies of this corpus. 2015 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for US$2000.
* (4) GALE Phase 3 Chinese Broadcast News Transcripts was developed by LDC and contains transcriptions of approximately 150 hours of Chinese broadcast news speech collected in 2007 and 2008 by LDC and Hong University of Science and Technology (HKUST), Hong Kong, during Phase 3 of the DARPA GALE (Global Autonomous Language Exploitation) Program. Corresponding audio data is released as GALE Phase 3 Chinese Broadcast News Speech (LDC2015S13). The broadcast news recordings for transcription feature news broadcasts focusing principally on current events from the following sources: Anhui TV, China Central TV (CCTV), Phoenix TV and Voice of America (VOA). The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 1,933,695 tokens. The transcripts were created with the LDC-developed transcription tool, XTrans, a multi-platform, multilingual, multi-channel transcription tool that supports manual transcription and annotation of audio recordings. The files in this corpus were transcribed by LDC staff and/or by transcription vendors under contract to LDC. Transcribers followed LDC's quick transcription guidelines (QTR) and quick rich transcription specification (QRTR) both of which are included in the documentation with this release. GALE Phase 3 Chinese Broadcast News Transcripts is distributed via web download. 2015 Subscription Members will automatically receive two copies of this corpus. 2015 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for US$1500.
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