Showing posts with label CoNLL Shared Task. Show all posts
Showing posts with label CoNLL Shared Task. Show all posts

Thursday, September 14, 2017

LDC September 2017 Newsletter

New Publications:

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New publications:

(1) 2015-2016 CoNLL Shared Task contains the Chinese and English training, development and test data for the 2015 and 2016 CoNLL (Conference on Computational Natural Language Learning) Shared Task Evaluation which focused on shallow discourse parsing. This release consists of the tokenized, tagged, and parsed tags in English and Chinese. The English train, dev and test data are from Wall Street Journal material in Penn Discourse Treebank Version 2.0 (LDC2008T05); English blind test data are from wikinews. Chinese train, dev and test data are news material from Chinese Discourse Treebank 0.5 (LDC2014T21); Chinese blind test data are from wikinews.

LDC has also released the following CoNLL Shared Task data sets:
·         2006 CoNLL Shared Task - Ten Languages (LDC2015T11)
·         2006 CoNLL Shared Task - Arabic & Czech (LDC2015T12)
·         2008 CoNLL Shared Task Data (LDC2009T12)
·         2009 CoNLL Shared Task Part 1 (LDC2012T03)
·         2009 CoNLL Shared Task Part 2 (LDC2012T04)

2015-2016 CoNLL Shared Task is distributed via web download.

2017 Subscription Members will receive copies of this corpus. 2017 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.

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(2) IARPA Babel Zulu Language Pack IARPA-babel206b-v0.1e was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 211 hours of Zulu conversational and scripted telephone speech collected in 2012 and 2013 along with corresponding transcripts.

The Babel program focuses on underserved languages and seeks to develop speech recognition technology that can be rapidly applied to any human language to support keyword search performance over large amounts of recorded speech.

The Zulu speech in this release represents that spoken in the KZN (KwaZulu-Natal)-urban dialect region of South Africa. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 70 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments including the street, a home or office, a public place, and inside a vehicle.

IARPA Babel Zulu Language Pack IARPA-babel206b-v0.1e is distributed via web download.

2017 Subscription Members will receive copies of this corpus provided they have submitted a completed copy of the special license agreement. 2017 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee. 

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(3) SRI-FRTIV (Five-way Recorded Toastmaster Intrinsic Variation) was developed by SRI International in 2007-2008 and is comprised of approximately 232 hours of English speech from thirty-four speakers who were members of Toastmaster clubs. Participants were asked to speak at three different levels of effort (low, normal and high) in four different styles (interview, conversation, reading and oration) to study the question of how intrinsic variations -- associated with the speaker rather than the recording environment -- affect text-independent speaker verification.

Participants were native speakers of North American English who were members of local Toastmasters clubs and had experience in public speaking. This release includes demographic information for 30 speakers (15 male, 15 female), including gender, birth year, height, education level, years in Toastmasters, and a self-evaluation of speaking skills.

SRI-FRTIV is distributed via web download.

2017 Subscription Members will receive copies of this corpus. 2017 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.

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(4) Vehicle City Voices Corpus – Part I was developed at the University of Michigan-Flint and is an ongoing oral history project and survey of English language variation in Flint, Michigan. It contains approximately 16 hours of speech with corresponding transcripts from interviews of Flint residents conducted between 2012 and 2015. The corpus was designed to provide high-quality recordings for acoustic analysis and to examine narrative structure and discursive construction of individual and collective identity in urban spaces.

This release is comprised of 21 interviews by undergraduate and graduate students for civic engagement projects in linguistics courses and by a graduate student research assistant. Participants (11 female, 10 male) were born between 1935 and 1991 and represented a range of ages, genders, and ethnicities. Of the interviewees, 11 were Black/African American, 8 were White/Caucasian, and 2 were biracial/mixed ethnic heritage.

Metadata (where provided by participants) includes information on gender, ethnicity, year of birth, level of education, field of employment, average income, length of time living in Flint and its surrounding areas, as well as interviewer age, gender, and ethnicity. In addition, original interview durations, edited interview durations, interview year, and transcript word counts are also provided in the metadata file.

Vehicle City Voices Corpus – Part I is available as a web download. 

2017 Subscription Members will receive copies of this corpus provided they have submitted a completed copy of the special license agreement. 2017 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.



Wednesday, December 16, 2015

LDC 2015 December Newsletter

Renew your LDC membership today

Spring 2016 LDC Data Scholarship Program - deadline approaching

LDC at LSA 2016

LDC to close for Winter Break

New publications
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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.

Now is also a good time to consider joining LDC for the current and open membership years, MY2015 and MY2014.  MY2015 includes data such as RATS Speech Activity Detection and updates to Penn Treebank. MY2014 remains open through the end of the 2015 calendar year and its publications include UN speech data, 2009 NIST LRE test set, 2007 ACE multilingual data, and multi-channel WSJ audio. For full descriptions of these data sets, visit our Catalog.

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.

Students will need to complete an application which consists of a data use proposal and letter of support from their adviser. For further information on application materials and program rules, please visit the LDC Data Scholarship page.

Students can email their applications to the LDC Data Scholarships program. Decisions will be sent by email from the same address.

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
Malcah Yaeger-Dror (University of Arizona) and Christopher Cieri (LDC)
Thursday, January 7, 2016 - 8:00am to 3:00pm, Salon 4

Broadening connections among researchers in linguistics and human language technologies
Jeff Good (University at Buffalo) and Christopher Cieri (LDC)
Friday, January 8, 2016 - 7:30am to 9:00am, Salon 1

Diachronic development of pitch contrast in Seoul Korean
Sunghye Cho (UPenn), Yong-cheol Lee (Cheongju University) and Mark Liberman (LDC)
Friday, January 8, 2016 - 2:00pm to 5:00pm, Salon 1

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.

New publications
(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:
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.


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(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:
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.
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(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 a fee.
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(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 a fee.