Showing posts with label Arabic. Show all posts
Showing posts with label Arabic. Show all posts

Tuesday, August 15, 2017

LDC August 2017 Newsletter

Fall 2017 LDC Data Scholarship program

LDC at Interspeech 2017

New Publications:
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Fall 2017 LDC Data Scholarship program - September 15 deadline approaching

There is still time to apply to the Fall 2017 LDC Data Scholarship program. Applications will be accepted through Friday September 15, 2017. The LDC Data Scholarship program provides university students with access to LDC data at no cost. Students must complete an application which consists of a data use proposal and letter of support from their advisor.

For more information on application requirements and program rules, please visit the LDC Data Scholarship page. 

Applicants can email their materials to the LDC Data Scholarship program

LDC at Interspeech 2017

LDC will once again be exhibiting at Interspeech, held this year August 20-24 in Stockholm, Sweden. Stop by booth 17 to learn more about recent developments at the Consortium and new publications.

Also, be on the lookout for the following presentations featuring LDC work:

Speaker Comparison for Forensic and Investigative Applications III
LDC Executive Director, Chris Cieri, panelist for Topic A: “Process Map and Standardization”
Special Event Session, Wednesday August 23, 13:30-15:30, Hall B3

Call My Net Corpus: A Multilingual Corpus for Evaluation of Speaker Recognition Technology 
Karen Jones, Stephanie Strassel, Kevin Walker, David Graff, Jonathan Wright
Wednesday, August 23, 17:40-18:00 in the Agula Magna room 

LDC will post conference updates via our Twitter feed and Facebook page. We hope to see you there!   

New publications:
(1) Multi-Language Conversational Telephone Speech 2011 -- South Asian was developed by LDC and is comprised of approximately 118 hours of telephone speech in five distinct language varieties of South Asia (i.e. the Indian sub-continent): Bengali, Hindi, Punjabi, Tamil and Urdu. The data were collected primarily to support research and technology evaluation in automatic language identification, and portions of these telephone calls were used in the NIST 2011 Language Recognition Evaluation (LRE). LRE 2011 focused on language pair discrimination for 24 languages/dialects, some which could be considered mutually intelligible or closely related.

Participants were recruited by native speakers who contacted acquaintances in their social network. Those native speakers made one call, up to 15 minutes, to each acquaintance. The data was collected using LDC's telephone collection infrastructure, comprised of three computer telephony systems. Human auditors labeled calls for callee gender, dialect type, and noise. Demographic information about the participants was not collected.

LDC has also released the following as part of the Multi-Language Conversation Telephone Speech 2011 series: Slavic Group (LDC2016S11)  and Turkish (LDC2017S09).

Multi-Language Conversational Telephone Speech 2011 -- South Asian 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) GALE Phase 4 Arabic Broadcast Conversation Speech was developed by LDC and is comprised of approximately 75 hours of Arabic broadcast conversation speech collected in 2008 and 2009 by LDC, MediaNet, Tunis, Tunisia and MTC, Rabat, Morocco during Phase 4 of the DARPA GALE (Global Autonomous Language Exploitation) Program.

Corresponding transcripts are released as GALE Phase 4 Arabic Broadcast Conversation Transcripts (LDC2017T12).

This release contains 83 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 Arabic speaker following Audit Procedure Specification Version 2.0 which is included in this release. 

The broadcast conversation recordings in this release feature interviews, call-in programs and roundtable discussions focusing principally on current events from the following sources: Al Alam News Channel, based in Iran; Al Fayhaa, an Iraqi television channel; Al Hiwar, a regional broadcast station based in the United Kingdom; Alnurra, a U.S. government-funded regional broadcaster; Aljazeera, a regional broadcaster located in Doha, Qatar; Al Ordiniyah, a national broadcast station in Jordan; Dubai TV, a broadcast station in the United Arab Emirates; Lebanese Broadcasting Corporation, a Lebanese television station; Saudi TV, a national television station based in Saudi Arabia; Syria TV, the national television station in Syria; and Tunisian National TV, a national television station in Tunisia.

GALE Phase 4 Arabic Broadcast Conversation Speech 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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(3) GALE Phase 4 Arabic Broadcast Conversation Transcripts was developed by LDC and contains transcriptions of approximately 75 hours of Arabic broadcast conversation speech collected in 2008 and 2009 by LDC, MediaNet, Tunis, Tunisia and MTC, Rabat, Morocco during Phase 4 of the DARPA GALE (Global Autonomous Language Exploitation) program.

Corresponding audio data is released as GALE Phase 4 Arabic Broadcast Conversation Speech (LDC2017S15).

The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 475,211 tokens. 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 4 Arabic Broadcast Conversation Transcripts 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.

Thursday, January 19, 2017

LDC January 2017 Newsletter

LDC Membership Discounts for MY2017 Still Available

New publications:
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LDC Membership Discounts for MY2017 Still Available
Join LDC now while membership savings are still available. 2016 members receive a 10% discount when renewing before March 1, 2017, or a 5% discount when renewing any time in 2017. Non-consecutive members and new members receive a 5% discount when renewing before March 1, 2017.  Membership remains the most economical way to access LDC releases.  This year’s planned publications include 2010 NIST Speaker Recognition Evaluation data set, Multilanguage Conversational Telephone Speech, Noisy TIMIT, IARPA Babel Language Packs, RATS Keyword Spotting, BOLT parallel and word-aligned data in all languages and more. Browse the Members pages for details on membership options and benefits.

New Corpora

(1) Arabic Speech Recognition Pronunciation Dictionary was developed by the Qatar Computing Research Institute. It contains approximately two million pronunciation entries for 526,000 Modern Standard Arabic words, for an average of 3.84 pronunciations for each grapheme word. The dictionary was developed from news archive resources, including the Arabic news website Aljazeera.net. The selected words were those that occurred more than once in the news collection. 
Arabic Speech Recognition Pronunciation Dictionary 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 Vietnamese Language Pack IARPA-babel107b-v0.7 was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 201 hours of Vietnamese conversational and scripted telephone speech collected in 2012 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 Vietnamese speech in this release represents that spoken in the North, North-Central, Central and Southern dialect regions in Vietnam. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 64 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.

Transcripts are encoded in UTF-8.

IARPA Babel Vietnamese Language Pack IARPA-babel107b-v0.7 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) MWE-Aware English Dependency Corpus was developed by the Nara Institute of Science and Technology Computational Linguistics Laboratory and consists of English compound function words annotated in dependency format. The data is derived from the Wall Street Journal portion of OntoNotes Release 5.0 (LDC2013T19).
Compound function words are a type of multiword expression (MWE). MWEs are groups of tokens that can be treated as a single semantic or syntactic unit. Doing so facilitates natural language processing tasks such as constituency and dependency parsing.
MWE-Aware English Dependency Corpus 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) GALE Phase 3 and 4 Chinese Web Parallel Text was developed by LDC and contains Chinese source text and corresponding English translations selected from weblog and newsgroup data collected by LDC and translated by LDC or under its direction.
The data includes 88 source-translation document pairs, comprising 67,514 tokens of Chinese source text and its English translation.
GALE Phase 3 and 4 Chinese Web Parallel Text 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.

Monday, August 15, 2016

LDC August 2016 Newsletter


Fall 2016 Data Scholarship Program

LDC at Interspeech 2016

New Publications:
_______________________________________________________________________
Fall 2016 LDC Data Scholarship program - September 15 deadline approaching
Student applications for the Fall 2016 LDC Data Scholarship program are being accepted now through Thursday, September 15, 2016, 11:59PM EST.  The LDC Data Scholarship program provides university students with access to LDC data at no cost. Students must complete an application which consists of a data use proposal and letter of support from their advisor.

For more information on application requirements and program rules, please visit the LDC Data Scholarship page

Applicants can email their materials to the LDC Data Scholarship program

LDC at Interspeech 2016

LDC will once again be exhibiting at Interspeech, held this year September 9-12 in San Francisco, California. Stop by booth 17 to learn more about recent developments at the Consortium and new publications.

Also, be on the lookout for the following presentations featuring LDC work:

Automatic Analysis of Phonetic Speech Style Dimensions: Neville Ryant and Mark Liberman (both LDC)
Friday 9 September, Oral Session, Bayview A, 11:00am

The Rhythmic Constraint on Prosodic Boundaries in Mandarin Chinese Based on Corpora of Silent Reading and Speech Perception: Wei Lai (UPenn), Jiahong Yuan (LDC), Ya Li (Chinese Academy of Science), Xiaoying Xu (Beijing Normal University) and Mark Liberman (LDC)
Friday 9 September, Oral Session, Bayview A, 11:00am

Pitch-range Perception: the Dynamic Interaction Between Voice Quality and Fundamental Frequency: Jianjing Kuang (UPenn) and Mark Liberman (LDC)
Saturday 10 September, Poster Session A, 10:00am

Phoneme, Phone Boundary, and Tone in Automatic Scoring of Mandarin Proficiency: Jiahong Yuan and Mark Liberman (both LDC)
Sunday 11 September, Poster Session A, 10:00am

LDC will post conference updates via our Twitter feed and Facebook page. We hope to see you there!   


New Publications

(1) IARPA Babel Bengali Language Pack IARPA-babel103b-v0.4b was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 215 hours of Bengali conversational and scripted telephone speech collected in 2011 and 2012 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 Bengali speech in this release represents that spoken in India by native speakers of Bengali born in India. The gender distribution among speakers is approximately even; speakers' ages range from 16 years to 65 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments.

All audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format. Transcripts are available in two versions: the Bengali script and a romanization scheme developed by Appen Butler Hill, both encoded in UTF-8.

2016 Subscription Members will receive two copies of this corpus provided they have submitted a completed copy of the IARPA User Agreement for Not-for-Profit Members or the IARPA User Agreement for For-Profit Members. 2016 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee under a research license.

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(2) IARPA Babel Assamese Language Pack IARPA-babel102b-v0.5a was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 205 hours of Assamese 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 speech in this release represents three dialects spoken in Assam, a state in northeastern India. The gender distribution among speakers is approximately even; speakers' ages range from 16 years to 66 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments.

All audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format. Transcripts are available in two versions: Assamese script and a romanization scheme developed by Appen Butler Hill, both encoded in UTF-8.

2016 Subscription Members will receive two copies of this corpus provided they have submitted a completed copy of the IARPA User Agreement for Not-for-Profit Members or the IARPA User Agreement for For-Profit Members. 2016 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee under a research license.

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(3) GALE Phase 3 Arabic Broadcast News Speech Part 1 was developed by LDC and is comprised of approximately 132 hours of Arabic broadcast news speech collected in 2007 by LDC, MediaNet, Tunis, Tunisia and MTC, Rabat, Morocco during Phase 3 of the DARPA GALE (Global Autonomous Language Exploitation) program.

Corresponding transcripts are released as GALE Phase 3 Arabic Broadcast News Transcripts Part 1 (LDC2016T17).
  
The broadcast news recordings in this corpus feature news broadcasts focusing principally on current events from various broadcast programmers including Abu Dhabi TV, Al Alam News Channel, Al Arabiya, Al Iraqiyah, Aljazeera, Al Ordiniyah, Dubai TV, Kuwait TV, Lebanese Broadcast Corporation, Nile TV, Saudi TV and Syria TV.

This release contains 175 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 Arabic speaker.

2016 Subscription Members will automatically receive two copies of this corpus. 2016 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 Arabic Broadcast News Transcripts Part 1 was developed by LDC and contains transcriptions of approximately 132 hours of Arabic broadcast news speech collected in 2007 by LDC, MediaNet, Tunis, Tunisia and MTC, Rabat, Morocco during Phase 3 of the DARPA GALE (Global Autonomous Language Exploitation) program.

Corresponding audio data is released as GALE Phase 3 Arabic Broadcast News Speech Part 1 (LDC2016S07).

The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 741,689 tokens. The transcripts were created with the LDC tool, XTrans, which supports manual transcription and annotation of audio recordings. XTrans is available from the following link, https://www.ldc.upenn.edu/language-resources/tools/xtrans.
  
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.

2016 Subscription Members will automatically receive two copies of this corpus. 2016 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.

Tuesday, March 15, 2016

LDC March 2016 Newsletter

New publications:

GALE Phase 3 and 4 Arabic Web Parallel Text 
GALE Phase 3 and 4 Chinese Broadcast Conversation Parallel Text
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New Corpora
(1) DEFT Narrative Text was developed by LDC and contains proxy reports and their source newswire used to support DARPA's Deep Exploration and Filtering of Text (DEFT) program. One of the goals of the DEFT program was to develop technologies that can perform various NLP tasks on data in a variety of genres, both formal and informal.

LDC provided source data and annotations for DEFT system development. DEFT Narrative Text consists of "proxy reports" (and "multi-proxy reports") in English. (Multi-)proxy reports are intended to mimic the format and other features of some types of government analyst reports using content from newswire articles. The corresponding English newswire source documents are also included in the release.

LDC staff manually selected the source newswire from English Gigaword Fifth Edition (LDC2011T07).

The newswire source documents are XML files following the Gigaword corpus format. The proxy reports are in plain text format.

DEFT Narrative Text is distributed via web download.
2016 Subscription Members will automatically receive two copies of this corpus. 2016 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) GALEPhase 3 and 4 Arabic Web Parallel Text was developed by LDC. Along with other corpora, the parallel text in this release comprised training data for Phases 3 and 4 of the DARPA GALE (Global Autonomous Language Exploitation) Program. This corpus contains Modern Standard Arabic source text and corresponding English translations selected from weblog and newsgroup data collected by LDC and translated by LDC or under its direction.

The data includes 124 source-translation document pairs, comprising 61,662 tokens of Arabic source text and its English translation. Data is drawn from four various Arabic weblog and newsgroup sources.

GALE Phase 3 and 4 Arabic Web Parallel Text is distributed via web download.

2016 Subscription Members will automatically receive two copies of this corpus. 2016 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) GALEPhase 3 and 4 Chinese Broadcast Conversation Parallel Text was developed by LDC. Along with other corpora, the parallel text in this release comprised training data for Phases 3 and 4 of the DARPA GALE (Global Autonomous Language Exploitation) Program. This corpus contains Chinese source text and corresponding English translations selected from broadcast conversation data collected by LDC between 2006 and 2008 and transcribed and translated by LDC or under its direction.

This data includes 63 source-translation document pairs, comprising 487,466 tokens of Chinese source text and its English translation. Data is drawn from 19 distinct Chinese programs broadcast between 2006 and 2008.

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 Chinese to English translation guidelines. Bilingual LDC staff performed quality control procedures on the completed translations.

GALE Phase 3 and 4 Chinese Broadcast Conversation Parallel Text is distributed via web download.

2016 Subscription Members will automatically receive two copies of this corpus. 2016 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.


Wednesday, September 16, 2015

LDC 2015 September Newsletter

New Publications
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New Publications
(1) GALE Chinese-English Word Alignment and Tagging -- Broadcast Training Part 4 was developed by LDC and contains 243,038 tokens of word aligned Chinese 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 Chinese source broadcast conversation (BC) and broadcast news (BN) programming collected by LDC in 2008 and 2009. The distribution by genre, words, character tokens and segments appears below:
Language
Genre
Files
Words
CharTokens
Segments
Chinese
BC
69
67,782
101,674
2,276
Chinese
BN
29
94,242
141,364
3,152
Total

98
162,024
243,038
5,428

Note that all token counts are based on the Chinese data only. One token is equivalent to one character and one word is equivalent to 1.5 characters.
The Chinese word alignment tasks consisted of the following components:
  • Identifying, aligning, and tagging eight different types of links
  • Identifying, attaching, and tagging local-level unmatched words
  • Identifying and tagging sentence/discourse-level unmatched words
  • Identifying and tagging all instances of Chinese çš„ (DE) except when they were a part of a semantic link
GALE Chinese-English Word Alignment and Tagging -- Broadcast Training Part 4 is distributed via web download.

2015 Subscription Members will automatically receive two copies of this corpus on disc.  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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(2) GALE Phase 3 and 4 Arabic Newswire Parallel Text was developed by LDC. Along with other corpora, the parallel text in this release comprised training data for Phases 3 and 4 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 by LDC in 2007 and 2008 and transcribed and translated by LDC or under its direction.

This data includes 551 source-translation document pairs, comprising 156,775 tokens of Arabic source text and its English translation. Data is drawn from seven distinct Arabic newswire sources: Agence France Presse, 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 guidelines developed by LDC. The transcribed and segmented files were 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.  Source data and translations are distributed in TDF format.

GALE Phase 3 and 4 Arabic Newswire Parallel Text is distributed via web download.

2015 Subscription Members will automatically receive two copies of this corpus on disc.  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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(3) NewSoMe Corpus of Opinion in News Reports was compiled at Barcelona Media and consists of Spanish, Catalan and Portuguese news reports annotated for opinions. It is part of the NewSoMe (News and Social Media) set of corpora presenting opinion annotations across several genres and covering multiple languages. NewSoMe is the result of an effort to build a unifying annotation framework for analyzing opinion in different genres, ranging from controlled text, such as news reports, to diverse types of user-generated content that includes blogs, product reviews and microblogs.

The source data in this release was obtained from various newspaper websites and consists of approximately 200 documents in each of Spanish, Catalan and Portuguese. The annotation was carried out manually through the crowdsourcing platform CrowdFlower with seven annotations per layer that were aggregated for this data set. The layers annotated were topic, segment, cue, subjectivity, polarity and intensity.

NewSoMe Corpus of Opinion in News Reports is distributed via web download.

2015 Subscription Members will automatically receive two copies of this corpus on disc.  2015 Standard Members may request a copy as part of their 16 free membership corpora.  Non-members may license this data for a fee.

Tuesday, August 18, 2015

LDC 2015 August Newsletter

Fall 2015 LDC Data Scholarship program - September 15 deadline approaching 

LDC at Interspeech 2015

2013 Data Pack deadline is September 15

LDC co-organizes LSA2016 Pre-conference Workshop

New publications:

Fall 2015 LDC Data Scholarship program - September 15 deadline approaching
Student applications for the Fall 2015 LDC Data Scholarship program are being accepted now through Tuesday, September 15, 2015, 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.  

Applicants can email their materials to the LDC Data Scholarship program

LDC at Interspeech 2015
LDC will once again be exhibiting at Interspeech, held this year September 7-10 in Dresden, Germany.  Stop by booth 20 to learn more about recent developments at the Consortium and new publications.

Also, be on the lookout for the following presentations featuring LDC work:

Monday 7 September, Poster Session 3-9, 11:00–13:00
Investigating Consonant Reduction in Mandarin Chinese with Improved Forced Alignment: Jiahong Yuan and Mark Liberman (both LDC) 

Wednesday 9 September, Oral Session 36-5, 17:50-18:10

The Effect of Spectral Slope on Pitch Perception: Jianjing Kuang (UPenn) and Mark Liberman (LDC)

LDC will post conference updates via our Twitter feed and Facebook page. We hope to see you there!  

2013 Data Pack deadline is September 15
One month remains for not-for-profit and government organizations to create a custom data collection of eight corpora from among LDC’s 2013 releases. Selection options include: 1993-2007 United Nations Parallel Text, Chinese Treebank 8.0, CSC Deceptive Speech, GALE Arabic and Chinese speech and text releases, Greybeard, MADCAT training data, NIST 2012 Open Machine Translation (OpenMT) evaluation and progress sets, and more. The 2013 Data Pack is available for a flat rate of $3500 through September 15, 2015.

To license the Data Pack and select eight corpora, login or register for an LDC user account and add the 2013 Data Pack and each of the eight data sets to your bin. Follow the check-out procedure, sign all applicable user agreements and select payment via wire transfer, purchase order or check. LDC will adjust the invoice total to reflect the data pack fee.

To pay via credit card, add the 2013 Data Pack to your bin and check out using the system prompts. At the completion of the transaction, send an email to LDC indicating the eight data sets to include in your order. 

LDC co-organizes LSA2016 Pre-conference Workshop
University of Arizona’s Malcah Yeager-Dror and LDC’s Chris Cieri are organizing the upcoming LSA 2016 workshop “Preparing your Corpus for Archival Storage”. The session is sponsored by the National Science Foundation (BCS #1549994) and will be held on Thursday, January 7, 2016 in Washington, DC before the start of the 90th Annual Meeting of the Linguistic Society of America (LSA 2016).

The workshop will examine critical factors which must be considered when preparing data for comparison and sharing following on the topics discussed in the LSA 2012 workshop, "Coding for Sociolinguistic Archive Preparation". Invited speakers will discuss specific coding conventions for such factors as socioeconomic and educational speaker demographics, language choice, stance and footing.

There will be no additional registration fees to attend the session for those already taking part in the annual meeting. Students who are about to carry out their own fieldwork, or who have begun doing so, are eligible to apply for funding by November 2, 2015 to help defray the extra costs for attending the workshop. For more information about the speakers and topics, visit LDC’s workshop page.

New publications
(1) Arabic Learner Corpus was developed at the University of Leeds and consists of written essays and spoken recordings by Arabic learners collected in Saudi Arabia in 2012 and 2013. The corpus includes 282,732 words in 1,585 materials, produced by 942 students from 67 nationalities studying at pre-university and university levels. The average length of an essay is 178 words.

Two tasks were used to collect the written data, and participants had the choice to do one or both of them. In each of those tasks, learners were asked to write a narrative about a vacation trip and a discussion about the participant's study interest. Those choosing the first task generated a 40 minute timed essay without the use of any language reference materials. In the second task, participants completed the writing as a take-home assignment over two days and were permitted to use language reference materials.

The audio recordings were developed by allowing students a limited amount of time to talk about the topics above without using language reference materials.

The original handwritten essays were transcribed into an electronic text format. The corpus data consists of three types: (1) handwritten sheets scanned in PDF format; (2) audio recordings in MP3 format; and (3) textual unicode data in plain text and XML formats (including the transcribed audio and transcripts of the handwritten essays). The audio files are either 44100Hz 2-channel or 16000Hz 1-channel mp3 files.

Arabic Learner Corpus is distributed via web download.

2015 Subscription Members will automatically receive two copies of this corpus provided that they have completed the license agreement.  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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(2) GALE Phase 3 Arabic Broadcast Conversation Speech Part 1 was developed by LDC and is comprised of approximately 123 hours of Arabic broadcast conversation speech collected in 2007 by LDC, MediaNet, Tunis, Tunisia and MTC, Rabat, Morocco during Phase 3 of the DARPA GALE (Global Autonomous Language Exploitation) program.

Corresponding transcripts are released as GALE Phase 3 Arabic Broadcast Conversation Transcripts Part 1 (LDC2015T16).

Broadcast audio for the GALE program was collected at LDC’s Philadelphia, PA USA facilities and at three remote collection sites. The combined local and outsourced broadcast collection supported GALE at a rate of approximately 300 hours per week of programming from more than 50 broadcast sources for a total of over 30,000 hours of collected broadcast audio over the life of the program.

The broadcast conversation recordings in this release feature interviews, call-in programs and roundtable discussions focusing principally on current events from the following sources: Abu Dhabi TV, Al Alam News Channel,  Al Arabiya,  Aljazeera,  Al Ordiniyah,  Dubai TV,  Lebanese Broadcasting Corporation, Oman TV,  Saudi TV,  and Syria TV.

This release contains 149 audio files presented in FLAC-compressed Waveform Audio File format (.flac), 16000 Hz single-channel 16-bit PCM. 

GALE Phase 3 Arabic Broadcast Conversation Speech Part 1 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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(3) GALE Phase 3 Arabic Broadcast Conversation Transcripts Part 1 was developed by LDC and contains transcriptions of approximately 123 hours of Arabic broadcast conversation speech collected in 2007 by LDC, MediaNet, Tunis, Tunisia and MTC, Rabat, Morocco during Phase 3 of the DARPA GALE (Global Autonomous Language Exploitation) program.

Corresponding audio data is released as GALE Phase 3 Arabic Broadcast Conversation Speech Part 1 (LDC2015S11).

The transcript files are in plain-text, tab-delimited format (TDF) with UTF-8 encoding, and the transcribed data totals 733,233 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 Arabic Broadcast Conversation Transcripts Part 1 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.