Showing posts with label Chinese Broadcast News Parallel Sentences. Show all posts
Showing posts with label Chinese Broadcast News Parallel Sentences. Show all posts

Tuesday, July 19, 2016

LDC July 2016 Newsletter

Fall 2016 Data Scholarship Program

2015 User Survey Results

New Publications:
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Fall 2016 Data Scholarship Program

Applications are now being accepted through Thursday, September 15, 2016 for the Fall 2016 LDC Data Scholarship program. 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. The selection process is highly competitive.

The application consists of two parts:
(1) Data Use Proposal. Applicants must submit a two-page proposal describing their intended use of the data. The proposal should state which data the student plans to use, how the data will benefit their research project, the proposed methodology or algorithm which will be used and how success will be measured.

Applicants should consult the Catalog 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 databases.

(2) Letter of Support. Applicants must submit one letter of support from their thesis adviser or department chair. The letter must be signed and printed on letterhead, describe the student and the research, evaluate the probability of success and confirm that the department or university lacks the funding to pay the full non-member fee for the data. 

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


2015 User Survey Results
LDC conducted its fourth user survey in December 2015. This survey built on the previous surveys conducted in 2006, 2007 and 2012 to assess user sentiment and also asked for the evaluation of key LDC-related topics including:
·         Opinions on the new website and usability of the Catalog
·         Use and satisfaction with the enhanced user services and e-commerce system
·         LDC’s Data Management Plan capabilities
·         Suggestions for future publications and preferred data delivery methods
·         Use of web services for data access and processing

Overall, survey respondents were satisfied with LDC’s data, membership options, website, Catalog and enhanced user services. Participants cited the top five most useful corpora received between 2012 and 2015 as OntoNotes Release 5.0TIMITTAC KBP Reference Knowledge BasePenn Discourse Treebank V 2.0, and Multi-Channel WSJ Audio. Three fourths of respondents prefer digital delivery of data and the top three languages for current research demands were identified as English, Chinese and Spanish.

We thank everyone who participated in this survey. Responses will benefit the future of the Consortium and will help LDC to better meet the needs of our members and data licensees.


New Corpora

(1) English Speed Networking Conversational Transcripts was developed at the University of the West of England and contains 388 transcripts of English face-to-face and instant messaging conversations  about business ideas collected in 2014 and 2015 from participants (undergraduate students) playing different power roles.

This corpus was created to examine communication accommodation, specifically, the ways in which an individual's linguistic style is affected by social power and personality. The data was collected in two studies. In the first study, 40 participants had a series of paired five minute face-to-face conversations playing either a high, low or neutral power role. The same procedure was followed in the second study except that participants discussed business ideas via instant messaging.

The face-to-face conversations were audio-recorded and transcribed verbatim.

All transcripts are presented as UTF-8 plain text files.

English Speed Networking Conversational Transcripts 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 US $400.00

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(2) Digital Archive of Southern Speech - NLP Version (DASS-NLP) was developed by LDC as an alternate version of Digital Archive of Southern Speech (DASS) (LDC2012S03) suitable for natural language processing and human language technology applications. Specifically, the original audio files have been converted to 16kHz 16-bit flac compressed wav and file names have been normalized to facilitate automatic processing.

DASS was developed by the University of Georgia. It is a subset of the Linguistic Atlas of the Gulf States (LAGS), which is in turn part of the Linguist Atlas Project (LAP). DASS-NLP contains approximately 366 hours of English speech data from 30 female speakers and 34 male speakers, along with associated metadata about the speakers, the recordings and maps in .jpeg format relating to the recording locations.

LAP consists of a set of survey research projects about the words and pronunciation of everyday American English, the largest project of its kind in the United States. Interviews with thousands of native speakers across the country have been carried out since 1929. LAGS surveyed the everyday speech of Georgia, Tennessee, Florida, Alabama, Mississippi, Arkansas, Louisiana, and Texas in a series of 914 audio-taped interviews conducted from 1968-1983.

The speakers' average age is 61 years; there are 30 women and 34 men from the Gulf States region represented in this release. The interviews cover common topics such as family, the weather, household articles and activities, agriculture and social conditions.   

Digital Archive of Southern Speech - NLP Version is distributed via web download.

2016 Not-for-Profit Subscription Members will automatically receive two copies of this corpus. 2016 For-Profit Subscription Members will receive two copies provided they have submitted a completed copy of the For-Profit Member User License Agreement for Digital Archive of Southern Speech – NLP Version (LDC2016S05). 2016 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 and 4 Chinese Broadcast News 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 news data collected by LDC between 2006 and 2008 and transcribed and translated by LDC or under its direction.

GALE Phase 3 and 4 Chinese Broadcast News Parallel Text includes 76 source-translation document pairs, comprising 614,608 tokens of Chinese source text and its English translation. Data is drawn from 16 distinct Chinese programs broadcast between 2006 and 2008 by China Central TV, a national and international broadcaster in Mainland China and Phoenix TV, a Hong Kong-based satellite television station. The programs in this release feature news programs on current events topics.

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.

Source data and translations are distributed in TDF format. All data are encoded in UTF-8.

GALE Phase 3 and 4 Chinese Broadcast News Parallel 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 US $1750.00

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(4IARPA Babel Cantonese Language Pack IARPA-babel101b-v0.4c was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 215 hours of Cantonese conversational and scripted telephone speech collected in 2011 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 Cantonese speech in this release represents that spoken in the Chinese provinces of Guangdong and Guangxi, and within those provinces, among five dialect groups. The gender distribution among speakers is approximately even; speakers' ages range from 16 years to 67 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.

All audio data is presented as 8kHz 8-bit a-law encoded audio in sphere format. Transcripts are available in two versions: simplified Chinese characters and a romanization scheme based on the Yale system, both encoded in UTF-8.

IARPA Babel Cantonese Language Pack IARPA is distributed via web download

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 US $25.00 under a research license


Friday, October 16, 2015

LDC 2015 October Newsletter

In this newsletter:
Fall 2015 LDC Data Scholarship recipients

New publications:
GALE Phase 4 Chinese  Broadcast News Parallel Sentences
Karlsruhe Children's Text


Fall 2015 LDC Data Scholarship recipients

Congratulations to the recipients of LDC's Fall 2015 data scholarships:
Anthony Beylerian - Keio University (Japan), MSc, Informatics and Computer Science.  Anthony has been awarded a copy of OntoNotes for his work in word sense disambiguation.
Siti Binte Faizal - Newcastle University (UK), PhD candidate, Speech and Language Sciences.  Siti has been awarded a copy of Levantine Arabic QT Training Speech and Text for her work in psycholinguistics.
Sara El-Kafrawy - Ain Shams University (Egypt), MSc candidate, Computer and Information Sciences.  Sara has been awarded a copy of GALE Arabic English Word Alignment and Arabic Gigaword for her work in machine translation.
Marwa Hadj Salah - University of Sfax (Tunisia), PhD candidate, Computer Science.  Marwa has been awarded a copy of Arabic English Parallel News and Arabic News Translation Text for her work in machine translation.
Tomoaki Goto - University of Tokyo (Japan), PhD candidate, Linguistics.  Tomoaki has been awarded a copy of Arabic Newswire English Translation for his work in syntax.
Richard Metzger - Pennsylvania State University (USA), PhD candidate, Electrical Engineering.  Richard has been awarded a copy of 2008 NIST Speaker Recognition Training Part 2 and Test for his work in speaker recognition.
Jun Ren - Massey University (New Zealand), PhD, Engineering.  Jun has been awarded a copy of TORGO Dysarthric Articulation for his work in speaker recognition.
Gozde Sahin - Istanbul Technical University (Turkey), PhD candidate, Computer Engineering and Informatics.  Gozde has been been awarded a copy of 2009 CoNLL Parts 1 and 2 for her work in semantic role labeling.
Alexey Sholokhov - University of Eastern Finland (Finland), PhD candidate, Computer Sciences.  Alexey has been awarded a copy of RATS Speech Activity Detection for his work in speaker verification.
Stefan Watson - University of the West Indies (Jamaica),  PhD candidate, Physics.  Stefan has been awarded a copy of CMU Kids for his work in phonology and speech recognition.
For program information visit the Data Scholarship page. 

New publications         
(1) ACE2007 Spanish DevTest - Pilot Evaluation was developed by LDC. This publication contains the complete set of Spanish development and test data to support the 2007 Automatic Content Extraction (ACE) technology evaluation, namely, newswire data annotated for entities and temporal expressions.

The objective of the ACE program was to develop automatic content extraction technology to support automatic processing of human language in text form from a variety of sources including newswire, broadcast programming and weblogs. In the 2007 evaluation, participants were tested on system performance for the recognition of entities, values, temporal expressions, relations, and events in Chinese and English and for the recognition of entities and temporal expressions in Arabic and Spanish. LDC's work in the ACE program is described in more detail on the LDC ACE project pages.

LDC has also released ACE 2007 Multilingual Training Corpus (LDC2014T18) which contains the Arabic and Spanish training data used in the 2007 evaluation.

The data consists of newswire material published in May 2005 from the following sources: Agence France Press, The Associated Press and Xinhua News Agency.

All files were annotated by two human annotators working independently. Discrepancies between the two annotations were adjudicated by a senior team member resulting in a gold standard file.

There are three annotation directories for each newswire story that contain an identical copy of the source text in SGML format and two associated annotated versions in XML format and tab delimited format. All text is UTF-8 encoded.

ACE 2007 Spanish DevTest - Pilot Evaluation 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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(2) GALEPhase 4 Chinese Broadcast News Parallel Sentences was developed by LDC. Along with other corpora, the parallel text in this release comprised training data for Phase 4 of the DARPA GALE (Global Autonomous Language Exploitation) Program. This corpus contains Chinese source sentences and corresponding English translations selected from broadcast news data collected by LDC in 2008 and transcribed and translated by LDC or under its direction.

GALE Phase 4 Chinese Broadcast News Parallel Sentences includes 40 source-translation document pairs, comprising 156,429 tokens of Chinese source text and its English translation. Data is drawn from eight distinct Chinese programs broadcast in 2008 from China Central TV, a national and international broadcaster in Mainland China; and Voice of America, a U.S. government-funded broadcast programmer. The programs in this release feature news programs on current events topics.

The data was transcribed by LDC staff and/or transcription vendors under contract to LDC in accordance with the Quick Rich Transcription guidelines developed by LDC. Transcribers indicated sentence boundaries in addition to transcribing the text. Sentences were selected for translation in two steps. First, files were chosen using sentence selection scripts provided by GALE program participants SRI International and IBM. The output was then manually reviewed by LDC staff to eliminate problematic sentences. Selected files were reformatted into a human-readable translation format and assigned to translation vendors. Translators followed LDC's Chinese to English translation guidelines and were provided with the full source documents containing the target sentences for their reference. Bilingual LDC staff performed quality control procedures on the completed translations.

Source data and translations are distributed in TDF format. TDF files are tab-delimited files containing one segment of text along with meta information about that segment. Each field in the TDF file is described in TDF_format.txt. All data are encoded in UTF-8.

GALE Phase 4 Chinese Broadcast News Parallel Sentences 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) KarlsruheChildren's Text was developed by the Cooperative State University Baden-Württemberg, University of Education and Karlsruhe Institute of Technology. It consists of over 14,000 freely written, German sentences from more than 1,700 school children in grades one through eight.

The data collection was conducted in 2011-2013 at elementary and secondary schools in and around Karlsruhe, Germany. Students were asked to write as verbose a text as possible. Those in grades one to four were read two stories and were then asked to write their own stories. Students in grades five through eight were instructed to write on a specific theme, such as "Imagine the world in 20 years. What has changed?”. The goal of the collection was to use the data to develop a spelling error classification system.

Annotators converted the handwritten text into digital form with all errors committed by the writers; they also created an orthographically correct version of every sentence. Metadata about the text was gathered, including the circumstances under which it was collected, information about the student writer and background about spelling lessons in the particular class. In a second step, the students' spelling errors were annotated into general groupings: grapheme level, syllable level, morphology and syntax. The files were anonymized in a third step.

This release also contains metadata regarding the writers’ language biography, teaching methodology, age, gender and school year. The average age of the participants was 11 years, and the gender distribution was nearly equal. Original handwriting is presented as JPEG format image files and the converted annotated text as UTF-8 plain text. Metadata is contained within each text file.

Karlsruhe Children's Text 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.