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

Sunday, July 17, 2022

LDC July 2022 Newsletter

Fall 2022 LDC Data Scholarship Program

30th Anniversary Highlight: ATIS0 Complete 

New publications:

Qatari Corpus of Argumentative Writing

Second DIHARD Challenge Evaluation - SEEDLingS

 

 

Fall 2022 LDC Data Scholarship Program 

Student applications for the Fall 2022 LDC Data Scholarship program are being accepted now through September 15, 2022. This program provides eligible students with no-cost access to LDC data. Students must complete an application consisting of a data use proposal and letter of support from their advisor. For application requirements and program rules, visit the LDC Data Scholarships page

30th Anniversary Highlight: ATIS0 Complete 

The ATIS corpora were among the first publications that appeared with the launch of LDC’s catalog in 1993. ATIS0 Complete (LDC93S4A) is comprised of spontaneous speech, read speech and other material from participants in the ATIS collection that is contained in ATIS0 Pilot (LDC93S4B), ATIS0 Read (LDC93S4B-2) and ATIS0 SD-Read (LDC93S4B-3).

The ATIS (Air Travel Information Services) collection was developed to support the research and development of speech understanding systems. Participants were presented with various hypothetical travel planning scenarios and asked to solve them by interacting with partially or completely automated ATIS systems. The resulting utterances were recorded and transcribed. Data was collected in the early 1990s at five US sites: Raytheon BBN, Carnegie Mellon University, MIT Laboratory for Computer Science, National Institute for Standards and Technology and SRI International.

The ATIS collection has been widely used to further research in spoken language understanding and slot filling (Kuo et al., 2020). Other data sets published from the collection include ATIS2 (LDC93S5), ATIS3 Training and Test Data (LDC94S19, LDC95S26) and, more recently, Multilingual ATIS (LDC2019T04) and ATIS - Seven Languages (LDC2021T04).

All ATIS corpora are available for licensing by Consortium members and non-members. Visit Obtaining Data for more information.

New publications:

(1) Qatari Corpus of Argumentative Writing  was developed by Qatar UniversityUniversity of Exeter and Hamad Bin Khalifa University and is comprised of approximately 200,000 tokens of Arabic and English writing by undergraduate students (159 female, 36 male) along with annotations and related metadata. Students were native Arabic speakers and fluent in English; each student wrote one Arabic and one English essay in response to specific argumentative prompts. They were instructed to include in their essays a clear thesis statement supported by relevant evidence.
 
The corpus is divided into Arabic and English parts, each of which contains 195 essays. Metadata includes information about the students (gender, major, first language, second language) and information about the essay texts (serial numbers of texts, word limits, genre, date of writing, time spent on writing, place of writing).

Qatari Corpus of Argumentative Writing is distributed via web download.  

2022 Subscription Members will automatically receive copies of this corpus. 2022 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.

* 

(2) Second DIHARD Challenge Evaluation - SEEDLingS was developed by Duke University and LDC and contains approximately two hours of English child language recordings along with corresponding annotations used in support of the Second DIHARD Challenge.
 
Source data is from the SEEDLingS (The Study of Environmental Effects on Developing Linguistic Skills) corpus, designed to investigate how infants' early linguistic and environmental input plays a role in their learning. Recordings were generated in the home environment of infants in the Rochester, New York area. A subset of that data was annotated by LDC for use in the First and Second DIHARD Challenges.

Second DIHARD Challenge Evaluation - SEEDLingS is distributed via web download.

2022 Subscription Members will automatically receive copies of this corpus provided they have submitted a completed copy of the special license agreement. 2022 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee. 

Thursday, March 15, 2018

LDC March 2018 Newsletter


New Publications:
______________________________________________________________________

New publications:

(1) BOLT Arabic Discussion Forums was developed by LDC and consists of 813,080 discussion forum threads in Egyptian Arabic harvested from the Internet using a combination of manual and automatic processes. The DARPA BOLT (Broad Operational Language Translation) program developed machine translation and information retrieval for less formal genres, focusing particularly on user-generated content. The material in this release represents the unannotated Arabic source data in the discussion forum genre.

Collection was seeded based on the results of manual data scouting by native speaker annotators. Scouts were instructed to seek content in Egyptian Arabic that was original, interactive and informal. Upon locating an appropriate thread, scouts submitted the URL and some simple judgments about it to a database, via a web browser plug-in. The scale of the collection precluded manual review of all data. Only a small portion of the threads included in this release were manually reviewed, and it is expected that there may be some offensive or otherwise undesired content as well as some threads that contain a large amount of non-Arabic content. It should also be noted that many threads may contain a mixture of Egyptian and other varieties of Arabic, even among the threads that are primarily Arabic.

BOLT Arabic Discussion Forums is distributed via web download.

2018 Subscription Members will receive copies of this corpus. 2018 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee. 
*

(2) LORELEI Somali Representative Language Pack - Monolingual and Parallel Text was developed by LDC and is comprised of approximately 13 million words of monolingual Somali text, approximately 800,000 of which are translated into English. Another 100,000 words are also translated from English into Somali. The LORELEI (Low Resource Languages for Emergent Incidents) Program is concerned with building Human Language Technology for low resource languages in the context of emergent situations like natural disasters or disease outbreaks.

Data was collected in the following genres: discussion forums, news, reference, social network and weblog. Both monolingual text collection and parallel text creation involved a combination of manual and automatic methods, which are detailed in the included documentation. All harvested content was initially converted from its original HTML form into a relatively uniform XML format. Also included in this release are two tools: one to recreate original source data from the processed XML material and the other to condition text data users download from Twitter.

LORELEI Somali Representative Language Pack - Monolingual and Parallel Text is distributed via web download.

2018 Subscription Members will receive copies of this corpus. 2018 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.
 *

(3) SPADE (Syntactic Phrase Alignment Dataset for Evaluation) consists of annotated parse trees and alignment on English sentential paraphrases extracted from machine translation evaluation corpora and separated into development and test sets.

Reference translations from machine translation evaluation corpora were used as sentential paraphrases. They were sourced from the following data sets released by LDC from the NIST (National Institute of Standards and Technology) open machine translation evaluation series (OpenMT): LDC2010T14, LDC2010T17, LDC2010T21, and LDC2013T03.

Reference translations of 10 to 30 words were randomly extracted for annotation from NIST OpenMT corpora. Gold standard annotations of HPSG (head-driven phrase structure grammar) trees and phrase alignments were performed, resulting in 20,276 phrases extracted from 201 sentential paraphrases and 15,721 paraphrase alignments.

SPADE is distributed via web download.

2018 Subscription Members will receive copies of this corpus. 2018 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.

Thursday, June 16, 2016

LDC June 2016 Newsletter

Commercial use and LDC data

New publications:
_______________________________________________________________
Commercial use and LDC data
For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit our Licensing page for more information.

New Corpora

(1) Chinese Treebank 9.0 consists of approximately two million words of annotated and parsed text from Chinese newswire, government documents, magazine articles, various broadcast news and broadcast conversation programs, web newsgroups, weblogs, discussion forums, chat messages and transcribed conversational telephone speech. This new data set in the Chinese Treebank series adds more annotated web data and two new genres – chat messages and transcribed telephone speech.

There are 3,726 text files in this release, containing 132,076 sentences, 2,084,387 words, 3,247,331 characters (hanzi or foreign). The data is provided in the UTF-8 encoding, and the annotation has Penn Treebank-style labeled brackets. The data is provided in four different formats: raw text, word segmented, POS-tagged, and syntactically bracketed formats. All files were automatically verified and manually checked.

Chinese Treebank 9.0 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.

*

(2) CHM150 (Corpus Hecho en México 150) was developed by the Speech Processing Laboratory of the Faculty of Engineering at the National Autonomous University of Mexico (UNAM) and consists of approximately 1.63 hours of Mexican Spanish speech, associated transcripts, and speaker metadata. The goal of this work was to support spoken term detection and forensic speaker identification.

This corpus is comprised of Mexican Spanish microphone speech from 75 male speakers and 75 female speakers in a quiet office environment. Speakers could answer pre-selected open questions or describe a particular painting shown to them on a computer monitor. Speaker metadata in this release includes age, gender, place of birth, place of residence and parents' nationalities.

CHM150 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. This data is being made available at no-cost for non-member organizations under a research license.

*

(3) GALE Phase 4 Arabic Weblog 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 Modern Standard Arabic source text and corresponding English translations, selected from newsgroup and weblog data collected by LDC and translated by LDC or under its direction.

The data includes 1,067 source-translation document pairs, comprising 68,346 words (Arabic source) of translated data. 

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.

GALE Phase 4 Arabic Weblog Parallel Sentences 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.

Thursday, January 21, 2016

LDC 2016 January Newsletter

CFP for LREC 2016 Novel Incentives Workshop

LDC Membership Discounts for MY 2016 Still Available

New publications:
______________________________________________________________

CFP for LREC 2016 Novel Incentives Workshop
The first workshop on novel incentives in linguistic data collection will take place on May 28, 2016 in conjunction with the Tenth International Conference on Language Resources and Evaluation (LREC2016) in Portoroz, Slovenia.

Novel Incentives for Collecting Linguistic Data and Annotation from People: types, implementation, tasking requirements, workflow and results, opens the discussion on incentives in data collection describing novel approaches and comparing traditional monetary incentives.

The workshop is accepting papers through February 6, 2016. For more information visit the workshop webpage.


LDC Membership Discounts for MY 2016 Still Available
If you are considering joining LDC for Membership Year 2016 (MY2016), there is still time to save on membership fees.  Any organization which joins or renews membership for 2016 through March 1, 2016, is entitled to a 5% discount on membership fees.  Organizations which held membership for MY2015 can receive a 10% discount on fees provided they renew prior to March 1, 2016. Publications planned for release in 2016 include multilingual language packs, BOLT discussion forum and DEFT narrative text corpora, HAVIC video clips and transcripts and the latest Arabic and Chinese treebanks.

New publications
(1) Arabic Treebank - Weblog was developed by LDC and consists of Arabic weblog data with part-of-speech, morphology, gloss and syntactic tree annotation.

The ongoing Penn Arabic Treebank Project (PATB) supports research in Arabic-language natural language processing and human language technology development. Generally, the PATB consists of two distinct phases: (a) part-of-speech (POS) tagging, which divides the text into lexical tokens and gives relevant information about each token such as lexical category, inflectional features, and a gloss (referred to as POS for convenience, although it includes morphological and gloss information not traditionally included with part-of-speech annotation), and (b) Arabic treebanking, which characterizes the constituent structures of word sequences, provides categories for each non-terminal node, and identifies null elements, co-reference, traces and so on.

The data contains 243,117 source tokens before clitics were split, and 308,996 tree tokens after clitics were separated for treebank annotation. The source material is weblogs collected by LDC from various sources.

Arabic Treebank - Weblog 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.

*
(2) NewSoMe Corpus of Opinion in Blogs was compiled at Barcelona Media and consists of English and Spanish blogs 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.

LDC has also released NewSoMe Corpus of Opinion in News Reports (LDC2015T17).

The data consists of 108 English documents and 191 Spanish documents. 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 Blogs 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.

*
(3) GALE Phase 4 Chinese Weblog 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 newsgroup and weblog data collected by LDC and translated by LDC or under its direction.

GALE Phase 4 Chinese Weblog Parallel Sentences includes 231 source-translation document pairs, comprising 92,501 tokens of Chinese source text and its English translation.

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.


GALE Phase 4 Chinese Weblog Parallel Sentences 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. 

Tuesday, November 17, 2015

LDC 2015 November Newsletter

Invitation to Join for Membership Year (MY) 2016

Commercial use and LDC data

Spring 2016 Data Scholarship Program

LDC closed for Thanksgiving Break

New publications:

Invitation to Join for Membership Year (MY) 2016

Membership Year (MY) 2016 is open for joining.  We would like to invite all current and previous members of LDC to renew their membership as well as welcome new organizations to join the Consortium.  For MY2016, LDC is pleased to maintain membership fees at last year’s rates – membership fees will not increase.  Additionally, LDC will extend discounts on membership fees to members who keep their membership current and who join early in the year.

The details of our early renewal discounts for MY2015 are as follows: 
  • Organizations who joined for MY2015 will receive a 10% discount when renewing before March 1, 2016. After March 1, 2016, MY2015 members are eligible for a 5% discount when renewing through the end of the year.
  • New members as well as organizations who did not join for MY2015, but who held membership in any of the previous MYs (1993-2014), will also be eligible for a 5% discount provided that they join/renew before March 1, 2016.

Publications for MY2016 are still being planned but we plan to release the following:
  • Arabic Treebank - Weblog ~ part-of-speech/morphological annotation and syntactic tree annotation of web text from various sources
  • BOLT ~ all phases, languages, genres, tasks
  • DEFT ~ Spanish and Chinese resources
  • Digital Archive of Southern Speech - NLP Version ~ colloquial speech in the Southern United States; NLP version normalizes filenames and formats
  • GALE Phase 3 and 4 data ~ all tasks and languages    
  • HAVIC ~ amateur video and transcripts
  • NewSoMe Corpus of Opinion in Blogs ~ opinion annotated English and Spanish blogs


Commercial use and LDC data
For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases.  Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose.  LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit our Licensing page for further information.
Spring 2016 Data Scholarship Program
Applications are now being accepted through Friday, January 15, 2016 for the Spring 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 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.

(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 nonmember fee for the data or to join the Consortium.

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 Scholarship program. Decisions will be sent by email from the same address.

The deadline for the Spring 2016 program cycle is January 15, 2016.

LDC closed for Thanksgiving Break

LDC will be closed on Thursday, November 26, 2015 and Friday, November 27, 2015 in observance of the US Thanksgiving Holiday.  Our offices will reopen on Monday, November 30, 2015.

New publications
(1) Articulation Index LSCP was developed by researchers at Laboratoire de Sciences Cognitives et Psycholinguistique (LSCP), Ecole Normale Supérieure. It revises and enhances a subset of Articulation Index (AIC) (LDC2005S22), a corpus of persons speaking English syllables. Changes include the addition of forced alignment to sound files, time alignment of syllable utterances and format conversions. AIC consists of 20 American English speakers (12 males, 8 females) pronouncing syllables, some of which form actual words, but most of which are nonsense syllables. All possible Consonant-Vowel (CV) and Vowel-Consonant (VC) combinations were recorded for each speaker twice, once in isolation and once within a carrier-sentence, for a total of 25768 recorded syllables.
Articulation Index LSCP alters AIC in the following ways.
  1. Time-alignments for the onset and offset of each word and syllable were generated through forced-alignment with a standard HMM-GMM (Hidden Markov Model-Gaussian Mixture Model) ASR system.
  2. The time-alignments for the beginning and end of the syllables (whether in isolation or within a carrier sentence) were manually adjusted. The time-alignments for the other words in carrier sentences were not manually adjusted
  3. The recordings of isolated syllables were cut according to the manual time-alignments to remove the silent portions at the beginning and end, and the time-alignments were altered to correspond to the cut recordings
  4. The file naming scheme was slightly altered for compatibility with the Kaldi speech recognition toolkit.de
  5. AIC contains a wide-band (16 KHz, 16-bit PCM) and a narrow-band (8 KHz, 8 bit u-law) version of the recordings distributed in sphere format. The LSCP version contains the wide-band version only distributed as wave files.
Articulation Index LSCP 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) GALE Phase 4 Chinese Newswire 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 newswire data collected by LDC in 2008 and translated by LDC or under its direction.

GALE Phase 4 Chinese Newswire Parallel Sentences includes 627 source-translation document pairs, comprising 90,434 tokens of Chinese source text and its English translation. Data is drawn from six distinct Chinese newswire sources.

Sentences were selected for translation in two steps. First, files were chosen using sentence selection scripts.  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.

GALE Phase 4 Chinese Newswire 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.

*
(3) KHATT: Handwritten Arabic Text was developed by King Fahd University of Petroleum & Minerals, Technical University of Dortmund and Braunschweig University of Technology. It is comprised of scanned Arabic handwriting from 1,000 distinct male and female writers representing diverse countries, age groups, handedness and education levels. Participants produced text on a topic of their choice in an unrestricted style. KHATT was designed to promote research in areas such as text recognition and writer identification.

The majority of participants were natives of Saudi Arabia; the next largest group was from a collection of regional countries (Egypt, Jordan, Kuwait, Morocco, Palestine, Tunisia and Yemen). Most writers were between 16-25 years of age with high school or university qualifications.

KHATT: Handwritten Arabic Text is distributed on one USB drive.

2015 Subscription Members will automatically receive a copy 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.