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

Thursday, July 15, 2021

LDC July 2021 Newsletter

LDC Submissions: a new platform for sharing data through LDC 

Fall 2021 LDC Data Scholarship Program 

New Publications:
Ethnobotanical Research and Language Documentation of Nahuatl
Chinese Abstract Meaning Representation 2.0
BOLT Egyptian Arabic Co-reference – Discussion Forum, SMS/Chat, and Conversational Telephone Speech


LDC Submissions: a new platform for sharing data through LDC 
LDC is pleased to announce the launch of LDC Submissions, a platform that provides infrastructure and resources for sharing data through the Catalog. After registering for a user account, corpus submitters can create a submission, upload files, and communicate with LDC’s publications team during the review process. After all reviews are complete, the final, release-ready version of your data set is uploaded to the platform and enters the publications queue. 

Sharing your corpus through LDC ensures access to the global research community and the permanent preservation of your data according to best practices for archiving digital language resources. Get started and register for an LDC Submissions user account today.

Fall 2021 LDC Data Scholarship Program 
Student applications for the Fall 2021 LDC Data Scholarship program are being accepted now through September 15, 2021. 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 Scholarship page


New publications:
(1) Ethnobotanical Research and Language Documentation of Nahuatl consists of approximately 190 hours of field recordings collected in the Sierra Nororiental and Sierra Norte regions of Puebla, Mexico. The corpus contains audio and video recordings of native Nahuatl speakers during the collection of particular plants; partial transcripts (Nahuatl and Spanish); a Highland Puebla Nahuat dictionary; botanical and ethnobotanical data; and speaker metadata.

Nahuatl is one of the most widely spoken indigenous languages in the Americas with approximately 1.5 million speakers in Mexico. Many distinct and sometimes mutually intelligible varieties have been recognized. The recordings in this release were collected between 2008 and 2019 in two different municipalities: Cuetzalan del Progreso and Tepetzintla. Speech from Cuetzalan represents Highland Puebla Nahuat, and speech from Tepetzintla represents Zacatlán-Ahuacatlám-Tepetzintla Nahuatl.

The recordings consist of a speaker talking about a plant's nomenclature, classification, and use. Transcripts are included for the Cuetzalan recordings; these transcripts have been partially translated into Spanish. A Highland Puebla Nahuat dictionary is included in both text and Toolbox XML formats. Botanical and ethnobotanical information is presented as a collection of pdfs, and images as jpegs.

Ethnobotanical Research and Language Documentation of Nahuatl is distributed via web download.

2021 Subscription Members will automatically receive copies of this corpus provided they have submitted a completed copy of the special license agreement. 2021 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)  Chinese Abstract Meaning Representation 2.0 was developed by Brandeis University and Nanjing Normal University and is comprised of semantic representations of a set of approximately 20,000 Chinese sentences from Chinese Treebank (CTB) 8.0 (LDC2013T21). CAMR 2.0 includes the content of Chinese Abstract Meaning Representation 1.0 (LDC2019T07) (CTB 8.0 weblog and discussion forum sentences), plus an additional 9,933 sentences from the newswire portion of CTB 8.0.

Abstract Meaning Representation (AMR) captures "who is doing what to whom" in a sentence. Each sentence is paired with a graph that represents its whole sentence meaning in a tree structure. Chinese AMR is constructed following the basic principles developed for English: a compact, readable, whole-sentence semantic representation, while making adaptions where necessary to handle Chinese-specific phenomena.

The corpus contains 20,078 sentences from the weblog, discussion forum, and newswire portions of CTB 8.0. Three sets of files are included: the original Chinese AMR data with concept-to-word and relation-to-word alignments, a converted English AMR format, and a Chinese syntactic dependency tree format. Each set is divided into training, development and test sets.

Chinese Abstract Meaning Representation 2.0 is distributed via web download.

2021 Subscription Members will automatically receive copies of this corpus. 2021 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) BOLT Egyptian Arabic Co-reference – Discussion Forum, SMS/Chat, and Conversational Telephone Speech was developed by Raytheon BBN Technologies. Co-reference annotation aims to fill in the connections between specific mentions in the text that refer to the same entities and events in the discourse context. BOLT co-reference annotation was performed on BOLT treebank annotation. It covers noun phrases (including proper nouns, nominals, pronouns and null arguments), possessives, proper noun pre-modifiers, and verbs.

The source discussion forum data and SMS/Chat data was collected by LDC for the DARPA BOLT program. The telephone data was taken from LDC's Egyptian Arabic CALLHOME and CALLFRIEND telephone collections.

BOLT Egyptian Arabic Co-reference – Discussion Forum, SMS/Chat, and Conversational Telephone Speech is distributed via web download.

2021 Subscription Members will automatically receive copies of this corpus. 2021 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.


Tuesday, January 15, 2019

LDC 2019 January Newsletter

Renew Your LDC Membership Today

New publications:
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Renew Your LDC Membership Today
Join LDC while membership savings are still available. Now through March 1, 2019, all organizations receive a discount on the 2019 membership fee (up to 10%) when they choose to join the Consortium or renew their membership. This year’s planned publications include Multilanguage Conversational Telephone Speech (telephone speech in languages/dialects considered mutually intelligible or closely related), IARPA Babel Language Packs (telephone speech and transcripts in underserved languages), Chinese Abstract Meaning Representation Corpus, SRI Speech-Based Collaborative Learning Corpus, data from BOLT, HAVIC, DEFT, TAC KBP and more. Membership remains the most economical way to access LDC releases. Visit Join LDC for details on membership options and benefits.

New publications:
(1) BOLT Arabic Discussion Forum Parallel Training Data was developed by LDC and consists of 1,169,599 tokens of Egyptian Arabic discussion forum data collected for the DARPA BOLT program along with their corresponding English translations.

LDC supported the BOLT program by collecting informal data sources -- discussion forums, text messaging and chat -- in Chinese, Egyptian Arabic and English. The collected data was translated and annotated for various tasks including word alignment, treebanking, propbanking and co-reference.

The source data in this release consists of discussion forum threads harvested from the Internet by LDC using a combination of manual and automatic processes. The full source data collection is released as BOLT Arabic Discussion Forums (LDC2018T10).

Data was manually selected for translation according to several criteria, including linguistic features and topic features. The files were then segmented into sentence units, formatted into a human-readable translation format and assigned to translation vendors. Translators followed LDC's BOLT translation guidelines. Bilingual LDC staff performed quality control procedures on the completed translations.

BOLT Arabic Discussion Forum Parallel Training Data is available as a web download. 

2019 Subscription Members will automatically receive copies of this corpus. 2019 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) SRI Speech-Based Collaborative Learning Corpus was developed by SRI International and is comprised of approximately 120 hours of English speech from 134 US middle school students working collaboratively. The data set also contains orthographic transcriptions, manual annotation of collaboration, log files, and supporting documentation.

This collection was part of a project investigating the utility of a speech-based learning analytics approach to collaborative learning. The goal was to determine whether detectable patterns exist in student speech that correlate with collaborative learning indicators and to provide a means of assessing collaboration quality. The participants were students in middle schools (grades six, seven and eight) located in California. Students worked in groups of three on sets of short mathematics problems based on the "cloze" task in which each student was assigned one blank and each problem required the students to work together and talk to each other to coordinate their three answers. The problems were presented on iPads with a custom software application and the audio data was captured by both head-mounted and table-top microphones.

SRI Speech-Based Collaborative Learning Corpus is available as a web download. 

2019 Subscription Members will receive copies of this corpus provided they have submitted a completed copy of the special license agreement. 2019 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) TAC KBP Entity Discovery and Linking - Comprehensive Training and Evaluation Data 2014-2015 was developed by LDC and contains training and evaluation data produced in support of the TAC KBP Entity Discovery and Linking (EDL) tasks in 2014 and 2015. It includes queries, knowledge base (KB) links, equivalence class clusters for NIL entities, and entity type information for each of the queries. Also included in this data set are all necessary source documents as well as BaseKB - the second reference KB that was adopted for use by EDL in 2015. The first EDL reference KB to which 2014 EDL data are linked is available separately as TAC KBP Reference Knowledge Base (LDC2014T16).

The goal of the EDL track is to conduct end-to-end entity extraction, linking and clustering. For producing gold standard data, given a document collection, annotators (1) extract (identify and classify) entity mentions (queries), link them to nodes in a reference KB and (2) perform cross-document co-reference on within-document entity clusters that cannot be linked to the KB. 

Source data consists of Chinese, English and Spanish newswire and web text collected by LDC. The EDL 2014 task involved English data only. Chinese and Spanish data were added in the 2015 task. 

TAC KBP Entity Discovery and Linking - Comprehensive Training and Evaluation Data 2014-2015 is available as a web download. 

2019 Subscription Members will automatically receive copies of this corpus. 2019 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.