In this newsletter: Membership Year 2024 publication preview Fall 2023 data scholarship recipients
New publications: AIDA Scenario 1 Practice Topic Source Data<https://catalog.ldc.upenn.edu/LDC2023T11> AIDA Scenario 1 and 2 Reference Knowledge Base<https://catalog.ldc.upenn.edu/LDC2023T10> ________________________________ Membership Year 2024 publication preview The 2024 membership year is approaching and plans for next year's publications are in progress. Among the expected releases are: * KASET: 147 hours of Sorani Kurdish and Kurmanji Kurdish conversational telephone speech and web broadcasts, 65 hours transcribed * AIDA topic source data and annotations: multimodal source data and annotations in multiple languages (Russian, Ukrainian, English, Spanish) for information and entity extraction * RATS Low Speech Density Data: 87 hours of Levantine Arabic, English, Persian, Pushto, and Urdu audio files selected from RATS speech activity detection and keyword spotting data sets, also including communications systems sounds and silence * Call My Net 1: 364 hours of conversational telephone speech recordings in Tagalog, Cebuano, Cantonese, and Mandarin from speakers in the Philippines and China using various handsets under diverse noise conditions * Ravnursson Faroese Speech and Transcripts: 109 hours of read speech from 433 native speakers with transcripts * Diaspora Tibetan Speech: elicited, read, and spontaneous speech from 73 native Tibetan speakers in Katmandu's diaspora Tibetan community, some recordings transcribed * IARPA MATERIAL language packs: conversational telephone speech, transcripts, English translations, annotations, and queries in multiple languages (e.g., Bulgarian, Somali, Georgian) * LORELEI: representative and incident language packs containing monolingual text, bi-text, translations, annotations, supplemental resources, and related tools in various languages (e.g., Farsi, Hungarian, Hindi, Amharic) Check your inbox in the coming weeks for more information about membership renewal. Fall 2023 data scholarship recipients Congratulations to the recipients of LDC's Fall 2023 data scholarships: Nessma Diab: Ain-Shams University (Egypt): Pre-PhD student, Linguistics. Nessma is awarded copies of CALLHOME Egyptian Arabic Speech LDC97S45 and CALLHOME Egyptian Arabic Transcripts LDC97T10 for her work in machine translation. Soheir Elssakkout: Ain-Shams University (Egypt): PhD candidate. Soheir is awarded copies of Turkish Broadcast News and Transcripts LDC2012S06 and Middle East Technical University Turkish Microphone Speech v 1.0 LDC2006S33 for her work in speech recognition. Matheus Franco: Witten/Herdecke University (Germany): Post-doctoral scholar, Faculty of Management, Economics and Society. Matheus is awarded a copy of Avocado Research Email Collection LDC2015T03 for his work in emotional foundations of dynamic capabilities. Kamal Jarrar: Birzeit University (Palestine): Master's student, Applied Statistics and Data Science Program. Kamal is awarded copies of Arabic Gigaword Fifth Edition LDC2011T11 and BOLT Arabic Discussion Forums LDC2018T10 for his work in part-of-speech tagging for dialectal Arabic. Minkyoung Kim: Yonsei University (Korea); PhD candidate, Graduate School of Information. Minkyoung is awarded a copy of The New York Times Annotated Corpus LDC2018T19 for her work in event extraction and semantic event annotation. Humaira Mehmood: Fatima Jinnah Women University (Pakistan): Master's student, Computer Sciences. Humaira is awarded a copy of ARL Urdu Speech Database, Training Data LDC2007S03 for her work in machine translation. Diyam Mousa: Birzeit University (Palestine): PhD candidate, Computer Science Department. Diyam is awarded copies of Arabic Treebank: Part 3 v. 3.2 LDC2010T08 and BOLT Egyptian Arabic Treebank - Discussion Forum LDC2018T23 for her work in morphological tagging for dialectal Arabic. For information about the program, visit the Data Scholarships page<https://www.ldc.upenn.edu/language-resources/data/data-scholarships>. ________________________________ New publications: AIDA Scenario 1 Practice Topic Source Data<https://catalog.ldc.upenn.edu/LDC2023T11> was developed by LDC and is comprised of 1511 files (text, image, and video) from English, Russian, and Ukrainian web sources. Each phase of the AIDA program centered on a specific scenario, or broad topic area, with related subtopics designated as either practice subtopics or evaluation subtopics. The Phase 1 scenario focused on political relations between Russia and Ukraine in the 2010s. This corpus constitutes the full set of topic-focused documents for Phase 1 practice subtopics. Data was collected from web sources by a combination of automatic and manual processes. The DARPA AIDA (Active Interpretation of Disparate Alternatives) program aimed to develop a multi-hypothesis semantic engine to generate explicit alternative interpretations of events, situations, and trends from a variety of unstructured sources. LDC supported AIDA by collecting, creating and annotating multimodal linguistic resources in multiple languages. The knowledge base for entity detection and linking annotation for all AIDA Scenario 1 and 2 corpora is available separately as AIDA Scenario 1 and 2 Reference Knowledge Base (LDC2023T10)<https://catalog.ldc.upenn.edu/LDC2023T10>. 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * AIDA Scenario 1 and 2 Reference Knowledge Base<https://catalog.ldc.upenn.edu/LDC2023T10> contains the English knowledge base (KB) used for all AIDA entity linking annotation in Scenario 1 (Russia-Ukraine Relations) and Scenario 2 (Crisis in Venezuela). The KB content was drawn from GeoNames, the CIA World Leaders List, and the CIA World Factbook and was supplemented with manually-created KB entries developed by LDC specifically for AIDA data. This knowledge base supported the AIDIA entity detection and linking task for 13 entity types: GPE (Geo-Political Entity), LOC (Location), PER (Person), ORG (Organization), FAC (Facility), MHI (Medical/Health Issue), WEA (Weapon), SID (Side), COM (Commodity), CRM (Crime), LAW (Law), VEH (Vehicle), and BAL (Ballot). 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. 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