Multi-channel, Multi-language CTS for Speaker ID: RATS Speaker Identification [1]: 1,900 hours of Levantine Arabic, Farsi, Dari, Pashto and Urdu conversational telephone speech retransmitted over eight channels (17k total hours) with speech segment annotations, developed by LDC for DARPA’s RATS program

100 Million Word Arabic Dictionary: Classical Arabic Dictionary [2]: from texts dating between 431 and 1104 CE, principally books and essays, along with word occurrences, source documents and related metadata

Alignments for Discourse Relations: DiscAlign for Penn and RST Discourse Treebanks [3]: developed by Saarland University, 6,700 alignments for discourse annotations in Penn Discourse Treebank Version 2.0 (LDC2008T05)  [4]and RST Discourse Treebank (LDC2002T07) [5], available to all PDTB 2.0 and RST-DT licensees

Spanish Read Speech, Transcripts: Wikipedia Spanish Speech and Transcripts [6]: 25 hours of speech from 193 speakers reading Wikipedia articles, with transcripts and speaker metadata

Egyptian Arabic-English Parallel SMS/Chat: BOLT Egyptian Arabic SMS/Chat Parallel Training Data [7]: 723,000 tokens of Egyptian Arabic SMS/Chat data with English translations, developed by LDC for DARPA’s BOLT program

Nahuatl Field Collections and Related Resources: Ethnobotanical Research and Language Documentation of Nahuatl [8]: 190 hours of field recordings conducted in the Sierra Nororiental and Sierra Norte regions of Puebla, Mexico; 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

New Chinese AMR Release: Chinese Abstract Meaning Representation 2.0 [9]: developed by Brandeis University and Nanjing Normal University, a cumulative release of semantic representations for 20k Chinese sentences from Chinese Treebank 8.0 (LDC2013T21) [10]; includes the original Chinese AMR data, a converted English AMR format & a Chinese syntactic dependency tree format each divided into training, development and test sets

Co-reference Annotation on Egyptian-Arabic Informal Text: BOLT Egyptian Arabic Co-reference – Discussion Forum, SMS/Chat, and Conversational Telephone Speech [11]: developed by Raytheon BBN Technologies, co-reference annotation performed on BOLT treebank annotation covering noun phrases (including proper nouns, nominals, pronouns and null arguments), possessives, proper noun pre-modifiers and verbs