Showing posts with label Ancient Chinese. Show all posts
Showing posts with label Ancient Chinese. Show all posts

Thursday, March 19, 2026

LDC March 2026 Newsletter

LDC data and commercial technology development 

New publications:

Ancient Chinese WordNet

CALLHOME Spanish Second Edition

CALLHOME Spanish Lexicon Second Edition

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LDC data and commercial technology development

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 the Licensing page for further information.

New publications:

Ancient Chinese WordNet was developed by Nanjing Normal University and contains lexical and semantic information for Ancient Chinese vocabulary from the Pre-Qin period (before 221 BCE). The WordNet comprises 38,781 word forms and 55,100 senses, each manually linked to a corresponding synset in Princeton WordNet 1.6 and covering 22 noun categories, 15 verb categories, and additional adjective and adverb categories. The Ancient Chinese WordNet project began in 2012 with the goal of creating a structured lexical database to support linguistic research and natural language processing applications involving historical Chinese language materials.

2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.

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CALLHOME Spanish Second Edition was developed by LDC and contains 38 hours of speech from 120 unscripted telephone conversations between native Spanish speakers. This publication is a re-release of the original CALLHOME Spanish collection, combining CALLHOME Spanish Speech (LDC96S35) and CALLHOME Spanish Transcripts (LDC96T17), with additional transcription and updated directory structure, file formats, and documentation.

This corpus contains the 120 calls from CALLHOME Spanish Speech which represented training and development data and a subset of evaluation data. Participants spoke on topics of their choice in a single telephone call lasting up to 30 minutes. Calls were manually audited for language, recording quality, channel characteristics, dialect, and region. For this second edition, all audio was converted from SPHERE files to FLAC format, and the original training/development/test partitioning was removed. 

This release also features revised transcripts conforming to updated LDC transcription guidelines that addressed normalization of annotation formats, standardization of speaker-produced and background noises, application of foreign-language marking, whitespace cleanup, and corrections and consistency fixes.

The CALLHOME series consists of telephone conversations and transcripts developed by LDC and Rutgers, The State University of New Jersey, in support of research in speaker identification, language identification and related technologies. Languages in the series include American English, Egyptian Arabic, German, Japanese, Mandarin Chinese, and Spanish.

2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.

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CALLHOME Spanish Lexicon Second Edition was developed by LDC and contains 45,547 Spanish words with morphological, phonological, stress and frequency information. This second edition updates file formats, directory structure and documentation. The first edition is available as CALLHOME Spanish Lexicon (LDC96L16). The words in the lexicon were derived from 80 transcripts representing unscripted telephone conversations between native Spanish speakers contained in CALLHOME Spanish Second Edition LDC2026S04 and from various Spanish news texts.

The lexicon contains nine tab-separated information fields: (1) headword: orthographic form; (2) morph: morphological analysis of the headword; (3) pron: pronunciation of the headword; (4) stress: primary stress information of the word; (5) callh freq: frequency of the headword in CALLHOME transcripts; (6) madrid freq: frequency of the headword in Madrid Radio transcripts; (7) ap freq: frequency of the headword in Associated Press newswire; (8) reut freq: frequency of the headword in Reuters newswire; and (9) norte freq: frequency of the headword in El Norte newswire.

This release also includes a pronunciation dictionary derived from the lexicon in CMUdict format and the grapheme-to-phoneme (G2P) tools used to automatically generate pronunciations for the original lexicon.

2026 members can access this corpus through their LDC accounts provided they have submitted a completed copy of the special license agreement. Non-members may license this data for a fee.

Wednesday, October 18, 2017

LDC October 2017 Newsletter

LDC Awards Fall Data Scholarships

Membership Year 2018 Publication Preview

New Publications:RATS Keyword Spotting
MWE-Aware English Dependency Corpus Version 2.0 _________________________________________________________________________

LDC Awards Fall Data Scholarships
LDC is pleased to award fifteen data scholarships to students this fall. Recipients are from eight countries and a variety of academic disciplines. Twenty unique data sets are awarded to the students for their work in diverse applications including machine translation, abstractive text summarization using recurrent neural networks, speech recognition for multiple languages, semantic role labeling for social data, text summarization, speaker recognition for forensic applications, and more. Please look to LDC’s social media pages for upcoming announcements highlighting each recipient and their intended research.  Congratulations to all of our recipients! 

Membership Year 2018 Publication Preview
The 2018 Membership Year is just around the corner and plans for next year’s publications are in progress. Among the expected releases are:
  • Multilanguage conversational telephone speech: developed to support language identification research in related languages (Central Asian, Central European language groups)
  • DIRHA (Distant-speech Interaction for Robust Home Applications): Wall Street Journal read speech with noise and reverberation, suitable for various multi-microphone signal processing and distant speech recognition tasks
  • TRAD corpora: Chinese-French and Arabic-French parallel text (newswire, web data)
  • IARPA Babel Language Packs (telephone speech and transcripts): languages include Cebuano, Guarani, Kazakh, Lithuanian, Telugu, Tok Pisin
  • BOLT: discussion forum, SMS, word-aligned, and tagged data in all languages (Egyptian Arabic, English, Chinese)
  • DEFT: Spanish Treebank (newswire, web data)
  • RATS Language Identification data set  (Dari, Farsi, Levantine Arabic, Pashto, Urdu; degraded audio signals)
  • TAC KBP: comprehensive English source and entity linked data (broadcast, telephone speech, newswire, web data)
  • German children’s handwriting (longitudinal study of weekly writing in classroom setting with enhanced output for specific spelling patterns)
Check your inbox in the coming weeks for more information about membership renewal.



New publications:

(1) RATS Keyword Spotting was developed by  LDC and is comprised of approximately 3,100 hours of Levantine Arabic and Farsi conversational telephone speech with automatic and manual annotation of speech segments, transcripts, and keywords generated from transcript content. The corpus was created to provide training, development, and initial test sets for the keyword spotting (KWS) task in the DARPA RATS (Robust Automatic Transcription of Speech) program.

The source audio consists of conversational telephone speech recordings collected by LDC: (1) data collected for the RATS program from Levantine Arabic and Farsi speakers; and (2) material from Levantine Arabic QT Training Data Set 5, Speech (LDC2006S29) and CALLFRIEND Farsi Second Edition Speech (LDC2014S01). Transcripts of calls were either produced or available from the source corpora. Potential target keywords were selected from the transcripts based on word frequencies to fall within a range of target-word likelihood per hour of speech. The selected words were manually reviewed to confirm that each was a regular or multi-word expression of more than three syllables.

RATS Keyword Spotting is distributed via hard drive.

2017 Subscription Members will receive copies of this corpus. 2017 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) English Web Treebank Propbank was developed by  University of Colorado Boulder - CLEAR (Computational Language and Education Research) and provides predicate-argument structure annotation for English Web Treebank (LDC2012T13).

The goal of Propbank (or proposition bank) annotation is to develop annotations with information about basic semantic propositions. English Web Treebank Propbank provides semantic role annotation and predicate sense disambiguation for roughly 50,000 predicates, corresponding to all verbs, all adjectives in equational clauses, and all nouns considered to be predicative. Mark-up is in the "unified" propbank annotation format, which combines representations in nouns, verbs, and adjectives. The source data consists of weblogs, newsgroups, email, reviews, and questions-answers.

English Web Treebank Propbank is distributed via Web Download.

2017 Subscription Members will receive copies of this corpus. 2017 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)  Ancient Chinese Corpus was developed at Nanjing Normal University. It contains word-segmented and part-of-speech tagged text from Zuozhuan, an ancient Chinese work believed to date from the Warring States Period (475-221 BC). This release is part of a continuing project to develop a large, part-of-speech tagged ancient Chinese corpus. It consists of 180,000 Chinese characters and 195,000 segment units (including words and punctuation). The part-of-speech tag set was developed by Nanjing Normal University and contains 17 tags. The files are presented in UTF-8 plain text files using traditional Chinese script.

Ancient Chinese Corpus is distributed via web download.

2017 Subscription Members will receive copies of this corpus. 2017 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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(4) MWE-Aware English Dependency Corpus Version 2.0 was developed by the Nara Institute of Science and Technology Computational Linguistics Laboratory and consists of English compound function words annotated in dependency format. The data is derived from OntoNotes Release 5.0 (LDC2013T19).

Version 2.0 adds annotations of named entities (persons, locations, organizations) into dependency trees that are aware of compound function words. Version 1.0 is available from LDC as MWE-Aware English Dependency Corpus (LDC2017T01).

MWEs (multiword expressions) were identified in OntoNotes' phrase structure trees and each MWE was established as a single subtree. Those phrase structure subtrees were then converted to a dependency structure (the Stanford dependencies) in CoNLL format. The data is split into 1,728 phrase structure trees as *.parse files and a single 14-column tab separated dependency as a *.conll file. Both file types are encoded as UTF-8.

MWE-Aware English Dependency Corpus Version 2.0 is distributed via web download.

2017 Subscription Members will receive copies of this corpus. 2017 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.