BOLT Chinese-English Word Alignment and Tagging -- Conversational Telephone Speech Training

Introduction BOLT Chinese-English Word Alignment and Tagging -- Conversational Telephone Speech Training was developed by LDC and consists of 158,651 words of Chinese and English parallel text enhanced with linguistic tags to indicate word relations. The DARPA BOLT (Broad Operational Language Translation) program developed machine translation and information retrieval for less formal genres, focusing particularly on user-generated content. 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. Data The source data in this release consists of transcripts of Chinese conversational telephone speech (CTS) from LDC's CALLHOME and CALLFRIEND collections (LDC96S34, LDC96T16, LDC96S55) that were translated into English by professional translation agencies and annotated for the word alignment task. The BOLT word alignment task was built on treebank annotation. Specifically, LDC automatically extracted Chinese source tokens, including empty categories/traces, from word-segmented files provided by the BOLT Chinese Treebank annotation team at Brandeis University. The word-segmented tokens were then used to automatically generate ctb (Chinese Treebank) alignment and were also tokenized for character alignment by inserting white spaces to separate characters. The data profile broken down by character tokens, ctb tokens and segments appears below: Language Genre Files Words CharTokens CTBTokens Segments Chinese CTS 23 158,651 237,977 189,244 20,195 Acknowledgement This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR0011-11-C-0145. The content does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred. Samples Please view the following samples: Chinese Character Tokenized Chinese CTB-Based Tokenized English Tokenized Character-Based Word Alignment CTB-Based Word Alignment Updates None at this time.