Annotation Graphs, Annotation Servers and Multi-Modal Resources
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1 Annotation Graphs, Annotation Servers and Multi-Modal Resources Infrastructure for Interdisciplinary Education, Research and Development Christopher Cieri and Steven Bird University of Pennsylvania Linguistic Data Consortium {ccieri ACL - Sharing Tools & Resources Workshop Toulouse, July
2 Motivation Distribute Language Resources 190 data sets including speech, text, lexicons in 2 dozen languages >11,000 copies of datasets distributed to >1000 organizations worldwide more than twice that amount in archive Create Data Resources Collect raw broadcast news, conversations, news text Transcribe, time-stamp, annotate for topic, named entity, co-reference Publicly Funded Research Metadata for linguistic databases Infrastructure (formalism, tools) to support annotation Standards and best-practices Needs: larger volumes, more languages, more sophisticated annotation and more communities Solutions: efficient collection & annotation processes, tools & best practices, re-annotation and reuse to accommodate common needs ACL - Sharing Tools & Resources Workshop Toulouse, July
3 Common Needs Switchboard created for speaker ID and topic spotting transcribed (TI, Penn, MSU), tagged for POS, syntactic structure and disfluency (Penn), transcribed phonetically (UCLA, Berkeley), annotated for discourse function (Colorado) used in ASR, NLP, discourse analysis TDT-2 collected for story segmentation, topic detection and tracking transcribed manually and automatically, segmented at story boundaries, translated, annotated for topic relevance, entity detection and cross-reference used in Topic Detection and Tracking, Spoken Document Retrieval, Automatic Content Extraction and JHU workshops in Novel Information Detection, Mandarin English Information and Audio Visual Speech Recognition Same raw data and annotation used for very different purposes There are even more exotic examples of common needs. ACL - Sharing Tools & Resources Workshop Toulouse, July
4 Field Linguistics Tools support format consistency. Resulting data reused for MT, CL. Open source available at Source Forge We welcome participation ACL - Sharing Tools & Resources Workshop Toulouse, July
5 Source Media Authoring New set of interesting problems in markets that are quite large. ACL - Sharing Tools & Resources Workshop Toulouse, July
6 Sociolinguistics ACL - Sharing Tools & Resources Workshop Toulouse, July
7 Annotation Graphs train/dr1/fjsp0/sa1.wrd: she had your dark suit in greasy wash water all year train/dr1/fjsp0/sa1.phn: h# sh iy hv ae dcl y axr dcl d ACL - Sharing Tools & Resources Workshop Toulouse, July
8 AG as Relational Tables Time: Arc: Label: N T A X Y T A L P 1 h# P 2 sh P 3 iy P 4 hv P 5 ae P 6 dcl P 7 y P 8 axr P 9 dcl P 10 d W 18 she W 19 had W 20 your W 21 dark 22 suit ACL - Sharing Tools & Resources Workshop Toulouse, July
9 X.[].Y<timit/word; X.[:hv].[]*.[:ae].[]*.Y<-timit/ph Query Language, XML <?xml version="1.0"?> <!DOCTYPE AGSet SYSTEM "ag.dtd"> <AGSet id="timit" version="1.0" xmlns=" xmlns:xlink=" xmlns:dc=" <Timeline id="t1"> <Signal id="s1" mimeclass="audio" mimetype="wav" encoding="wav unit="16khz" xlink:href="timit/train/dr1/fjsp0/sa1.wav"/> </Timeline> <AG id="t1" type="transcription" timeline="t1"> <Anchor id="a3" offset="5200" unit="16khz"/> <Anchor id="a6" offset="9680" unit="16khz"/> <Annotation id="ann10" type="w" start="a3" end="a6"> <Feature name="label">had</feature> </Annotation> </AG></AGSet> ACL - Sharing Tools & Resources Workshop Toulouse, July
10 Annotation Server ACL - Sharing Tools & Resources Workshop Toulouse, July
11 P-S Interactions SMART paradigmatic data identifies syntagmatic data of interest PS CALLHOME paradigmatic data provides reference pronunciations for words in syntagmatic data SP Comlex Syntax paradigmatic data provides reference information for words in syntagmatic data and contains pointers to other texts SPS ACL - Sharing Tools & Resources Workshop Toulouse, July
12 DASL Challenge P file index P lexicon S P transcriptions speaker demographics selection coding analysis P coding scheme A.119 He carves out different figures in the shrubs different difrεnt 1139; Male; 50; Northern; 2 ACL - Sharing Tools & Resources Workshop Toulouse, July
13 Conclusions Demands for more data in more languages with more sophisticated annotation, in more communities lead naturally to data re-annotation and reuse. Research communities joined by their need of similar data can exist in symbiosis. However, research into best practices across research communities is required. Annotation Graph Technologies offer an efficient approach to key problems in resource development and sharing See for latest ACL - Sharing Tools & Resources Workshop Toulouse, July
Annotation Graphs and Servers and Multi-Modal Resources: Infrastructure for Interdisciplinary Education, Research and Development
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