Community Interpreting Database Pilot Corpus (ComInDat)
Bibliographic record
Abstract
Audio and video recordings of various types of community interpreted discourse (doctor-patient communication, simulated doctor-patient communication, courtroom communication) in German (simulated and authentic doctor-patient communication) and US (courtroom communication) institutions with varying community languages. Video recordings only exist for the simulated communication. For the authentic interpreted doctor-patient communication, no audio files will be made available. The ComInDat pilot corpus contains sample data from three different projects: the DiK corpus of Portuguese/German and Turkish/German interpreted doctor-patient communication in hospitals (Bührig & Meyer 2004), he IiSCC-corpus, a corpus of interpreted court proceedings in different language constellations (Spanish/English, Russian/English, Haitian Creole/English and Polish/English) (Angermeyer 2006), a corpus of simulated interpreted doctor-patient interactions in different language constellations (Russian/German, Polish/German and Romanian/German) from a training seminar for bilingual nursing staff ("SimDiK", Bührig, Kliche, Meyer & Pawlack 2012). More information about the background of the corpus and the details of its design can be found in (Angermeyer, Meyer & Schmidt 2012). For more information about the project, please contact Philipp Angermeyer. Angermeyer, P., Meyer, B. and Schmidt, T. (2012). Sharing Community Interpreting Corpora: A pilot study. In: Schmidt, T. and Wörner, K. (eds.) Multilingual Corpora and Multilingual Corpus Analysis. Amsterdam: Benjamins, 275-294. <strong>CLARIN Metadata summary for Community Interpreting Database Pilot Corpus (ComInDat) (CMDI-based)</strong> <strong>Title: </strong>Community Interpreting Database Pilot Corpus (ComInDat)<br> <strong>Description: </strong>Audio and video recordings of various types of community interpreted discourse (doctor-patient communication, simulated doctor-patient communication, courtroom communication) in German (simulated and authentic doctor-patient communication) and US (courtroom communication) institutions with varying community languages. Video recordings only exist for the simulated communication. For the authentic interpreted doctor-patient communication, no audio files will be made available.<br> <strong>Publication date: </strong>2013-06-10<br> <strong>Data owner: </strong> Philipp Angermeyer, Department of Languages, Literatures and Linguistics / York University / 4700 Keele Street / Canada M3J 1P3, pangerme@yorku.ca, Kristin Bührig, Institut für Germanistik I / Von-Melle-Park 6 / D-20146 Hamburg, kristin.buehrig@uni-hamburg.de, Bernd Meyer, Arbeitsbereich Interkulturelle Kommunikation / Fachbereich 06: Translations-, Sprach- und Kulturwissenschaft / Johannes Gutenberg-Universität Mainz / An der Hochschule 2 / D-76726 Germersheim, meyerb@uni-mainz.de<br> <strong>Contributors: </strong> Philipp Angermeyer, Department of Languages, Literatures and Linguistics / York University / 4700 Keele Street / Canada M3J 1P3, pangerme@yorku.ca (compiler), Kristin Bührig, Institut für Germanistik I / Von-Melle-Park 6 / D-20146 Hamburg, kristin.buehrig@uni-hamburg.de (compiler), Bernd Meyer, Arbeitsbereich Interkulturelle Kommunikation / Fachbereich 06: Translations-, Sprach- und Kulturwissenschaft / Johannes Gutenberg-Universität Mainz / An der Hochschule 2 / D-76726 Germersheim, meyerb@uni-mainz.de (compiler)<br> <strong>Project: </strong> The Integration of Text, Sound, and Image into the Corpus-Based Analysis of Interpreter-Mediated Interaction<br> <strong>Keywords: </strong> community interpreting, doctor-patient communication, courtroom communication, EXMARaLDA<br> <strong>Languages: </strong> German (deu), English (eng), Spanish (spa), Turkish (tur), Polish (pol), Portuguese (por), Romanian (ron), Russian (rus), Haitian (hat)<br> <strong>Size: </strong> 54 speakers (35 female, 16 male, 3 unknown), 14 communications, 12 recordings, 83 minutes, 17 transcriptions, 35051 words<br> <strong>Annotation types: </strong> transcription (manual): HIAT/CHAT, deu: German translation, eng: English translation, k: free comment, lang: utterance language, sup: suprasegmental information, trans: utterance translation status, akz: accentuation/stress, pol: Polish translation<br> <strong>Temporal Coverage: </strong> 1999-07-01/2010-03-09<br> <strong>Spatial Coverage: </strong> Hamburg, DE; New York, US; Neumünster, DE<br> <strong>Genre: </strong> discourse<br> <strong>Modality: </strong> spoken<br> <strong>References: </strong> Angermeyer, P., Meyer, B. and Schmidt, T. (2012). Sharing Community Interpreting Corpora: A pilot study. In: Schmidt, T. and Wörner, K. (eds.) Multilingual Corpora and Multilingual Corpus Analysis. Amsterdam: Benjamins, 275-294.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".