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. CLARIN Metadata summary for Community Interpreting Database Pilot Corpus (ComInDat) (CMDI-based) Title: Community Interpreting Database Pilot Corpus (ComInDat) Description: 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. Publication date: 2013-06-10 Data owner: 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 Contributors: 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) Project: The Integration of Text, Sound, and Image into the Corpus-Based Analysis of Interpreter-Mediated Interaction Keywords: community interpreting, doctor-patient communication, courtroom communication, EXMARaLDA Languages: German (deu), English (eng), Spanish (spa), Turkish (tur), Polish (pol), Portuguese (por), Romanian (ron), Russian (rus), Haitian (hat) Size: 54 speakers (35 female, 16 male, 3 unknown), 14 communications, 12 recordings, 83 minutes, 17 transcriptions, 35051 words Annotation types: 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 Temporal Coverage: 1999-07-01/2010-03-09 Spatial Coverage: Hamburg, DE; New York, US; Neumünster, DE Genre: discourse Modality: spoken References: 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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.087 | 0.050 |
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 source (direct Gemma or distilled Codex), 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".