Automatic Coherence Analysis of Dutch Discourse with ACAD
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This document describes ACAD, an automatic coherence analysis tool for Dutch texts. ACAD allows users to formulate sophisticated search queries across multiple Dutch corpora to analyze coherence relations and connectives. It aims to make analyses more reproducible and transparent. ACAD's search interface Cesar translates queries into XQuery and controls output. It can search corpora like SoNaR and formats like Folia. ACAD's goals are to build this search interface and extend available corpora like newspaper texts and WhatsApp data. Future work includes manuals, investigating other connectives, constructions, and languages. Resulting annotated corpora will be released.
![Coherence relations in discourse
A CR consists of two discourse segments and, optionally, a connective
[S1 The temperature rose] [connective because] [S2 the sun was shining]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Automatic Coherence Analysis of Dutch Discourse with ACAD
- 1. Automatic Coherence Analysis of Dutch Henk van den Heuvel Jet Hoek, Micha Hulsbosch, Erwin Komen, Ted Sanders, Wilbert Spooren Student assistants: Iris Hofstra, Patrick Sonsma
- 2. Coherence relations in discourse A CR consists of two discourse segments and, optionally, a connective [S1 The temperature rose] [connective because] [S2 the sun was shining]
- 3. Common research questions wrt coherence relations and connectives
- 4. The advantage of using automatic analyses • Less dependent on manual analyses - higher reliability - larger samples - larger number of genres ACAD: Automatic Coherence Analysis of Dutch
- 5. Goals of ACAD • Build a search interface, on the basis of existing Clariah components - corpora like SoNaR, VU-DNC, CGN - parsers like Alpino - formats like Folia - search facilities like CorpusStudio • Make it possible to formulate sophisticated search queries for computationally uninitiated discourse analysts - translated into XQuery in the backend • Make analyses reproduceable (and consequently more transparent) • Extend the available corpora - newspaper texts (NRC and NRC.nl) from different genres (hard news, opinion, background stories) on related topics - WhatsAppdata of different age groups (13/14, 20-25) ACAD: Automatic Coherence Analysis of Dutch
- 6. ACAD: Automatic Coherence Analysis of Dutch The search interface: Cesar
- 7. ACAD: Automatic Coherence Analysis of Dutch How does it work?
- 8. ACAD: Automatic Coherence Analysis of Dutch Editing the search: specification of variables
- 9. ACAD: Automatic Coherence Analysis of Dutch Controling the output
- 10. ACAD: Automatic Coherence Analysis of Dutch Carrying out the search: choose the corpus
- 11. ACAD: Automatic Coherence Analysis of Dutch Results
- 12. ACAD: where do we go from here? • Need for manuals to instruct the computationally uninitiated discourse analyst • The potential of ACAD - investigate other connectives (contrastive, conditional, additive) - investigate other issues, e.g., - prototypical positioning of various connectives (i.e., before both segments or between the two segments) - what omdat-segments have Verb-second? - investigate constructions rather than words - investigate other languages • Resulting corpora with CMDI metadata released for VLO - Newspaper texts (NRC and NRC.nl) from different genres (hard news, opinion, background stories) on related topics (2011) - Two WhatsApp datasets of different age groups (13/14, 20-25)