Links, tools, and tutorials

Here I collect miscellaneous information that I found useful. All things related to understanding and modeling talk.

Annotation of speech-in-talk:

  1. Conversation analytic transcriptions in LaTeX (broken link)
  2. Multilayer annotation in Praat (broken link)

Processing Cantonese:

  1. MV dialog parser for Chinese (broken link)
  2. Pycantonese Cantonese processing in Python

Praat scripts:

http://praatscripting.lingphon.net

Machine learning for dialog systems:

Colah’s famous blog on machine learning

Build your own open source chatbot beginner tutorial

2019 guide to automatic speech recognition

Choosing the right estimator

Ethnomethodology resources:

EMCA Wiki

Interactional Linguistics Wiki (in German) on Institut der deutschen Sprache (IDS) website

Conversation analysis and pragmatics:

What’s wrong with speech act theory

Problems of Speech Act Theory From an Applied Perspective

Paper collection of languages as complex adaptive systems

Andreas Liesenfeld
Andreas Liesenfeld
Postdoc in language technology

I am a social scientist working in Conversational AI. My work focuses on understanding how humans interact with voice technologies in the real world. I aspire to produce useful insights for anyone who designs, builds, uses or regulates talking machines. Late naturalist under pressure. “You must collect things for reasons you don’t yet understand.” — Daniel J. Boorstin

Related