ActInf GuestStream 062.1 ~ Michael Carl, "Deep temporal Models of the Translation Process"

Michael Carl "Deep temporal Models of the Translation Process"
https://scholar.google.com/citations?... Abstract: Translation Process
Research (TPR) investigates how humans produce translations from one language
into another. Several methods have been used to gather evidence for the
assumed underlying translation processes, including think-aloud,
(retrospective) interviews, questionnaires, screen recording, brain image
technologies (EEG, fMRI), etc. In our research, we use keyloggers and
eyetrackers to collect behavioral data during the translation sessions. The
two data streams are synchronized to establish correspondences between the
sensory input (reading) and translational action (typing) and analyzed to
arrive -- among other things -- at a better understanding of the relations
between translation effort and effects, which heavily depend on the
translator's expertise, text difficulty, expected translation quality, etc.
Numerous models of the translating mind have been suggested, some of which
suggest that multiple, more or less automatized and/or conscious translation
processes complement each other during translation production. In this talk I
suggest the Free Energy Principle (FEP) and Active Inference (AIF) as a novel
framework for analyzing, specifying and modelling deep embedded translation
processes and for simulating their interaction within the POMDP framework. I
exemplify how translation-behavioral data (keystrokes and gaze data) elicit
traces of a deep temporal architecture, in which human translation production
is modelled in several temporally embedded and interacting processes that
unfold on different timelines. Following FEP/AIF, the deep temporal
architecture allows translators to arrive at a steady state of fluent
translation production by minimizing the discrepancy between the translator's
internal states and the (textual) states in the external translation
environment. Active Inference Institute information: Website:
https://activeinference.org/ Twitter: / inferenceactive Discord: / discord
YouTube: / activeinference Active Inference Livestreams:
https://coda.io/@active-inference-ins...

CSID: b0969429d1b58abb

Content Managed by ContentSafe.co