Mark Dingemanse


2022

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From text to talk: Harnessing conversational corpora for humane and diversity-aware language technology
Mark Dingemanse | Andreas Liesenfeld
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Informal social interaction is the primordial home of human language. Linguistically diverse conversational corpora are an important and largely untapped resource for computational linguistics and language technology. Through the efforts of a worldwide language documentation movement, such corpora are increasingly becoming available. We show how interactional data from 63 languages (26 families) harbours insights about turn-taking, timing, sequential structure and social action, with implications for language technology, natural language understanding, and the design of conversational interfaces. Harnessing linguistically diverse conversational corpora will provide the empirical foundations for flexible, localizable, humane language technologies of the future.

2020

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A simple repair mechanism can alleviate computational demands of pragmatic reasoning: simulations and complexity analysis
Jacqueline van Arkel | Marieke Woensdregt | Mark Dingemanse | Mark Blokpoel
Proceedings of the 24th Conference on Computational Natural Language Learning

How can people communicate successfully while keeping resource costs low in the face of ambiguity? We present a principled theoretical analysis comparing two strategies for disambiguation in communication: (i) pragmatic reasoning, where communicators reason about each other, and (ii) other-initiated repair, where communicators signal and resolve trouble interactively. Using agent-based simulations and computational complexity analyses, we compare the efficiency of these strategies in terms of communicative success, computation cost and interaction cost. We show that agents with a simple repair mechanism can increase efficiency, compared to pragmatic agents, by reducing their computational burden at the cost of longer interactions. We also find that efficiency is highly contingent on the mechanism, highlighting the importance of explicit formalisation and computational rigour.

2012

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A high speed transcription interface for annotating primary linguistic data
Mark Dingemanse | Jeremy Hammond | Herman Stehouwer | Aarthy Somasundaram | Sebastian Drude
Proceedings of the 6th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities