Agnostic Language Identification and Generation

Fuente: arXiv
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Main Authors: Høgsgaard, Mikael Møller, Pabbaraju, Chirag
Format: Preprint
Published: 2026
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author Høgsgaard, Mikael Møller
Pabbaraju, Chirag
author_facet Høgsgaard, Mikael Møller
Pabbaraju, Chirag
contents Recent works on language identification and generation have established tight statistical rates at which these tasks can be achieved. These works typically operate under a strong realizability assumption: that the input data is drawn from an unknown distribution necessarily supported on some language in a given collection. In this work, we relax this assumption of realizability entirely, and impose no restrictions on the distribution of the input data. We propose objectives to study both language identification and generation in this more general "agnostic" setup. Across both problems, we obtain novel interesting characterizations and nearly tight rates.
format Preprint
id arxiv_https___arxiv_org_abs_2601_23258
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Agnostic Language Identification and Generation
Høgsgaard, Mikael Møller
Pabbaraju, Chirag
Machine Learning
Artificial Intelligence
Computation and Language
Recent works on language identification and generation have established tight statistical rates at which these tasks can be achieved. These works typically operate under a strong realizability assumption: that the input data is drawn from an unknown distribution necessarily supported on some language in a given collection. In this work, we relax this assumption of realizability entirely, and impose no restrictions on the distribution of the input data. We propose objectives to study both language identification and generation in this more general "agnostic" setup. Across both problems, we obtain novel interesting characterizations and nearly tight rates.
title Agnostic Language Identification and Generation
topic Machine Learning
Artificial Intelligence
Computation and Language
url https://arxiv.org/abs/2601.23258