Text normalization methods have been commonly applied to historical language or user-
generated content, but less often to dialectal transcriptions. In this paper, we introduce …

There has been a lot of recent interest in the natural language processing (NLP) community
in the computational processing of language varieties and dialects, with the aim to improve …

Language technologies should be judged on their usefulness in real-world use cases. An
often overlooked aspect in natural language processing (NLP) research and evaluation is …

Technology has paved the way for new modalities in language learning, teaching, and
assessment. However, there is still a great deal of work to be done to develop such tools for …

The paper presents a spoken corpus of the endangered Torlak dialect from the Timok area
of Southeast Serbia. This dialect expresses a great deal of variation in the use of non …

Swiss German is a dialect continuum whose natively acquired dialects significantly differ
from the formal variety of the language. These dialects are mostly used for verbal …

This paper evaluates various character alignment methods on the task of sentence-level
standardization of dialect transcriptions. We compare alignment methods from different …

This article seeks to reorientate 'digital oral history'towards a new research paradigm,
Multimodal Digital Oral History (MDOH), and in so doing it seeks to build upon Alistair …

Abstract Automatic Language Identification (LI) or Dialect Identification (DI) of short texts of
closely related languages or dialects, is one of the primary steps in many natural language …

Strong regional variation, together with the lack of standard orthography, makes Swiss
German automatic speech recognition (ASR) particularly difficult in a multi-dialectal setting …