Text normalization is the task of map** non-canonical language, typical of speech
transcription and computer-mediated communication, to a standardized writing. It is an up …

Swiss dialects of German are, unlike most dialects of well standardised languages, widely
used in everyday communication. Despite this fact, automatic processing of Swiss German is …

A great deal of historical corpora suffer from errors introduced by the OCR (optical character
recognition) methods used in the digitization process. Correcting these errors manually is a …

Swiss dialects of German are, unlike many dialects of other standardised languages, widely
used in everyday communication. Despite this fact, automatic processing of Swiss German is …

The goal of this work is to design a machine translation (MT) system for a low-resource
family of dialects, collectively known as Swiss German, which are widely spoken in …

We compare different LSTMs and transformer models in terms of their effectiveness in
normalizing dialectal Finnish into the normative standard Finnish. As dialect is the common …

Abstract The Swiss German dialect corpus Archi-Mob poses great challenges for NLP and
corpus linguistic research due to the massive amount of variation found in the transcriptions …

With the increasing availability of digitized resources of historical documents, interest in
effective natural language processing (NLP) for these documents is on the rise. However …

This paper presents three systems submitted to the German Dialect Identification (GDI) task
at the VarDial Evaluation Campaign 2017. The task consists of training models to identify the …

This paper presents multiple methods for normalizing the most deviant and infrequent
historical spellings in a corpus consisting of personal correspondence from the 15th to the …