Search Results for author:
Found 18 papers, 6 papers with code
LSDC - A comprehensive dataset for Low Saxon Dialect Classification
We present a new comprehensive dataset for the unstandardised West-Germanic language Low Saxon covering the last two centuries, the majority of modern dialects and various genres, which will be made openly available in connection with the final version of this paper.
Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages
Cross-lingual transfer learning with large multilingual pre-trained models can be an effective approach for low-resource languages with no labeled training data.
Low Saxon dialect distances at the orthographic and syntactic level
Particularly in the PoS-based distances, one can observe all of the 21st century Low Saxon dialects shifting towards the modern majority languages.
DUMB: A Benchmark for Smart Evaluation of Dutch Models
The benchmark includes a diverse set of datasets for low-, medium- and high-resource tasks.
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation
For Gronings, for which there was a pre-existing text-to-speech (TTS) system available, we also examined the use of TTS to generate ASR training data from text-only sources.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Preregistered protocol for: Articulatory changes in speech following treatment for oral or oropharyngeal cancer: a systematic review
This document outlines a PROSPERO pre-registered protocol for a systematic review regarding articulatory changes in speech following oral or orophayrngeal cancer treatment.
Quantifying Language Variation Acoustically with Few Resources
Deep acoustic models represent linguistic information based on massive amounts of data.
Manipulation of oral cancer speech using neural articulatory synthesis
We present an articulatory synthesis framework for the synthesis and manipulation of oral cancer speech for clinical decision making and alleviation of patient stress.
Estimating the Level and Direction of Phonetic Dialect Change in the Northern Netherlands
This article reports ongoing investigations into phonetic change of dialect groups in the northern Netherlandic language area, particularly the Frisian and Low Saxon dialect groups, which are known to differ in vitality.
Adapting Monolingual Models: Data can be Scarce when Language Similarity is High
For many (minority) languages, the resources needed to train large models are not available.
The Danger of Reverse-Engineering of Automated Judicial Decision-Making Systems
In this paper we discuss the implications of using machine learning for judicial decision-making in situations where human rights may be infringed.
Neural Representations for Modeling Variation in Speech
We show that speech representations extracted from a specific type of neural model (i. e. Transformers) lead to a better match with human perception than two earlier approaches on the basis of phonetic transcriptions and MFCC-based acoustic features.
Squib: Reproducibility in Computational Linguistics: Are We Willing to Share?
For a selection of ten papers, we attempted to reproduce the results using the provided data and code.
The Power of Character N-grams in Native Language Identification
In this paper, we explore the performance of a linear SVM trained on language independent character features for the NLI Shared Task 2017.
ALT Explored: Integrating an Online Dialectometric Tool and an Online Dialect Atlas
In this paper, we illustrate the integration of an online dialectometric tool, Gabmap, together with an online dialect atlas, the Atlante Lessicale Toscano (ALT-Web).
