Show, Don’t Tell: Visualising Finnish Word Formation in a Browser-Based Reading Assistant

Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging

Understanding how large language models (LLMs) represent natural language is a central challenge in natural language processing (NLP) research. Many existing methods extract word embeddings from an LLM, visualise the emb…

A Character-Word Compositional Neural Language Model for Finnish

Inspired by recent research, we explore ways to model the highly morphological Finnish language at the level of characters while maintaining the performance of word-level models. We propose a new Character-to-Word-to-Cha…

Dialect Text Normalization to Normative Standard Finnish

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 way of communication for people online in F…

Out-of-Domain Evaluation of Finnish Dependency Parsing

The prevailing practice in the academia is to evaluate the model performance on in-domain evaluation data typically set aside from the training corpus. However, in many real world applications the data on which the model…

WA-Continuum: Visualising Word Alignments across Multiple Parallel Sentences Simultaneously