Skip to content

Shared Task: Translating Historical Text to Contemporary Language for Improving Automatic Linguistic Annotation

· 0 citations · 40 references

TL;DR

This work focuses on improving part-of-speech tagging analysis of seventeenth-century Dutch, and finds the best system obtained an error reduction of 51% in comparison with the baseline of tagging unmodified text.

View source

Similar papers

2026

Controllable Sentence Simplification in Italian: Fine-Tuning Large Language Models on Automatically Generated Resources

Results from automatic and human evaluations show that fine-tuning on IMPaCTS improves performance both in terms of task completion and adherence to the targeted readability levels compared to few-shot baselines.

Michele Papucci, Giulia Venturi, F. Dell'orletta · 0 citations
Preprint Aug 2026

Assessing Quality of Experience in Natural Language Generation of German Text

TextQ-German is introduced, a novel dataset suite for human-centered evaluation of German NLG from a Quality of Experience (QoE) perspective, covering automatic text summarization and machine translation and develops automatic QoE prediction models, including transformer-based, linguistic feature-based, and hybrid appr...

Dinh Nam Pham, Shushen Manakhimova, Vivien Macketanz et al. · 0 citations
Jul 2026

A POS Tier Is the Key to Automated Annotation for Low-Resource Language Documentation: Neural Interlinear Glossing for Irabu, a Southern Ryukyuan Language

This work implements a full neural annotation pipeline (morpheme segmentation, POS tagging, glossing) for Irabu Ryukyuan using deliberately small, transparent BiLSTM-CRF models, and concludes with a concrete recommendation for documentation practice: annotate quadrilinearly - text, POS, gloss, translation.

Michinori Shimoji · 0 citations
Open access Sep 2026

Bridging the linguistic divide: recent developments in machine translation for Indian languages

This paper analyses various recent state-of-the-art variants of large language models (LLMs) and neural machine translation (NMT) for Indian languages in comparison to statistical machine translation (SMT) and tackles key questions, such as idiomatic expressions, morphologically complex grammar or the scarceness of par...

Jayanand A. Kamble, Shivajirao M. Jadhav, V. J. Kadam · 0 citations
Jul 2026

Parsing Middle High German: exploring cross-lingual NLP for treebank construction in low-resource historical languages

This study highlights the potential of NLP tools to streamline the semiautomatic annotation process, reducing the reliance on extensive linguistic expertise and manual effort, and paving the way for broader applications in digital humanities research.

Ercong Nie, Siyao Peng, Helmut Schmid et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.