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.
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· International Conference on...· 0 citations
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
The results suggest that Portuguese-specialized encoder-decoder models are a promising direction for Gloss-to-Text translation in low-resource settings.
J. Tomaszewski, B. S. Santana, Antonielle Martins et al.· Anais do VII Workshop sobre...· 0 citations
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.
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· International Journal of Inf...· 0 citations
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.· Digital Scholarship in the H...· 0 citations
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