Parallel Corpus Filtering Based on Semantic Similarity and Surface Dissimilarity for Japanese Text Simplification with LLMs

PARSEME 2.0 Multilingual Corpus of Multiword Expressions

We present edition 2.0 of the PARSEME multilingual corpus annotated for multiword expressions (MWEs), resulting from efforts of the PARSEME community towards universality-driven modeling of idiomaticity. With respect to previous editions, we extend the annotation scope to all syntactic MWE categories: verbal, nominal,...

SEAS: Sentence Extraction and Alignment from Subtitles

This submission includes a curated corpus of gold-standard alignments for English-Spanish and English-German subtitles, along with their corresponding subtitle files, a novel annotation tool, and the full code to reproduce the method.

Generative Large Language Models for Word Sense Disambiguation in Russian

Improving Cross-Lingual Transfer for Sequential Sentence Classification in Research Papers via Structural Similarity

These cross-lingual transfer experiments show that linguistic proximity has no consistent predictive power for transfer performance, whereas structural similarity in rhetorical organization shows a weak but consistent positive correlation across models, and a set of three methods that explicitly leverage structural inf...

Semantic and Syntactic Preserving Parallel Corpus Augmentation for Neural Machine Translation

In the domain of Natural Language Processing (NLP) Parallel text corpora are crucial for training machine translation systems and multilingual NLP applications. They provide the necessary context for learning translation models (e.g., statistical MT or neural MT). In addition, they foster semantic, syntactic, and struc...

RETRIEVAL BEATS FINE-TUNING: ADAPTING A KAZAKH SMALL LANGUAGE MODEL FOR HISTORICAL QUESTION ANSWERING

Large language models (LLMs) have shown a strong ability to solve a wide range of language tasks. However, they became less practical for subject-specific applications, especially when dealing with low-resource languages. This paper shows an example of adaptation of small language models (SLMs) to solve subject-specifi...