ThaiTrees: Thai Syntactic Dependency Trees Across Domains

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,...

Syntactic Sugar for Syntactic Queries: Sequential Representations for Dependency Queries

A large-scale pipeline for LLM-assisted corpus annotation

As natural language corpora expand at an unprecedented rate, manual annotation remains a significant methodological bottleneck in corpus linguistic work. We address this challenge by presenting a scalable pipeline for automating grammatical annotation using large language models (LLMs). We demonstrate the pipeli...

Introducing Shallow Syntactic Information within the Graph-based Dependency Parsing

IndicBERT-CRF Based Chunking Framework for Low-Resource Gujarati Language

Chunking is an important NLP task that identifies non-overlapping syntactic phrases such as noun and verb phrases without constructing a full parse tree. For low-resource and morphologically rich languages like Gujarati, chunking remains challenging due to flexible word order, limited annotated data, and insufficient l...

Using Large Language Models for Automated Corpus Annotation and Linguistic Analysis: A Critical Methodological Framework

This article argues against unvalidated full automation and proposes selective automation, disagreement-based human adjudication, model/version documentation, and preservation of raw outputs for corpus research and develops a validated human–LLM workflow for corpus research.