Developing a Deep Grammar of Indonesian within the ParGram Framework: Theoretical and Implementational Challenges

How Useful are LLMs for Grammar Engineering? Cantonese ParGram Resources and Controlled Experimental Evaluation with English Baselines

This paper presents new Cantonese ParGram resources and evaluates LLMs for knowledge-driven grammar engineering within a controlled experimental paradigm. Using Cantonese ParGram resources as gold standards, with corresp…

Using Meta-Morph Rules to develop Morphological Analysers: A case study concerning Tamil

This paper describes a new and larger coverage Finite-State Morphological Analyser (FSM) and Generator for the Dravidian language Tamil. The FSM has been developed in the context of computational grammar engineering, adh…

ParGramBank: The ParGram Parallel Treebank

Building an HPSG-based Indonesian Resource Grammar (INDRA)

Location-based Twitter Filtering for the Creation of Low-Resource Language Datasets in Indonesian Local Languages

Twitter contains an abundance of linguistic data from the real world. We examine Twitter for user-generated content in low-resource languages such as local Indonesian. For NLP to work in Indonesian, it must consider loca…