Artificial Intelligence in Language Corpus Construction: A Structured Review of Pipelines, Failure Modes, and Validation Requirements
Keywords:
corpus construction, large language models, corpus linguisticsAbstract
The construction of language corpora has historically been limited by the cost of human labour: texts had to be located, cleaned, aligned, and annotated by hand. Artificial intelligence (AI) – in particular large language models (LLMs), neural speech recognition systems, and multilingual sentence encoders – has substantially removed that constraint. Corpus builders now routinely delegate acquisition, filtering, alignment, annotation, and even text production itself to automated systems. The methodological consequences of this shift have not yet been consolidated into a coherent account for the corpus-linguistic community
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