Directly applying advancements in transfer learning from BERT results in poor accuracy in domain-specific areas like law because of a word distribution shift from general domain corpora to domain-specific corpora. In our project, we will demonstrate how the pre-trained language model BERT can be adapted to additional domains, such as contract la…
統計的言語モデルの作成
Sitio del grupo de estadística para el estudio del lenguaje
A project written in R for a statistical linguistics class that analyzes which variables influence particle placement with phrasal verbs.
A coursework-style project from my MSc Machine Learning on Big Data (University of East London), using PySpark to compute word frequency distributions on a large English corpus (~9.5 million words) and to compare frequency estimates from small samples against the full dataset.
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