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Recent advances in natural language processing via large pre-trained language models: A survey
Large, pre-trained language models (PLMs) such as BERT and GPT have drastically
changed the Natural Language Processing (NLP) field. For numerous NLP tasks …
changed the Natural Language Processing (NLP) field. For numerous NLP tasks …
BabyBERTa: Learning more grammar with small-scale child-directed language
Transformer-based language models have taken the NLP world by storm. However, their
potential for addressing important questions in language acquisition research has been …
potential for addressing important questions in language acquisition research has been …
Controlled Evaluation of Syntactic Knowledge in Multilingual Language Models
Language models (LMs) are capable of acquiring elements of human-like syntactic
knowledge. Targeted syntactic evaluation tests have been employed to measure how well …
knowledge. Targeted syntactic evaluation tests have been employed to measure how well …
How Well Can BERT Learn the Grammar of an Agglutinative and Flexible-Order Language? The Case of Basque.
This work investigates the acquisition of formal linguistic competence by neural language
models, hypothesizing that languages with complex grammar, such as Basque, present …
models, hypothesizing that languages with complex grammar, such as Basque, present …
Simplification of German Narrative Documents with Longformer mBART
T Schomacker - 2025 - reposit.haw-hamburg.de
Transformer-models have become the most prominent method for solving a multitude of
natural language processing (NLP) tasks since their introduction in 2017. Natural Language …
natural language processing (NLP) tasks since their introduction in 2017. Natural Language …
[SITAT][C] Methods for the inspection of learning machines: with a focus on the language domain
R Schwarzenberg - 2022 - Dissertation, Berlin, Technische …