Global ETD Search
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Showing 1 to 4 of 4 for “"Multilingual NLP"”.
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Improving Parameter-Efficient Cross-Lingual Transfer for Low-Resource Languages
The rapid development and real-world adoption of natural language processing models in recent years underscores the imperative to develop such models in different languages. This endeavour aims to enable access to emerging technologies to a broad spectrum of individuals, irrespective of their …
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Efficient and Composable Adaptation for Cross-Lingual Transfer
… is employed to improve performance of NLP systems for (typically lower-resource) target languages. For instance, two independently trained PEFT modules, one for a specific task and one for a specific target language, can be composed in zero-shot fashion to perform transfer to that …
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Acquiring and Harnessing Verb Knowledge for Multilingual Natural Language Processing
… development and downstream performance of NLP models across languages. First, I investigate the potential of acquiring semantic verb classes from non-experts through manual clustering. This subsequently informs the development of a two-phase semantic dataset creation methodology, which …
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Data-Driven Language Understanding for Spoken Dialogue Systems
… cross-lingual word vectors are used to train multilingual belief tracking models. These models operate across many languages at once, providing an efficient method for bootstrapping language understanding models for lower-resource languages with limited training data.