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KI-Glossar

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Cross-Lingual Zero-Shot Learning

Learning paradigm where a model performs tasks in a target language without any specific training examples, by transferring knowledge from one or more source languages.

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Shared Multilingual Embeddings

Vector representations of linguistic units (words, phrases) in a common semantic space where equivalents from different languages are positioned close spatially.

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Target Language Projection

Technique for mapping vector representations from a source language to the vector space of a target language without requiring direct parallel data.

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Vector Space Alignment

Mathematical process of geometrically aligning the embedding spaces of different languages to enable the transfer of semantic knowledge between them.

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Cross-Domain Adaptation

Ability of a model to generalize its performance from a specific domain in a source language to a different domain in a target language without training data.

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Multilingual Transformer Models

Neural architectures pre-trained simultaneously on multiple languages, capable of performing zero-shot transfers between language pairs not seen during training.

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Zero-Shot Paraphrasing

Method where the model generates descriptions or paraphrases in the source language to solve complex tasks in the target language without direct examples.

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Zero-Shot Text Classification

Task of categorizing text in a target language using only class descriptions in a source language, without labeled target data.

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Zero-Shot Evaluation

Specific measurement protocols to evaluate model performance on languages or tasks not seen during training, quantifying transfer capability.

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Cross-Lingual Generalization

A model's ability to maintain its performance when applied to languages structurally or typologically different from those used for training.

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Few-Shot Fine-Tuning

Adaptation technique using a minimal number of examples in the target language to significantly improve zero-shot performance while preserving transfer efficiency.

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Zero-Shot Translation

The ability of multilingual models to translate between language pairs not directly trained together, using pivot languages or shared representations.

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Multilingual Prompt Engineering

Optimized design of instructions and examples in a source language to effectively guide task execution in unseen target languages.

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