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Concept
Cross-Lingual Word Embedding
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Summary
Cross-Lingual Word Embedding
is a technique that maps words from multiple languages into a
Shared vector space
, enabling
Comparative linguistic analysis
and
Zero-shot Learning
across languages. This approach facilitates applications like
Machine Translation
and
Multilingual Information Retrieval
by leveraging the
Semantic Relationship
between
Words across different languages
.
Concepts
Word Embedding
Vector Space Model
Semantic Similarity
Machine Translation
Zero-shot Learning
Multilingual Information Retrieval
Bilingual Word Embedding
Language Model
Cross-lingual Transfer Learning
Natural Language Processing
Alignment Techniques
Relevant Degrees
Computer Science and Data Processing 63%
Linguistics 38%
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