Wspalign Xlm Base
WSPAlign is a weakly supervised large-scale span prediction-based word alignment pre-training model that supports word alignment tasks for multiple language pairs.
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Release Time : 8/3/2023
Model Overview
This model is primarily used for multilingual word alignment tasks, capable of identifying corresponding words or phrases in texts of different languages.
Model Features
Multilingual support
Supports word alignment for multiple language pairs including English, Chinese, Japanese, etc.
Weakly supervised learning
Utilizes large-scale weakly supervised methods for pre-training to improve alignment accuracy
Span prediction
Span prediction-based architecture enables more accurate identification of aligned words
Model Capabilities
Multilingual word alignment
Cross-lingual text analysis
Translation assistance
Use Cases
Machine translation
Translation quality assessment
Analyze translation quality through word alignment
Can identify incorrect alignments in translations
Linguistic research
Cross-linguistic comparative analysis
Study word correspondence relationships between different languages
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