Tibetan–English Cross Lingual Sentence Similarity This model scores the semantic similarity between a Tibetan sentence and an English sentence. Give it any Tibetan passage and any English passage, and it returns a number between –1 and 1: values near 1 mean the two passages express the same idea; values near 0 mean they are unrelated; negative values indicate contrasting meanings. The model was developed to support work with Tibetan Buddhist literature. As large volumes of Tibetan text are digitized and translated into English, there is a practical need to align passages across parallel texts. It is useful for researchers, translators, and Buddhist scholars working with Tibetan–English text pairs, as well as developers building text alignment tools. Intended Use The primary use case is to score the similarity between a Tibetan input and an English input: To rank multiple English candidates against a single Tibetan source (e.g. to compare translation options): Model Details Model Description Model Type: Sentence Transformer Base model: sentence transformers/all MiniLM L6 v2 Architecture: BERT based transformer encoder with mean pooling Maximum Sequence Length: 512 tokens Output Dime…
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