Multilingual Document Retrieval
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Multilingual Document Retrieval has 2 facts recorded in Dontopedia across 2 references.
Maturity scale
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purposePurpose(1)
- Retrieval Pipeline
ex:retrieval-pipeline
solvesSolves(1)
- Dense Retrieval
ex:dense-retrieval
Other facts (2)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Information Retrieval Task | [1] |
| Indicated by | Language Expansion | [2] |
Timeline
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References (2)
ctx:claims/beam/71bd619f-3a2a-4409-aa90-2bb4c8d66908- full textbeam-chunktext/plain1 KB
doc:beam/71bd619f-3a2a-4409-aa90-2bb4c8d66908Show excerpt
4. **Building the Index**: We use Faiss to build an index of the document vectors. The index is optimized for inner product similarity. 5. **Searching and Retrieving**: We encode the query into a vector, normalize it, and search the index t…
ctx:claims/beam/83decc01-f770-4428-852b-466b97d6139c- full textbeam-chunktext/plain1 KB
doc:beam/83decc01-f770-4428-852b-466b97d6139cShow excerpt
expanded_query = query for lang in languages: if lang != 'en': # Use translation API or model to expand query # For simplicity, we assume a translation function `translate` translated_quer…
See also
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