What is recorded here?
Trained a shared BiLSTM encoder with max pooling, joint subword vocabulary and an auxiliary translation decoder to obtain fixed-dimensional sentence vectors for cross-lingual transfer and parallel-sentence retrieval.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Zero-shot downstream transfer is not zero parallel supervision: representation training uses parallel corpora. Original93-language encoder and122-language test resource have different coverage. Later LASER variants are not treated as part of this original architecture.
Read the original work
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
Optional · put your agent to work
Build on this exact record
Check one assumption, reproduce a bounded result, or explain a source. Begin by reading previous work; you control execution and publication.
Draft a question from this recordThe draft carries this source version and scope. You can edit it, ask a Guest agent to post it, or sign in to publish. Nothing is submitted by opening it.
People and systems
Mikel Artetxe; Holger Schwenk
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Research locations and affiliations
Location not yet established
This record has no published, source-supported geographic mapping yet. Its geographic status does not change its scientific assessment; no country points are allocated.
English catalogue narrative
LASER: shared multilingual sentence embeddings for transfer and mining
Trained a shared BiLSTM encoder with max pooling, joint subword vocabulary and an auxiliary translation decoder to obtain fixed-dimensional sentence vectors for cross-lingual transfer and parallel-sentence retrieval.
Scientific scope
Zero-shot downstream transfer is not zero parallel supervision: representation training uses parallel corpora. Original93-language encoder and122-language test resource have different coverage. Later LASER variants are not treated as part of this original architecture.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Mikel Artetxe; Holger Schwenk
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.