An expectation-maximization algorithm for query translation based on pseudo-relevant documents
• A query translation method based on expectation maximization algorithm is proposed. • The method (EM4QT) exploits pseudo-relevant documents in source and target languages. • EM4QT extracts a number of hidden variables for each translation pair. • EM4QT employs an expectation maximization algorithm...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Dadashkarimi, Javid [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Umfang: |
17 |
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| Übergeordnetes Werk: |
Enthalten in: Selective oxidation of 1,2-propanediol to lactic acid catalyzed by nanosized Mg(OH)2-supported bimetallic Au–Pd catalysts - Feng, Yonghai ELSEVIER, 2014, an international journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:53 ; year:2017 ; number:2 ; pages:371-387 ; extent:17 |
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| DOI / URN: |
10.1016/j.ipm.2016.11.007 |
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ELV030443768 |
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| 520 | |a • A query translation method based on expectation maximization algorithm is proposed. • The method (EM4QT) exploits pseudo-relevant documents in source and target languages. • EM4QT extracts a number of hidden variables for each translation pair. • EM4QT employs an expectation maximization algorithm for estimating the parameters. • EM4QT outperforms competitive baselines in cross-language information retrieval. | ||
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• A query translation method based on expectation maximization algorithm is proposed. • The method (EM4QT) exploits pseudo-relevant documents in source and target languages. • EM4QT extracts a number of hidden variables for each translation pair. • EM4QT employs an expectation maximization algorithm for estimating the parameters. • EM4QT outperforms competitive baselines in cross-language information retrieval. |
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• A query translation method based on expectation maximization algorithm is proposed. • The method (EM4QT) exploits pseudo-relevant documents in source and target languages. • EM4QT extracts a number of hidden variables for each translation pair. • EM4QT employs an expectation maximization algorithm for estimating the parameters. • EM4QT outperforms competitive baselines in cross-language information retrieval. |
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• A query translation method based on expectation maximization algorithm is proposed. • The method (EM4QT) exploits pseudo-relevant documents in source and target languages. • EM4QT extracts a number of hidden variables for each translation pair. • EM4QT employs an expectation maximization algorithm for estimating the parameters. • EM4QT outperforms competitive baselines in cross-language information retrieval. |
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