Parallel Corpus Retrieval

Parallel Corpus Retrieval is a computational method within corpus retrieval that specifically identifies and retrieves aligned multilingual document or sentence pairs from parallel corpora to support cross-lingual analysis or machine translation.

17

Publications

474

Citations

48

Authors

19

Institutions

Publications per year

2017–2026

4

Authors

48

  1. MV
    Martin Volk

    University of Zurich, Switzerland

    2 publications · 26 citations

    2

    h-index

  2. GH
    Gustavo Hernández Ábrego

    Google (United States), United States

    2 publications · 95 citations

    2

    h-index

  3. YS
    Yun-Hsuan Sung

    Google (United States), United States

    2 publications · 95 citations

    2

    h-index

  4. DC
    Daniel Cer

    Google (United States), United States

    2 publications · 95 citations

    2

    h-index

  5. YY
    Yinfei Yang

    Google (United States), United States

    2 publications · 95 citations

    2

    h-index

1–5 of 48

Venues

  1. PubMed

    Repository · 1 publications · 16 citations

    1

    h-index

  2. Zurich Open Repository and Archive (University of Zurich)

    Repository · 1 publications · 12 citations

    1

    h-index

  3. University of Twente Research Information

    Repository · 1 publications · 16 citations

    1

    h-index

  4. International Journal of Corpus Linguistics

    IJCL · 1 publications · 16 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 12 citations

    1

    h-index

1–5