Comparable Corpus Retrieval

Comparable Corpus Retrieval is a corpus retrieval method that identifies and retrieves bilingual or multilingual text collections with similar domains, topics, or genres but without direct translation alignment, thereby enabling cross-lingual linguistic analysis and resource development.

15

Publications

453

Citations

40

Authors

20

Institutions

Publications per year

2017–2026

0

Authors

40

  1. AS
    Azadeh Shakery

    University of Tehran, Iran

    3 publications · 62 citations

    3

    h-index

  2. YC
    Yun-Chuang Chiao

    Assistance Publique – Hôpitaux de Paris, France

    2 publications · 143 citations

    2

    h-index

  3. PZ
    Pierre Zweigenbaum

    Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, France

    2 publications · 143 citations

    2

    h-index

  4. LL
    Lishuang Li

    Dalian University of Technology, China

    1 publications · 17 citations

    1

    h-index

  5. RS
    Raymond S. Flournoy

    Fuji Xerox (Japan), Japan

    1 publications · 14 citations

    1

    h-index

1–5 of 40

Venues

  1. Information Processing & Management

    2 publications · 47 citations

    2

    h-index

  2. Information Retrieval

    2 publications · 73 citations

    2

    h-index

  3. PubMed

    Repository · 1 publications · 27 citations

    1

    h-index

  4. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 10 citations

    1

    h-index

  5. 1

    h-index

1–5