Cross-language Term Weighting

Cross-Language Term Weighting is a computational method in Cross-Language Information Retrieval that assigns relevance scores to terms across languages by accounting for cross-lingual semantic equivalence and distributional disparities, distinguishing it from monolingual term weighting through its integration of interlingual alignment.

10

Publications

457

Citations

28

Authors

17

Institutions

Publications per year

2017–2026

1

Authors

28

  1. PA
    Peter A. Chew

    Sandia National Laboratories, United States

    2 publications · 83 citations

    2

    h-index

  2. LL
    Lian Li

    Shandong University, China

    1 publications · 12 citations

    1

    h-index

  3. JM
    Jun Ma

    Shandong University, China

    1 publications · 12 citations

    1

    h-index

  4. LS
    Ling Song

    Shandong University of Science and Technology, China

    1 publications · 12 citations

    1

    h-index

  5. AA
    Ahmed Abdelalí

    New Mexico State University, United States

    1 publications · 20 citations

    1

    h-index

1–5 of 28

Venues

  1. Natural Language Engineering

    1 publications · 20 citations

    1

    h-index

  2. 1

    h-index

  3. Computers & Mathematics with Applications

    1 publications · 12 citations

    1

    h-index

  4. Computer Vision and Image Understanding

    CVIU · 1 publications · 10 citations

    1

    h-index

  5. NTCIR

    1 publications · 10 citations

1–5