Dec 6, 2018 · This paper develops a word vector embedding based CLIR model that uses the average distances between the embedded word vectors of the source and ...

dwaipayan [email protected]. ABSTRACT. Crosslingual information retrieval (CLIR) finds its application in aligning documents across comparable corpora.

Dec 6, 2018 · This paper develops a word vector embedding based CLIR model that uses the average distances between the embedded word vectors of the source and ...

This paper develops a word vector embedding based CLIR model that uses the average distances between the embedded word vectors of the source and target language ...

Word Embedding based Semantic Cross-Lingual Document Alignment in Comparable Corpora. Debasis Ganguly, Haithem Afli, Dwaipayan Roy. Anthology ID: DBLP:conf ...

Our experiments show that word vectors trained using expensive cross-lingual supervision (word alignments or sentence alignments) perform the best on semantic ...

Mar 15, 2022 · In this work, we aim to generate effective CLEs with auxiliary Topic Models. We utilize both monolingual and bilingual topic models.

We discuss cross-lingual word embedding algorithms that rely on word-level alignments in Section 6. Such methods can be further divided into mapping-based ...

In these methods, It usually first constructs the corpora of a document with a subject into a conceptual matrix, and learning a shared bilingual semantic space.

Mar 1, 2020 · The chapter covers work on cross-lingual clusters, delexicalization strategies for cross-lingual transfer, earlier use of seed dictionaries, ...