Context-Aware Crosslingual Mapping

by   Hanan Aldarmaki, et al.

Cross-lingual word vectors are typically obtained by fitting an orthogonal matrix that maps the entries of a bilingual dictionary from a source to a target vector space. Word vectors, however, are most commonly used for sentence or document-level representations that are calculated as the weighted average of word embeddings. In this paper, we propose an alternative to word-level mapping that better reflects sentence-level cross-lingual similarity. We incorporate context in the transformation matrix by directly mapping the averaged embeddings of aligned sentences in a parallel corpus. We also implement cross-lingual mapping of deep contextualized word embeddings using parallel sentences with word alignments. In our experiments, both approaches resulted in cross-lingual sentence embeddings that outperformed context-independent word mapping in sentence translation retrieval. Furthermore, the sentence-level transformation could be used for word-level mapping without loss in word translation quality.


page 1

page 2

page 3

page 4


Context-Aware Cross-Lingual Mapping

Cross-lingual word vectors are typically obtained by fitting an orthogon...

Robust Cross-lingual Embeddings from Parallel Sentences

Recent advances in cross-lingual word embeddings have primarily relied o...

Locality Preserving Loss to Align Vector Spaces

We present a locality preserving loss (LPL)that improves the alignment b...

Offline bilingual word vectors, orthogonal transformations and the inverted softmax

Usually bilingual word vectors are trained "online". Mikolov et al. show...

ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs

A number of cross-lingual transfer learning approaches based on neural n...

Revisiting the Context Window for Cross-lingual Word Embeddings

Existing approaches to mapping-based cross-lingual word embeddings are b...

Exploring sentence informativeness

This study is a preliminary exploration of the concept of informativenes...

Please sign up or login with your details

Forgot password? Click here to reset