Identifying Word Translations in Non-Parallel Texts

Abstract

Common algorithms for sentence and word-alignment allow the automatic identification of word translations from parallel texts. This study suggests that the identification of word translations should also be possible with non-parallel and even unrelated texts. The method proposed is based on the assumption that there is a correlation between the patterns of word co-occurrences in texts of different languages.

3 pages, requires aclap.sty and epic.sty

Cited by in corpus (8)

• Word Translation Without Parallel Data
• Unsupervised Alignment of Embeddings with Wasserstein Procrustes
• Extraction of domain-specific bilingual lexicon from comparable corpora: compositional translation and ranking
• Non-Adversarial Unsupervised Word Translation
• Augmenting Statistical Machine Translation with Subword Translation of Out-of-Vocabulary Words
• Multilingual Word Embeddings using Multigraphs
• Meta-evaluation of comparability metrics using parallel corpora
• Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data