Bilingual Lexicon Induction
34 papers with code • 0 benchmarks • 0 datasets
Translate words from one language to another.
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Latest papers with no code
Data Selection for Bilingual Lexicon Induction from Specialized Comparable Corpora
In this paper, we contrast several data selection techniques to improve bilingual lexicon induction from specialized comparable corpora.
Morphologically Aware Word-Level Translation
We propose a novel morphologically aware probability model for bilingual lexicon induction, which jointly models lexeme translation and inflectional morphology in a structured way.
Anchor-based Bilingual Word Embeddings for Low-Resource Languages
For low resource languages training MWEs monolingually results in MWEs of poor quality, and thus poor bilingual word embeddings (BWEs) as well.
Multi-Adversarial Learning for Cross-Lingual Word Embeddings
Generative adversarial networks (GANs) have succeeded in inducing cross-lingual word embeddings -- maps of matching words across languages -- without supervision.
A Relaxed Matching Procedure for Unsupervised BLI
Recently unsupervised Bilingual Lexicon Induction (BLI) without any parallel corpus has attracted much research interest.
Plan Optimization to Bilingual Dictionary Induction for Low-Resource Language Families
Plan optimization is crucial in composing the order of bilingual dictionaries creation with the consideration of the methods and their costs.
A Generalized Constraint Approach to Bilingual Dictionary Induction for Low-Resource Language Families
Our proposed methods have statistically significant improvement of precision and F-score compared to our previous constraint-based methods.
A Survey of Orthographic Information in Machine Translation
It introduces under-resourced languages in terms of machine translation and how orthographic information can be utilised to improve machine translation.
Modeling Code-Switch Languages Using Bilingual Parallel Corpus
A bilingual language model is expected to model the sequential dependency for words across languages, which is difficult due to the inherent lack of suitable training data as well as diverse syntactic structure across languages.
A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction
To deal with those issues, in this paper, we propose a novel graph-based paradigm to induce bilingual lexicons in a coarse-to-fine way.