[HTML][HTML] Bilingual word embedding fusion for robust unsupervised bilingual lexicon induction
Great progress has been made in unsupervised bilingual lexicon induction (UBLI) by
aligning the source and target word embeddings independently trained on monolingual …
aligning the source and target word embeddings independently trained on monolingual …
Cross-lingual feature extraction from monolingual corpora for low-resource unsupervised bilingual lexicon induction
Despite their progress in high-resource language settings, unsupervised bilingual lexicon
induction (UBLI) models often fail on corpora with low-resource distant language pairs due …
induction (UBLI) models often fail on corpora with low-resource distant language pairs due …
Beyond offline mapping: Learning cross lingual word embeddings through context anchoring
Recent research on cross-lingual word embeddings has been dominated by unsupervised
mapping approaches that align monolingual embeddings. Such methods critically rely on …
mapping approaches that align monolingual embeddings. Such methods critically rely on …
Dual Word Embedding for Robust Unsupervised Bilingual Lexicon Induction
H Cao, L Li, C Zhu, M Yang… - IEEE/ACM Transactions on …, 2023 - ieeexplore.ieee.org
The word embedding models such as Word2vec and FastText simultaneously learn dual
representations of input vectors and output vectors. In contrast, almost all existing …
representations of input vectors and output vectors. In contrast, almost all existing …
Enhancing isomorphism between word embedding spaces for distant languages bilingual lexicon induction
Most of the bilingual lexicon induction (BLI) models learn a mapping function that can
transfer word embedding (WE) spaces from one language to another. This usually relies on …
transfer word embedding (WE) spaces from one language to another. This usually relies on …
Unsupervised Bilingual Lexicon Induction for Low Resource Languages
C Rathnayake, PRS Thilakarathna, U Nethmini… - arXiv preprint arXiv …, 2024 - arxiv.org
Bilingual lexicons play a crucial role in various Natural Language Processing tasks.
However, many low-resource languages (LRLs) do not have such lexicons, and due to the …
However, many low-resource languages (LRLs) do not have such lexicons, and due to the …
Topic-based unsupervised and supervised dictionary induction
Y Liu, M Piccardi - ACM Transactions on Asian and Low-Resource …, 2023 - dl.acm.org
Word translation is a natural language processing task that provides translation between the
words of a source and a target language. As a task, it reduces to the induction of a bilingual …
words of a source and a target language. As a task, it reduces to the induction of a bilingual …
Don't Forget Cheap Training Signals Before Building Unsupervised Bilingual Word Embeddings
Bilingual Word Embeddings (BWEs) are one of the cornerstones of cross-lingual transfer of
NLP models. They can be built using only monolingual corpora without supervision leading …
NLP models. They can be built using only monolingual corpora without supervision leading …
Reshaping Word Embedding Space with Monolingual Synonyms for Bilingual Lexicon Induction
Recent research on Bilingual Lexicon Induction (BLI) involves mapping monolingual word
embeddings (WEs) into a shared space and obtaining word translations by retrieving the …
embeddings (WEs) into a shared space and obtaining word translations by retrieving the …
Word embedding transformation for robust unsupervised bilingual lexicon induction
H Cao, T Zhao - arXiv preprint arXiv:2105.12297, 2021 - arxiv.org
Great progress has been made in unsupervised bilingual lexicon induction (UBLI) by
aligning the source and target word embeddings independently trained on monolingual …
aligning the source and target word embeddings independently trained on monolingual …