Multilingual Word Embeddings
19 papers with code • 0 benchmarks • 0 datasets
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Latest papers with no code
Expanding the Text Classification Toolbox with Cross-Lingual Embeddings
In particular, we test the hypothesis that embeddings with context are more effective, by multi-tasking the learning of multilingual word embeddings and text classification; we explore neural architectures for CLTC; and we move from bi- to multi-lingual word embeddings.
Unsupervised Hyperalignment for Multilingual Word Embeddings
This paper extends this line of work to the problem of aligning multiple languages to a common space.
GlobalTrait: Personality Alignment of Multilingual Word Embeddings
We propose a multilingual model to recognize Big Five Personality traits from text data in four different languages: English, Spanish, Dutch and Italian.
Multilingual Embeddings Jointly Induced from Contexts and Concepts: Simple, Strong and Scalable
A simple and effective context-based multilingual embedding learner is Levy et al. (2017)'s S-ID (sentence ID) method.
NORMA: Neighborhood Sensitive Maps for Multilingual Word Embeddings
Inducing multilingual word embeddings by learning a linear map between embedding spaces of different languages achieves remarkable accuracy on related languages.
Learning Unsupervised Word Translations Without Adversaries
Word translation, or bilingual dictionary induction, is an important capability that impacts many multilingual language processing tasks.
Orthographic Features for Bilingual Lexicon Induction
Recent embedding-based methods in bilingual lexicon induction show good results, but do not take advantage of orthographic features, such as edit distance, which can be helpful for pairs of related languages.
