[PDF][PDF] Sparse bilingual word representations for cross-lingual lexical entailment
We introduce the task of cross-lingual lexical entailment, which aims to detect whether the
meaning of a word in one language can be inferred from the meaning of a word in another …
meaning of a word in one language can be inferred from the meaning of a word in another …
Leveraging orthographic similarity for multilingual neural transliteration
We address the task of joint training of transliteration models for multiple language pairs
(multilingual transliteration). This is an instance of multitask learning, where individual tasks …
(multilingual transliteration). This is an instance of multitask learning, where individual tasks …
Encoding prior knowledge with eigenword embeddings
Canonical correlation analysis (CCA) is a method for reducing the dimension of data
represented using two views. It has been previously used to derive word embeddings …
represented using two views. It has been previously used to derive word embeddings …
False-friend detection and entity matching via unsupervised transliteration
[PDF][PDF] Canonical Correlation Inference for Map** Abstract Scenes to Text
H Jiang, N Papasarantopoulos, SB Cohen - CoRR, 2016 - homepages.inf.ed.ac.uk
We describe a technique for structured prediction, based on canonical correlation analysis.
Our learning algorithm finds two projections for the input and the output spaces that aim at …
Our learning algorithm finds two projections for the input and the output spaces that aim at …