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Found 4 papers, 1 papers with code
Triplet loss based embeddings for forensic speaker identification in Spanish
In face of this situation, the field of forensic speaker identification has been looking to shed light on the problem by quantifying how much a speech recording belongs to a particular person in relation to a population.
Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages
Machine translation from polysynthetic to fusional languages is a challenging task, which gets further complicated by the limited amount of parallel text available.
Challenges of language technologies for the indigenous languages of the Americas
Indigenous languages of the American continent are highly diverse.
UNAM at SemEval-2018 Task 10: Unsupervised Semantic Discriminative Attribute Identification in Neural Word Embedding Cones
As $a, b, q$ are represented with neural word embeddings, we tested vector operations allowing us to measure membership, i. e. fuzzy set operations (t-norm, for fuzzy intersection, and t-conorm, for fuzzy union) and the similarity between $q$ and the convex cone described by $a$ and $b$.
