activity
20182021
collaborators

6 papers

cs.SD2021

Triplet loss based embeddings for forensic speaker identification in Spanish

Emmanuel Maqueda, Javier Alvarez-Jimenez, Carlos Mena +1

With the advent of digital technology, it is more common that committed crimes or legal disputes involve some form of speech recording where the identity of a speaker is questioned…

cs.CY2020

Hacia los Comités de Ética en Inteligencia Artificial

Sofía Trejo, Ivan Meza, Fernanda López-Escobedo

The goal of Artificial Intelligence based systems is to take decisions that have an effect in their environment and impact society. This points out to the necessity of mechanism th…

cs.CL2018

Topic Discovery in Massive Text Corpora Based on Min-Hashing

Gibran Fuentes-Pineda, Ivan Vladimir Meza-Ruiz

The task of discovering topics in text corpora has been dominated by Latent Dirichlet Allocation and other Topic Models for over a decade. In order to apply these approaches to mas…

cs.CL2018

Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages

Manuel Mager, Elisabeth Mager, Alfonso Medina-Urrea +2

Machine translation from polysynthetic to fusional languages is a challenging task, which gets further complicated by the limited amount of parallel text available. Thus, translati…

cs.CL2018

Challenges of language technologies for the indigenous languages of the Americas

Manuel Mager, Ximena Gutierrez-Vasques, Gerardo Sierra +1

Indigenous languages of the American continent are highly diverse. However, they have received little attention from the technological perspective. In this paper, we review the res…

cs.CL2018

Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages

Katharina Kann, Manuel Mager, Ivan Meza-Ruiz +1

Morphological segmentation for polysynthetic languages is challenging, because a word may consist of many individual morphemes and training data can be extremely scarce. Since neur…