• No results found

A Character level Convolutional Neural Network for Distinguishing Similar Languages and Dialects

N/A
N/A
Protected

Academic year: 2020

Share "A Character level Convolutional Neural Network for Distinguishing Similar Languages and Dialects"

Copied!
8
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Table 2: Results for our submitted runs. Best results out of our runs are in bold; best overall systemsshown in italics for reference
Figure 1: Confusion matrices for our best runs on test sets A and C. Best viewed in color.

References

Related documents

In this work, we survey tagging accuracies (part-of-speech as well as full morphological tag- ging) for several part-of-speech taggers based on a corpus of Latin texts.. The corpus

When we need separate authorities for attributes and authentication services, each authority signs separately on the same basic certicate and corresponding extension eld, which

Hence, for more flexibility and to integrate dispersion wave speeds in composites with power and energy models, we considered developing a predictive tool based

Description: This command clears all of the displayed characters by writing a space to each display position. A space is defined as character 0x20 of the current character set.

Of late, extensive exploration work being carried out by Atomic Minerals Directorate for Exploration and Research (AMD) in the undivided State of Andhra Pradesh has located

Conservative states such as Oklahoma, however, could benefit most from Medicaid expansion by receiving the highest percentage of federal subsidy at 30% in order to insure

BioMed CentralBMC Pregnancy and Childbirth ss Open AcceResearch article Polymorphisms in immunoregulatory genes and the risk of histologic chorioamnionitis in Caucasoid women a case

In the remainder of these lectures, we’ll view the bosonic string in the same manner as the type II string and assume that the theory includes both closed strings and open strings