The ARIEL-CMU Systems for LoReHLT18

Aditi Chaudhary
Aditi Chaudhary
Siddharth Dalmia
Siddharth Dalmia
Xinjian Li
Xinjian Li
Aldrian Obaja Muis
Aldrian Obaja Muis
Naoki Otani
Naoki Otani
Zaid Sheikh
Zaid Sheikh
Nidhi Vyas
Nidhi Vyas
Xinyi Wang
Xinyi Wang
Jiateng Xie
Jiateng Xie

arXiv: Computation and Language, 2019.

Cited by: 3|Bibtex|Views51|Links
EI

Abstract:

This paper describes the ARIEL-CMU submissions to the Low Resource Human Language Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity Discovery and Linking (EDL), and detection of Situation Frames in Text and Speech (SF Text and Speech).

Code:

Data:

Your rating :
0

 

Tags
Comments