Add to ORKGURL to paper listed on conference siteIn this paper we propose a method for the automatic decipherment of lost langauges. Given a non-parallel corpus in a known related language, our model produces both alphabetic mappings and translations of words into their corresponding cognates. We employ a non-parametric Bayesian framework to simultaneously capture both low-level character mappings and high-level morphemic correspondences. This formulation enables us to encode some of the linguistic intuitions that have guided human decipherers. When applied to the ancient Semitic language Ugaritic, the model correctly maps nearly all letters to their Hebrew counterparts, and deduces the correct Hebrew cognate for over half of the Ugaritic words which ...
The purpose of the paper is to extend the general theory of translation to texts written in the same...
The Byblos writing system (ca. 1500 BC) comprises 15 inscriptions, with the largest one containing 4...
This paper describes three approaches to the task of automatically identifying the language a text i...
© 2019 Association for Computational Linguistics In this paper we propose a novel neural approach fo...
Most undeciphered lost languages exhibit two characteristics that pose significant decipherment chal...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Proceedings of the Sixth International Workshop on Treebanks and Linguistic Theories. Editors: Ko...
This article presents a new theoretical framework for computer-assisted decipherment of ancient alph...
We propose a method for efficiently finding all parallel passages in a largecorpus, even if the pass...
For centuries, scholars have explored the deep links among human languages. In this paper, we pres...
By comparing the languages of the world, we gain invaluable insights into human prehistory, predatin...
It is of great interest to researchers and scholars in many disciplines (particularly those working ...
Two major stages stages in language identification systems can be identified: the language modeling ...
National Science Foundation7th International Conference on Enterprise Information Systems, ICEIS 200...
Letter transpositions are relatively harmless for reading English and other Indo-European languages ...
The purpose of the paper is to extend the general theory of translation to texts written in the same...
The Byblos writing system (ca. 1500 BC) comprises 15 inscriptions, with the largest one containing 4...
This paper describes three approaches to the task of automatically identifying the language a text i...
© 2019 Association for Computational Linguistics In this paper we propose a novel neural approach fo...
Most undeciphered lost languages exhibit two characteristics that pose significant decipherment chal...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
Proceedings of the Sixth International Workshop on Treebanks and Linguistic Theories. Editors: Ko...
This article presents a new theoretical framework for computer-assisted decipherment of ancient alph...
We propose a method for efficiently finding all parallel passages in a largecorpus, even if the pass...
For centuries, scholars have explored the deep links among human languages. In this paper, we pres...
By comparing the languages of the world, we gain invaluable insights into human prehistory, predatin...
It is of great interest to researchers and scholars in many disciplines (particularly those working ...
Two major stages stages in language identification systems can be identified: the language modeling ...
National Science Foundation7th International Conference on Enterprise Information Systems, ICEIS 200...
Letter transpositions are relatively harmless for reading English and other Indo-European languages ...
The purpose of the paper is to extend the general theory of translation to texts written in the same...
The Byblos writing system (ca. 1500 BC) comprises 15 inscriptions, with the largest one containing 4...
This paper describes three approaches to the task of automatically identifying the language a text i...