Welcome to Part-Of-Speech tagging for low-resource languages

Introduction

This source code is the basis of the following paper:

Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary, by Meng Fang and Trevor Cohn, ACL 2017

Building

It's developed on dynet toolkit.

• Install dynet following clab/dynet.
• Add the source code to folder dynet/examples and modify CMakeLists.txt.
• Make again.

Code

• UniTagger: a universal POS tagger
• JointTagger: a tranfer learning model using both the gold and distant data

Data format

The format of input data is as follows:

Tok_1 Tok_2 ||| Tag_1 Tag_2
Tok_1 Tok_2 Tok_3 ||| Tag_1 Tag_2 Tag_3
...

Data resource

• Crosslingual word embeddings and corpora
• Universal POS tagset