DeepAI AI Chat
Log In Sign Up

Contemporary Amharic Corpus: Automatically Morpho-Syntactically Tagged Amharic Corpus

We introduced the contemporary Amharic corpus, which is automatically tagged for morpho-syntactic information. Texts are collected from 25,199 documents from different domains and about 24 million orthographic words are tokenized. Since it is partly a web corpus, we made some automatic spelling error correction. We have also modified the existing morphological analyzer, HornMorpho, to use it for the automatic tagging.


page 1

page 2

page 3

page 4


1.5 billion words Arabic Corpus

This study is an attempt to build a contemporary linguistic corpus for A...

The EcoLexicon English Corpus as an open corpus in Sketch Engine

The EcoLexicon English Corpus (EEC) is a 23.1-million-word corpus of con...

As Cool as a Cucumber: Towards a Corpus of Contemporary Similes in Serbian

Similes are natural language expressions used to compare unlikely things...

Creating a contemporary corpus of similes in Serbian by using natural language processing

Simile is a figure of speech that compares two things through the use of...

How big is big enough? Unsupervised word sense disambiguation using a very large corpus

In this paper, the problem of disambiguating a target word for Polish is...

The Open corpus of the Veps and Karelian languages: overview and applications

A growing priority in the study of Baltic-Finnic languages of the Republ...