NATURAL LANGUAGE PROCESSING FOR LOW-RESOURCED CODE-SWITCHED

Based on these findings, Good (2016) developed seven design principles for developing a Natural Language Programming language. They are divided into two categories; the first one

In this thesis we explore to what extent deep neural networks DNNs, trained end-to-end, can be used to perform natural language processing tasks for code-switched colloquial

In this thesis we explore to what extent deep neural networks (DNNs), trained end-to-end, can be used to perform natural language processing tasks for code-switched colloquial

We then ran both algorithms again but this time excluded queries expecting an album as result and only asked for tracks and artists.. We also did a third run of the algorithms with

Using natural language processing and Dialogflow we were able to create a program that from a plain text file containing the rules can automatically extract entities and create a

The system consists of two components, including a keyword extraction module, which uses sentences collected from children as input to extract keywords as output, and a text

This report gives a good overview on how to approach and develop natural language processing support for applications, containing algorithms used within the field, tools

The formalized and algorithmic study of human language within the field of Natural Language Processing (NLP) has motivated much theoretical work in the related field of