Inlämning av Examensarbete / Submission of Thesis

Daniel Åkerud; Henrik Rendlo MSE-2004:21, pp. 67. TEK/avd. för programvaruteknik, 2004.

The work

Författare / Author: Daniel Åkerud, Henrik Rendlo
Titel / Title: Natural Language Processing from a Software Engineering Perspective
Abstrakt Abstract:

This thesis is intended to deal with questions related to the processing of naturally occurring texts, also known as natural language processing (NLP). The subject will be approached from a software engineering perspective, and the problem description will be formulated thereafter. The thesis is roughly divided into two major parts. The first part contains a literature study covering fundamental concepts and algorithms. We discuss both serial and parallel architectures, and conclude that different scenarios call for different architectures. The second part is an empirical evaluation of an NLP framework or toolkit chosen amongst a few, conducted in order to elucidate the theoretical part of the thesis. We argue that component based development in a portable language could increase the reusability in the NLP community, where reuse is currently low. The recent emergence of the discovered initiatives and the great potential of many applications in this area reveal a bright future for NLP.

Ämnesord / Subject: Datavetenskap - Computer Science\Software Engineering

Nyckelord / Keywords: Natural Language Processing, Software Engineering, Language Engineering, Architecture

Publication info

Dokument id / Document id:
Program:/ Programme Magisterprogram Programvaruteknik, 40 poäng/Masters programme Software Engineering
Registreringsdatum / Date of registration: 09/16/2004
Uppsatstyp / Type of thesis: D-Uppsats/Magister/Master

Context

Handledare / Supervisor: Stefan Johansson
stefan.johansson@bth.se
Examinator / Examiner: Claes Wohlin
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: TEK/avd. för programvaruteknik
S-372 25 Ronneby
+46 455 38 50 00

Files & Access

Bifogad uppsats fil(er) / Files attached: nlpfasep.pdf (1954 kB, öppnas i nytt fönster)