Automatic Sentence Parsing for Amharic Text an Experiment Using Probabilistic Context Free Grammars

dc.contributor.advisorBirru, Tesfaye
dc.contributor.authorAlemu, Atelach
dc.date.accessioned2018-11-08T12:08:06Z
dc.date.accessioned2023-11-18T12:49:36Z
dc.date.available2018-11-08T12:08:06Z
dc.date.available2023-11-18T12:49:36Z
dc.date.issued2002-06
dc.description.abstractNatural Language processing, as a field of scientific inquiry, plays an important role in increasing computers capability to understand natural languages, the language by which most human knowledge is recorded. Works in the area of Natural Language Processing try to design and implement computer programs that can understand natural language and act appropriately on the information contained in the text or utterance. Enabling computers to understand natural language involves extraction of meaning from natural language sentences. And one of the steps in this process is sentence parsing. Sentence parsing, which is also called syntactic parsing, is the process of identifying how words can be put together to form correct sentences and determining what structural role each word plays in the sentence and what phrases are subparts of what other phrases. A sentence parser outputs a parse structure that could be used as a component in many applications including semantic analysis, machine translation, information storage and retrieval of textual data etc. Today, parsers of different kinds (e.g. probabilistic, rule based) have been developed for languages, which have relatively wider use nationally and/or internationally (e .g. English, German, Chinese, etc). The same story is not true for Amharic, the working language of the Federal Government of Ethiopia, and one of the major languages of Ethiopia (Bender et al, 1976) since to the best of my knowledge, there are no sentence parsers of any sort that process this language.en_US
dc.identifier.urihttp://etd.aau.edu.et/handle/12345678/13985
dc.language.isoenen_US
dc.publisherAddis Ababa Universityen_US
dc.subjectNatural Language processingen_US
dc.titleAutomatic Sentence Parsing for Amharic Text an Experiment Using Probabilistic Context Free Grammarsen_US
dc.typeThesisen_US

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