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Search Results: 1 - 10 of 21124 matches for " Natural Language Processing "
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An English-to-Arabic Prototype Machine Translator for Statistical Sentences  [PDF]
Hamdy N. Agiza, Ahmed E. Hassan, Noura Salah
Intelligent Information Management (IIM) , 2012, DOI: 10.4236/iim.2012.41003
Abstract: Authors of that paper proposed a prototype machine translator system to translate scientific English sentences into Ara- bic sentences. This system is based on natural language processing and machine learning. This proposed system is ap- plied in statistical field, which is very important on a mathematical sub field in Math department. The system is ana- lyzed, designed and developed. Author tested the proposed system on some statistical statements. It proves its validity as a prototype system.
Processing Malaysian Indigenous Languages: A Focus on Phonology and Grammar  [PDF]
Asmah Haji Omar
Open Journal of Modern Linguistics (OJML) , 2014, DOI: 10.4236/ojml.2014.45063
Abstract: Malaysian indigenous languages are of two entirely different families: Austronesian and Austroasiatic. The former consists of Malay and all the languages of Sabah and Sarawak, while the latter the aboriginal languages found only in Peninsular Malaysia. Except for Malay and a few more in Sabah and Sarawak, most of these languages have not been put into writing. This means that no writing system has been ascribed to them, despite the fact that quite a number have been described in terms of phonology, morphology and syntax. From the descriptions available, one gets a picture of their typologies and systems for processing purposes. Concerning typology, there is not much difference between the two families as far as phonemic inventories go, but there are differences in the phonological structures of the syllable and the word. As for morphology, the Austronesian languages are agglutinative, while the Austroasiatic ones are isolative. There is also a difference in the syntactical status of the word, where the former has the two categories of the full word and the particle, and the latter only the full word. This last mentioned difference leads to a divergence between them in the types of phrase, the clause, and the complex sentence. Natural language processing (NLP) is a methodology which is now being applied in the analysis of various aspects of languages. This paper discusses the constraints faced by most of the Malaysian indigenous languages in the application of this methodology.
Chaos and Natural Language Processing
Marius Crisan
Acta Polytechnica Hungarica , 2007,
Abstract: The article explores the possibility to construct a unified word feature out of thecomponent features of letters. Each letter is modeled by a different attractor and finallyembedded in a quadratic iterated map. The result is the word feature that can account forthe meaning extraction process of language understanding. This is a new approach innatural language processing based on the deterministic chaotic behavior of dynamicalsystems.
Polish Semantic Parser
Grazyna Szostek,Agnieszka Grudzinska
Computer Science , 2000,
Abstract: Amount of information transferred by computers grows very rapidly thus outgrowing the average man's capability of reception. It implies computer programs increase in the demand for which would be able to perform an introductory classitication or even selection of information directed to a particular receiver. Due to the complexity of the problem, we restricted it to understanding short newspaper notes. Among many conceptions formulated so far, the conceptual dependency worked out by Roger Schank has been chosen. It is a formal language of description of the semantics of pronouncement integrated with a text understanding algorithm. Substantial part of each text transformation system is a semantic parser of the Polish language. It is a module, which as the first and the only one has an access to the text in the Polish language. lt plays the role of an element, which finds relations between words of the Polish language and the formal registration. It translates sentences written in the language used by people into the language theory. The presented structure of knowledge units and the shape of understanding process algorithms are universal by virtue of the theory. On the other hand the defined knowledge units and the rules used in the algorithms ure only examples because they are constructed in order to understand short newspaper notes.
Automatic Extraction of Semantic Association from Polish Text
Wieslaw Lubaszewski,Marek Gajecki
Computer Science , 2002,
Abstract: In the paper we presents a method for automatic construction of an association list for a particular word. Association list is a set of word each of which is in a semantic relation with the words, to dqine. To construct the association list we use statistic reasoning algorithm, which works on the base ofthe Polish inflection dictionary text corpus, and the quantitative dictionary created for the corpus. Experiments are encouraging enough - one may think that the association can serve as the base for the entry in a semantic dictionary
Information Retrieval Using Association Lists
Marek Gajecki
Computer Science , 2004,
Abstract: The paper presents the main models of information retrieval in text. The idea of association list and its use for information retrieval is introduced. The paper contains the evaluation results of the algorithms under discussion.
Lexical Server of Polish Language
Marek Gajecki
Computer Science , 2001,
Abstract: This paper presents Lexical Server of Polish Language, the tool that aids natural language processing (NLP). Database of the server consists of dictionary units enriched by lexical information. The lexical server should be able to perform identification of word forms and generations of all inflected forms of the word. The server is dedicated to the people who are looking for NLP algorithms or implement them. The algorithms can be implemented in different kinds of programming languages and different operating systems. There are some examples of problems when lexical server can be useful: automatic text correction, tcxt indexing, keywords extraction, text profile building.
Automatic Classification of Nouns into Semantic Groups Using a Corpus of Text
Marek Gajecki,Marek Krezolek
Computer Science , 2003,
Abstract: This article presents a method of classification of nouns into semantic groups based on statistical inference. The algorithm uses the inflectional dictionary of the Polish language and a corpus of texts to analyse adjective-noun relationships. The semantic groups are consistent with the categorization in the WordNet dictionary. The classification of nouns into semantic groups is a small step towards constructing a semantic dictionary for the Polish language.
Finite-State Methodology in Natural Language Processing
Michal Korzycki
Computer Science , 2001,
Abstract: Recent mathematical and algorithmic results in the field of finite-state technology, as well the increase in computing power, have constructed the base for a new approach in natural language processing. However the task of creating an appropriate model that would describe the phenomena of the natural language is still to be achieved. ln this paper I'm presenting some notions related to the finite-state modelling of syntax and morphology.
Resolving Ambiguities of Meaning from Contextual Clues in Polish Texts
Marek Krezolek
Computer Science , 2002,
Abstract: This article describes a computer programme designed to assign the appropriate meaning to homonyms based on the context in which they appear Homonyms can be defined as words with a number of d@rent, o#en unrelated meanings 0'or example a bank - a business that lends or keeps money the land along the side of river; a large pile of earth, sand snow). The programme described in the paper exploits a monolingual dictionary which, together with and supported by declension dictionary assigns the appropriate meaning for any given word from the text. In order to assign the correct and appropriate meaning for the given context two methods are used and exploited: 1) Recognition of the meaning of a particular homonym based on the occurrence of its collocations in the immediate context. 2) Applying the correct meaning ofthe word based on the overall theme or topic of the text in which appears.
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