Browsing by Keywords "Computational linguistics"
Now showing items 1-20 of 20
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Architecture framework for mapping parallel algorithms to parallel computing platforms
(CEUR-WS, 2013)Mapping parallel algorithms to parallel computing platforms requires several activities such as the analysis of the parallel algorithm, the definition of the logical configuration of the platform, and the mapping of the ... -
Association rules for supporting hoarding in mobile computing environments
(IEEE, 2000)One of the features that a mobile computer should provide is disconnected operation which is performed by hoarding. The process of hoarding can be described as loading the data items needed in the future to the client cache ... -
Atatürk'ün el yazmalarının işlenmesi
(IEEE, 2010-04)Bu çalımada Atatürk'ün el yazmalarının etkin ve kolay eriimini salayabilecek kelime tabanlı bir arama sisteminin ilk aaması olarak sayısallatırılmı belgelerin ön ilemesi ve satır ve kelimelere bölütlenmesi konusunda çalımalar ... -
Classifying fonts and calligraphy styles using complex wavelet transform
(Springer-Verlag London Ltd, 2015)Recognizing fonts has become an important task in document analysis, due to the increasing number of available digital documents in different fonts and emphases. A generic font recognition system independent of language, ... -
Correct-schema-guided synthesis of steadfast programs
(IEEE, 1997-11)It can be argued that for (semi-)automated software development, program schemas are indispensable, since they capture not only structured program design principles, but also domain knowledge, both of which are of crucial ... -
An English-to-Turkish interlingual MT system
(Springer, 1998-10)This paper describes the integration of a Turkish generation system with the KANT knowledge-based machine translation system to produce a prototype English-Turkish interlingua-based machine translation system. These two ... -
Generating semantic similarity atlas for natural languages
(IEEE, 2018-12)Cross-lingual studies attract a growing interest in natural language processing (NLP) research, and several studies showed that similar languages are more advantageous to work with than fundamentally different languages ... -
Hareket geçmişi görüntüsü yöntemi ile Türkçe işaret dilini tanima uygulaması
(IEEE, 2016-05)İşitme ve konuşma engelli bireylerin toplum içerisinde diger bireylerle sağlıklı şekilde iletişim kurabilmeleri açısından işaret dili çok önemli bir role sahiptir. Ne yazık ki işaret dilinin toplumda sadece duyarlı insanlar ... -
Information-based approach to punctuation
(AAAI, 1997-07)This thesis analyzes, in an information-based framework, the semantic and discourse aspects of punctuation, drawing computational implications for Natural Language Processing (NLP) systems. The Discourse Representation ... -
Lexical cohesion based topic modeling for summarization
(Springer, 2008-02)In this paper, we attack the problem of forming extracts for text summarization. Forming extracts involves selecting the most representative and significant sentences from the text. Our method takes advantage of the lexical ... -
A lexical-functional grammar for Turkish
(Bilkent University, 1993)Natural language processing is a research area which is becoming increasingly popular each day for both academic and commercial reasons. Syntactic parsing underlies most of the applications in natural language processing. ... -
Model-driven transformations for mapping parallel algorithms on parallel computing platforms
(MDHPCL, 2013)One of the important problems in parallel computing is the mapping of the parallel algorithm to the parallel computing platform. Hereby, for each parallel node the corresponding code for the parallel nodes must be implemented. ... -
An ontology-based approach to parsing Turkish sentences
(Springer, 1998-10)The main problem with natural language analysis is the ambiguity found in various levels of linguistic information. Syntactic analysis with word senses is frequently not enough to resolve all ambiguities found in a sentence. ... -
Ordering translation templates by assigning confidence factors
(Springer Verlag, 1998)TTL (Translation Template Learner) algorithm learns lexical level correspondences between two translation examples by using analogical reasoning. The sentences used as translation examples have similar and different parts ... -
OTAP Ottoman archives internet interface
(IEEE, 2012)Within Ottoman Text Archive Project a web interface to aid in uploading, binarization, line and word segmentation, labeling, recognition and testing of the Ottoman Turkish texts has been developed. It became possible to ... -
Parsing Turkish using the lexical functional grammar formalism
(Springer/Kluwer Academic Publishers, 1995)This paper describes our work on parsing Turkish using the lexical-functional grammar formalism [11]. This work represents the first effort for wide-coverage syntactic parsing of Turkish. Our implementation is based on ... -
River: an intermediate language for stream processing
(John Wiley & Sons Ltd., 2016)Summary This paper presents both a calculus for stream processing, named Brooklet, and its realization as an intermediate language, named River. Because River is based on Brooklet, it has a formal semantics that enables ... -
Text summarization of turkish texts using latent semantic analysis
(ACM, 2010)Text summarization solves the problem of extracting important information from huge amount of text data. There are various methods in the literature that aim to find out well-formed summaries. One of the most commonly used ... -
Topic-Centric Querying of Web Information Resourcest
(Springer, Berlin, Heidelberg, 2001)This paper deals with the problem of modeling web information resources using expert knowledge and personalized user information, and querying them in terms of topics and topic relationships. We propose a model for web ... -
Two learning approaches for protein name extraction
(Academic Press, 2009)Protein name extraction, one of the basic tasks in automatic extraction of information from biological texts, remains challenging. In this paper, we explore the use of two different machine learning techniques and present ...