scholarly journals The morphological analysis and synthesis of word forms in the linguistic analyzer

2021 ◽  
Vol 17 (1) ◽  
pp. 558-564
Author(s):  
Bakhtiyor Mengliyev ◽  
Shohida Shahabitdinova ◽  
Shahlo Khamroeva ◽  
Shakhnoza Gulyamova ◽  
Adiba Botirova
2020 ◽  
Vol 6 (9) ◽  
pp. 435-439
Author(s):  
B. Kochkonbaeva

This article discusses the modeling of morphological analysis and synthesis of the Kyrgyz language. Models of creating word forms and rules for connecting affixes to the base of a word are considered. As a result of studying the structure of natural language, a algorithm of module was created that performs automatic morphological analysis and synthesis of word forms on a personal computer.


Author(s):  
Martin Maiden

The historical morphology of the verb ‘snow’ in Francoprovençal presents a conundrum, in that it is clearly analogically influenced by the verb ‘rain’, for obvious reasons of lexical semantic similarity, but the locus of that influence is not the ‘root’ (the ostensible bearer of lexical meaning) but desinential inflexion-class members, which are in principle independent of any lexical meaning. Similar morphological changes are also identified for other Gallo-Romance verbs. It seems, in effect, that speakers can identify exponents of the lexical meaning of word-forms in linear sequences larger than the apparent ‘morphemic’ composition of those word-forms, even when such a composition may seem prima facie transparent and obvious. It is argued that these facts are inherently incompatible with ‘constructivist’, morpheme-based, models of morphology, and strongly compatible with what have been called ‘abstractivist’ (‘word-and-paradigm’) approaches, which generally take entire word-forms as the primary units of morphological analysis.


2020 ◽  
pp. 1-29
Author(s):  
Cem Rıfkı Aydın ◽  
Tunga Güngör

Abstract Although many studies on sentiment analysis have been carried out for widely spoken languages, this topic is still immature for Turkish. Most of the works in this language focus on supervised models, which necessitate comprehensive annotated corpora. There are a few unsupervised methods, and they utilize sentiment lexicons either built by translating from English lexicons or created based on corpora. This results in improper word polarities as the language and domain characteristics are ignored. In this paper, we develop unsupervised (domain-independent) and semi-supervised (domain-specific) methods for Turkish, which are based on a set of antonym word pairs as seeds. We make a comprehensive analysis of supervised methods under several feature weighting schemes. We then form ensemble of supervised classifiers and also combine the unsupervised and supervised methods. Since Turkish is an agglutinative language, we perform morphological analysis and use different word forms. The methods developed were tested on two datasets having different styles in Turkish and also on datasets in English to show the portability of the approaches across languages. We observed that the combination of the unsupervised and supervised approaches outperforms the other methods, and we obtained a significant improvement over the state-of-the-art results for both Turkish and English.


2003 ◽  
Vol 9 (1) ◽  
pp. 87-99 ◽  
Author(s):  
KEMAL OFLAZER

This paper presents a scheme that allows one to relax the all-or-none nature of two-level constraints in two-level morphology in a controlled manner, so that word forms with violations of some of the two-level constraints can be analyzed and ranked. The problem has been motivated by a recent phenomenon in Turkish with imported words that violate a fundamental assumption of Turkish that pronunciation and orthography have almost a one-to-one correspondence, and by a problem in Basque words with differing amounts of competence errors. We present the formulation of our proposal, and provide details of implementations for both problems using the XRCE Finite State Toolkit.


2007 ◽  
Vol 26 (2) ◽  
Author(s):  
Amir Zeldes

AbstractThis paper presents a morphophonology-based Item-and-Process approach to the finite-state lemmatization and morphological analysis of Polish. Unlike current text-based techniques, which search for all possible orthographic representations of Polish morphological suffixes, the multilevel phonological feature based algorithm presented here extracts morphophoneme arrays from graphemic word forms, allowing the extraction of abstract suffixes, independent of their surface representation. This makes it possible to use a simple mono-lemmatic dictionary, as well as to distinguish between homographic suffixes, and to carry out various phonological and morphological investigations using suffix fields in corpora.


2014 ◽  
pp. 126-138
Author(s):  
I. Maykiv ◽  
A. Stepanenko ◽  
D. Wobschall

A method for structural synthesis of Network Capable Application Processors (NCAPs) is proposed. It is based on a method of morphological analysis and synthesis and includes phases of functional analysis, structural synthesis, and search for a set of optimal solutions. The proposed method combines lexicographical criterion of preference (L- criterion) at a stage of functional analysis and unconditional criterion of preference (Pareto optimality) during the search phase, which are considered in literature as alternative methods of search for optimal solutions. Combining of criteria, makes it possible to reduce the number of synthesized alternative variants at a stage of structural synthesis and all obtained solutions are allowable.


2021 ◽  
Vol 34 (04) ◽  
pp. 1344-1354
Author(s):  
Oleg Vladimirovich Trofimov ◽  
Vladislav Genrihovich Frolov ◽  
Elena Zuferovna Klimova ◽  
Nina Mikhaylovna Ilyicheva ◽  
Marina Vladimirovna Kislinskaya

The purpose of the study is to analyze the level of digitalization of the economies of various countries of the world by dividing them into groups according to the level of digitalization of the economy through cluster analysis methods using a model for the development of high-tech industries. The following analysis methods were used during the analysis: a comparative approach in the analysis of approaches to the concept of "digital economy" by Russian and foreign authors, statistical analysis of indicators of the development of the digital economy of Russia and the countries of the world, cluster analysis in dividing the countries of the world into separate groups according to the level of development of the digital economy, morphological analysis and synthesis in the formation of the optimal structure of high-tech industries to increase the level of digitalization of the Russian economy, tabular and graphical methods to illustrate the results obtained. The result of the study is the formation of clusters of countries in the world according to the level of development of the digital economy and the application of a model for the development of high-tech industries in the country to increase the level of digitalization.


2021 ◽  
Vol 2021 (9) ◽  
pp. 11-18
Author(s):  
Nikolay Nikiforov

The methodology and results of morphological analysis and synthesis of installation construction designs for combined machining of long shafts and pipes by cutting and surface plastic deformation (SPD) with self-feeding rollers are presented. It is shown which design options have already been implemented in practice, and which are promising.


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