Arabic word processing and morphology induction through adaptive memory self-organisation strategies
Aim of the present study is to model the human mental lexicon, by focussing on storage and processing dynamics, as lexical organisation relies on the process of input recoding and adaptive strategies for long-term memory organisation. A fundamental issue in word processing is represented by the emer...
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| Format: | Article |
| Language: | English |
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Elsevier
2017-04-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157816301148 |
| _version_ | 1811239673524125696 |
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| author | Claudia Marzi Marcello Ferro Ouafae Nahli |
| author_facet | Claudia Marzi Marcello Ferro Ouafae Nahli |
| author_sort | Claudia Marzi |
| collection | DOAJ |
| description | Aim of the present study is to model the human mental lexicon, by focussing on storage and processing dynamics, as lexical organisation relies on the process of input recoding and adaptive strategies for long-term memory organisation. A fundamental issue in word processing is represented by the emergence of the morphological organisation level in the lexicon, based on paradigmatic relations between fully-stored word forms. Morphology induction can be defined as the task of perceiving and identifying morphological formatives within morphologically complex word forms, as a function of the dynamic interaction between lexical representations and distribution and degrees of regularity in lexical data.
In the computational framework we propose here (TSOMs), based on Self-Organising Maps with Hebbian connections defined over a temporal layer, the identification/perception of surface morphological relations involves the alignment of recoded representations of morphologically-related input words. Facing a non-concatenative morphology such as the Arabic inflectional system prompts a reappraisal of morphology induction through adaptive organisation strategies, which affect both lexical representations and long-term storage.
We will show how a strongly adaptive self-organisation during training is conducive to emergent relations between word forms, which are concurrently, redundantly and competitively stored in human mental lexicon, and to generalising knowledge of stored words to unknown forms. |
| first_indexed | 2024-04-12T13:05:13Z |
| format | Article |
| id | doaj.art-dacd7c6054784f31a96a654d9a2c5602 |
| institution | Directory Open Access Journal |
| issn | 1319-1578 |
| language | English |
| last_indexed | 2024-04-12T13:05:13Z |
| publishDate | 2017-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj.art-dacd7c6054784f31a96a654d9a2c56022022-12-22T03:32:04ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782017-04-0129217918810.1016/j.jksuci.2016.11.006Arabic word processing and morphology induction through adaptive memory self-organisation strategiesClaudia MarziMarcello FerroOuafae NahliAim of the present study is to model the human mental lexicon, by focussing on storage and processing dynamics, as lexical organisation relies on the process of input recoding and adaptive strategies for long-term memory organisation. A fundamental issue in word processing is represented by the emergence of the morphological organisation level in the lexicon, based on paradigmatic relations between fully-stored word forms. Morphology induction can be defined as the task of perceiving and identifying morphological formatives within morphologically complex word forms, as a function of the dynamic interaction between lexical representations and distribution and degrees of regularity in lexical data. In the computational framework we propose here (TSOMs), based on Self-Organising Maps with Hebbian connections defined over a temporal layer, the identification/perception of surface morphological relations involves the alignment of recoded representations of morphologically-related input words. Facing a non-concatenative morphology such as the Arabic inflectional system prompts a reappraisal of morphology induction through adaptive organisation strategies, which affect both lexical representations and long-term storage. We will show how a strongly adaptive self-organisation during training is conducive to emergent relations between word forms, which are concurrently, redundantly and competitively stored in human mental lexicon, and to generalising knowledge of stored words to unknown forms.http://www.sciencedirect.com/science/article/pii/S1319157816301148Non-concatenative morphological structureWord recoding and processingLexical storage and accessTopological alignmentSynchronisationSelf-Organising Maps |
| spellingShingle | Claudia Marzi Marcello Ferro Ouafae Nahli Arabic word processing and morphology induction through adaptive memory self-organisation strategies Journal of King Saud University: Computer and Information Sciences Non-concatenative morphological structure Word recoding and processing Lexical storage and access Topological alignment Synchronisation Self-Organising Maps |
| title | Arabic word processing and morphology induction through adaptive memory self-organisation strategies |
| title_full | Arabic word processing and morphology induction through adaptive memory self-organisation strategies |
| title_fullStr | Arabic word processing and morphology induction through adaptive memory self-organisation strategies |
| title_full_unstemmed | Arabic word processing and morphology induction through adaptive memory self-organisation strategies |
| title_short | Arabic word processing and morphology induction through adaptive memory self-organisation strategies |
| title_sort | arabic word processing and morphology induction through adaptive memory self organisation strategies |
| topic | Non-concatenative morphological structure Word recoding and processing Lexical storage and access Topological alignment Synchronisation Self-Organising Maps |
| url | http://www.sciencedirect.com/science/article/pii/S1319157816301148 |
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