يجب تسجيل الدخول أولا
Arabic Word Processing And Morphology Induction Through Adaptive Memory Self Organisation Strategies
| المصدر: | مجلة جامعة الملك سعود - علوم الحاسب والمعلومات |
|---|---|
| الناشر: | جامعة الملك سعود |
| المؤلف الرئيسي: | Marzi, Claudia (Author) |
| مؤلفين آخرين: | Ferro, Marcello (Co-Author) , Nahli, Ouafae (Co-Author) |
| المجلد/العدد: | مج29, ع2 |
| محكمة: | نعم |
| الدولة: |
السعودية |
| التاريخ الميلادي: |
2017
|
| الصفحات: | 179 - 188 |
| DOI: |
10.33948/0584-029-002-006 |
| ISSN: |
1319-1578 |
| رقم MD: | 974099 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | science |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Non Concatenative Morphological Structure | Word Recoding And Processing | Lexical Storage And Access | Topological Alignment | Synchronisation | Self Organising Maps
|
| رابط المحتوى: |
| المستخلص: |
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. |
|---|---|
| ISSN: |
1319-1578 |
عناصر مشابهة
-
Enhancing Arabic Stemming Process Using Resources And Benchmarking Tools
بواسطة: Jaafar, Younes منشور: (2017) -
Ar TenTen: Arabic Corpus and Word Sketches
بواسطة: Arts, Tressy منشور: (2014) -
Towards A Standard Part Of Speech Tagset For The Arabic Language
بواسطة: Zeroual, Imad منشور: (2017) -
Toward An Enhanced Arabic Text Classification Using Cosine Similarity And Latent Semantic Indexing
بواسطة: Al-Anzi, Fawaz S. منشور: (2017) -
Rational Kernels for Arabic Root Extraction and Text Classification
بواسطة: Nehar, Attia منشور: (2016)
