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Tamil Onto-thesaurus is an outcome of a very long research activity that went on in the field of lexical semantics of Tamil vocabulary. It went through several stages before being culminated into Tamil onto-thesaurus. It depicts our travel from Tamil thesaurus to Tamil word net. It is a lexical resource which amalgamates all sorts of information available in a dictionary, thesaurus and wordNet. The Dravidian wordNets (in which Tamil wordNet is one of the four components) built under the IndoWordNet project depends on an ontology developed by western conceptualization of vocabularies of a language i.e. English). This has not taken into consideration the Indian conceptualization of vocabulary depicted in the nikhandu tradition. Say for examples, nikhandus have classifications such a six types of tastes, nine types of planets (gragams), 7 types of mandalams (a type of division), 15 tidis (15 phases of moon), etc which are crucial for Indian tradition. In the western oriented WordNet ontology there is no scope for the visualization of concepts depicted in nikhandus. More over building a wordNet based on Hindi wordNet which in turn is built on English wordNet will take many years to complete and it would miss the conceptualization depicted in Indian tradition. The present onto-thesaurus is based on the Indian conceptualization of vocabulary and the process of building one is very simple. We have the plan to make it into a generic one so that all the Dravidian languages can be easily accommodated into it.
The main objective of the project entitled WORDNET FOR TAMIL is to capture the network of lexical relations between lexical items in Tamil. As we know, lexical items are related to one another in the hierarchical dimension as taxonomies (which show hyponymy-hypernymy and meronymy-holonymy relationship) and non-hierarchical dimension as opposites (which include complementaries, antonyms, antipodals, counterparts, reversives and converses) and synonyms. Also words are related to one another due to their derivational as well as collocational meaning. Componential analysis which studies meanings of lexical items in terms of meaning components or features can help us to capture the above mentioned net work of relations in a more systematic way. A database has to be created depicting the lexical items and their meaning relations such as hyponymy-hypernymy (subordination-superordination relationship), meronymy-holonymy (part-whole relationship), synonymy and lexical opposition and the formal relations such as derivation and collocation. Programs have to be written to capture the net work of relations existing between the lexical items and a user friendly interface has be set up to make use of the Word Net for various purposes. Such a study can be made use of for various lexical studies as well as application oriented studies like machine translation (in which word-disambiguation is a crucial issue), and machine oriented language learning and teaching.
A WordNet plays an important role both in the development of NLP applications such as a Machine Translation system and a Question-Answering system as well as for lexical studies of a language. While Wordnets have been compiled for most of the European languages, these resources do not exist for Indian languages. This paper presents the lexicographic and computational issues faced in an attempt to build a ‘Tamil WordNet’. A working model will be ready at the time of presenting the paper.
Tamil Visual Onto-thesaurus (TVOT or simply VOT) is an outcome of an extensive research activity that went on in the field of lexical semantics of Tamil. It went through several stages before being culminated into Tamil visual onto-thesaurus. It depicts our travel from Tamil thesaurus to Tamil word net. It is a lexical resource which amalgamates all sorts of information available in a dictionary, thesaurus and wordNet. The Dravidian wordNets (in which Tamil wordNet is one of the four components) built under the IndoWordNet project depended on an ontology developed by Western conceptualization of the world found in English). This has not taken into consideration the Indian conceptualization of the world depicted in the nikhandu tradition. Say for examples, nikhandus have classifications such a six types of tastes, nine types of planets (gragams), 7 types of mandalams (a type of division), 15 tidis (15 phases of moon), etc. which are crucial for Indian tradition. In the western oriented WordNet ontology there is no scope for the visualization of concepts depicted in nikhandus. Moreover building a wordNet based on Hindi wordNet which in turn is built on English wordNet will take many years to complete and it would miss the conceptualization depicted in Indian tradition. Apart from this the extension approach of building Tamil wordNet using Hindi wordNet cannot fulfill Dravidian conceptualization. A merger approach of building separate wordNets and collapsing them into one would have been a preferable approach. The present visual onto-thesaurus is based on the Indian and Dravidian conceptualization and the process of building one is comparatively very simple. We have the plan to mend it into a generic one so that all the Dravidian languages can be easily accommodated into it.
This paper attempts to emphasize the need for a standalone and independent Dravidian WordNet. Since the morphology and lexical concepts of Dravidian languages are closer to each other than to a language from a different family, it is proposed to base the Dravidian WordNet on a Dravidian Language. A signifi-cant amount of work has already been done in Tamil language to understand the ontological structure and vocabulary. Based on the find-ings of these studies, it is proposed to build a Tamil WordNet first and then extend it to complete the Dravidian WordNet. A prototype model for the Tamil WordNet is also proposed in this paper.
2018
Introduction The WordNet is a lexical resource. It is lexicon based on psycholinguistics principles. It organizes the lexical information in terms of word meanings. It is a system for bringing together different lexical and semantic relations between words. The WordNet is being developed using the expansion approach with the help of tools provided by IIT Bombay. Malayalam wordNet is a part of Dravidian wordNet which in turn is a part of Indo wordNet. Malayalam WordNet is being built in Centre for Excellence in Computational Engineering and Network, Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu. In a language, a word may appear in more than one grammatical categories and within that grammatical category it can have multiple senses. These categories and all senses are captured in the WordNet. WordNet supports the grammatical categories namely Nouns, Verbs, Adjectives and Adverbs. All words which depict the same sense (same meaning) are grouped together to form a single entry in the WordNet. This forms synonym set or synset. Synsets are the basic building blocks of WordNet. For each word can there is a synonym set, or synset in the WordNet representing one lexical concept. This is done to remove ambiguity in cases where a single word has multiple meanings. 1. Relations in WordNet A WordNet is a word sense network. A word sense node in this network is a synset which is regarded as a basic object in the WordNet. Each synset in the WordNet is linked with other synsets through the well-known lexical and semantic relations of hypernymy, hyponymy, meronymy, troponymy, antonymy, entailment etc. Semantic relations are between synsets and lexical relations are between words. These relations serve to organize the lexical knowledge base. 2. Nouns in Wordnet Nouns are organized in a lexical inheritance system. A typical definition of a noun contains a superordinate term followed by certain distinguishing features. The relation of subordination (or class inclusion or subsumption), which is called hyponymy organizes nouns into a lexical hierarchy. The superordinate relation generates a hierarchical semantic organization of nouns. Synset which contains a group of synonyms representing a concept is the building blocks of noun wordNet. Synonymy is a lexical relation that holds between word forms, whereas the semantic relation holds between lexicalized concepts. The hierarchical structuring of nouns can be assumed to be contained in a single hierarchy. Instead, WordNet divides the nouns into several hierarchies, each with a different unique beginner. The semantic fields or domains (Lehrar 1974) which contain their own stock of vocabulary can be equated with these multiple hierarchies. Unique beginner corresponds roughly to a primitive semantic component in a compositional theory of lexical semantics. There is a list of 25 unique beginners for noun source files of EuroWordNet (Vossen 1998): {act, activity} {animal, fauna}{artifact}{attribute} {body} {cognition, knowledge}{communication}{event, happening}{feeling, emotion}{food}{group, grouping}{location}{motivation, motive}{natural object}{natural phenomenon}{person, human being} {plant, flora}{possession}{process}{quantity, amount}{relation}{shape}{state}{substance}{time}
2008
Sanskrit has a rich source of lexical resources in the form of various kinds of dictionaries, and a thesaurus in the form of Amarakosa. Further the rich derivational morphology provides various kinds of relations between the derived words with their head words. With the advent of computational technology now it is possible to build tools that can help a serious reader of Sanskrit to navigate through various words passing through different linkages the word has, to get a holistic view of the meaning of a word, provided such a network exists.
Pubmedia Jurnal Penelitian Tindakan Kelas Indonesia, 2024
Kegiatan penelitian dalam dunia pendidikan (di sekolah) merupakan hal wajib untuk dilakukan oleh setiap guru. Tujuan penelitian ini untuk merepresentasikan metode penelitian tindakan kelas (PTK) sebagai panduan praktis untuk guru di institusi pendidikan (sekolah). Desain penelitian menggunakan metode Systematic Literature review (SLR). Penelitian ini dilaksanakan pada tahun 2024, objek penelitian ini yaitu metode penelitian tindakan kelas (konsep teori dan praktik). Data-data yang dipilih dalam pengumpulan data yaitu data yang memiliki relevansi dengan objek penelitian yaitu hasil-hasil penelitian tentang metode penelitian tindakan kelas. Prosedur SLR dilaksanakan melalui delapan tahap, meliputi (1) perencanaan; (2) identifikasi literatur; (3) seleksi dan penyaringan; (4) evaluasi kualitas; (5) ekstraksi data; 6) analisis dan sintesis; (7) penyusunan laporan. Hasil dan kesimpulan penelitian mengungkap paradigma penelitian tindakan kelas (PTK) didasarkan pada konsep teoretis-operasional penelitian tindakan. Penelitian tindakan kelas bertujuan untuk memperbaiki kinerja profesional guru. Implikasi hasil penelitian ini dapat dijadikan sebagai bahan pengayaan dan sumber informasi pengetahuan bagi guru di sekolah dan para akademisi, serta sebagai bahan pertimbangan dan referensi baik secara teoretik maupun praktik bagi para guru dan mahasiswa terkait dengan metode penelitian tindakan kelas.
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