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Big data language model tagged with POS - ARPA
No full textBig Data language model tagged with POS - ARP
PolEval 2019 Task 2: Lemmatization of proper names and multi-word phrases — training data
No full textThe task consists in developing a tool for lemmatization of proper names and multi-word phrases. The generated lemmas should follow the KPWr guidelines [https://clarin-pl.eu/dspace/handle/11321/625].
The training dataset contains XX documents from the KPWr corpus and an index of phrases with lemmas
EWBST tests for english
No full textSubmission contains test generated for EWBST test of English word embedding models.
Tests were created with princeton wordnet and plWN english synsts
Assamese Named Entities
No full textA list comprising of 104138 Assamese named entities was developed. The list also comprises of NEs which are categorized as Organization(সদৌ অসম ছাত্ৰ সন্থা), Person Names(পঙ্কজ), Festival(দুৰ্গা পূজা), Flower(গোলাপফুল), Folk Instruments(বাঁহী), Food habits(ভাত), Games(ঢোপ খেল), Honorific title(জয়াল), Measurement(যোগ), Place Name(তেজপুৰ), Plants(আঁহত গছ), Birds(ভাটৌ), Religious Places(পোৱা মক্কা), Tourist Places(কাজিৰঙা), Institution name(গুৱাহাটী বিশ্ববিদ্যালয়)
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1. These Assamese NLP resources including the Tools and Applications are developed
during Research and Development Projects as well as Masters and Ph.D. thesis
works.
2. These are mainly developed or generated at Gauhati University Department of
Computer Science and Department of Information Technology.
3. These resources are used by students and researchers for further studies, researches, as
well as for design and development of tools and applications.
4. Computational Linguistics in Assamese is not rich, and Natural Language Processing
works have mainly started during last two decades, and most of the resources are first
generation resources, and with ample scope for upgrading, enriching, and purifying.
5. These are very good and essential resources for all the researchers in Assamese NLP, as
the language requires more and more NLP works to make Assamese a rich media for
the digital world.
6. Anyone interested, or in need of such resources may express their interest for the
required resources, and the way of availability will be advised/informed accordingly.
7. These are purely research materials and could only be used for further research only.
8. Researchers may visit the NLP Lab of Department of Information Technology, Gauhati
University, Guwahati, India or contact us.
9. Researchers interested in collaborative works, and also students for project works, are
welcome.
10. Contact person is Professor Shikhar Kr. Sarma, Department of Information
Technology, Gauhati University, Guwahati 781014, Assam, India. Email-
[email protected]