RM Sinha - Proceedings of the workshop on multiword …, 2011 - aclanthology.org
Multi-word expressions (MWEs) play an important role in all tasks that involve natural language processing. MWEs in Hindi are quite varied and many of these are of the types …
V Dwivedi, S Ghosh - International Journal of Information Technology, 2023 - Springer
The present work outlines the result of Hindi compound noun interpretation using embedding features. The BERT embedding and word2vec embeddings are used to …
TD Singh, S Bandyopadhyay - … of the 1st workshop on South and …, 2010 - aclanthology.org
A web based Manipuri corpus is developed for identification of reduplicated multiword expression (MWE) and multiword named entity recognition (NER). Manipuri is one of the …
Abstract Detection of Multiword Expressions (MWEs) is a challenging problem faced by several natural language processing applications. The difficulty emanates from the task of …
Multiword Expressions are crucial for any Natural Language Processing task as they frequently occur in any natural language. In addition, they “display a continuum of …
S Agrawal, R Sanyal, S Sanyal - Int. J. Eng. Technol, 2018 - researchgate.net
A three phase hybrid method for automatic extraction of English multiword expressions (MWEs) has been proposed. The proposed method is based on linguistic patterns …
JR Saini, H Gaikwad - SN Computer Science, 2023 - Springer
The linguistic tools are essential for any language. A linguistic tool could be Parts of Speech Tagger (POST), Grammar Checker (GC), Alankaar Finder (AF), and Identification of Multi …
Abstract Multiword Expressions (MWEs) are used frequently in natural languages, but understanding the diversity in MWEs is one of the open problem in the area of Natural …
V Gayen, K Sarkar - arXiv preprint arXiv:1401.6567, 2014 - arxiv.org
This paper presents a machine learning approach for identification of Bengali multiword expressions (MWE) which are bigram nominal compounds. Our proposed approach has two …