Part-of-speech tagging in Marathi language is a very complex task as Marathi is highly inflectional in nature & free word order language. In this paper we have demonstrated a rule-based Part-of-Speech tagger for Marathi Language. The hand– constructed rules that are learned from corpus and some manual addition after studying the grammar of Marathi language are added and that are used for developing the tagger. Disambiguation is done by analyzing the linguistic feature of the word, its preceding word, its following word, etc. After testing the system with three data sets we got encouraging results. The accuracy of our system is of an average 78.82 % after testing it on three different data sets
Abstract — Parts of Speech Tagger (POS) also called, as grammatical tagging or word category disambi...
A Part-Of-Speech Tagger (POS Tagger) is a tool that scans the text in specific language and allocate...
Abstract. Part of Speech (POS) tagging is the task of labeling each word in a sentence with its appr...
A part of speech (POS) tagging is one of the most well studied problem in the field of Natural Langu...
Abstract- Part-of-Speech (POS) tagging is the process of assigning a part-of-speech like noun, verb,...
Part 1: Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT)International audiencePar...
Part 1: Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT)International audiencePar...
In this paper we present a Marathi part of speech tagger. It is a morphologically rich language. It ...
In this paper we present a Marathipart of speech tagger. It is morphologically rich language. it is ...
Abstract NLP is a sub-domain of artificial intelligence (AI) that focuses on how computers interact...
The objective of our project was to implement an automated Bangla Part-Of-Speech (POS) tagger. We co...
Part-of-Speech (POS) tagging can be described as a task of doing automatic annotation of syntactic c...
Part-of-Speech tagging is the process ofmarking up the words in a text as correspondingto a particul...
Machine translation is important application in natural language processing. Machine translation mea...
This paper describes the architecture of a Machine Translation System with source language as Englis...
Abstract — Parts of Speech Tagger (POS) also called, as grammatical tagging or word category disambi...
A Part-Of-Speech Tagger (POS Tagger) is a tool that scans the text in specific language and allocate...
Abstract. Part of Speech (POS) tagging is the task of labeling each word in a sentence with its appr...
A part of speech (POS) tagging is one of the most well studied problem in the field of Natural Langu...
Abstract- Part-of-Speech (POS) tagging is the process of assigning a part-of-speech like noun, verb,...
Part 1: Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT)International audiencePar...
Part 1: Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT)International audiencePar...
In this paper we present a Marathi part of speech tagger. It is a morphologically rich language. It ...
In this paper we present a Marathipart of speech tagger. It is morphologically rich language. it is ...
Abstract NLP is a sub-domain of artificial intelligence (AI) that focuses on how computers interact...
The objective of our project was to implement an automated Bangla Part-Of-Speech (POS) tagger. We co...
Part-of-Speech (POS) tagging can be described as a task of doing automatic annotation of syntactic c...
Part-of-Speech tagging is the process ofmarking up the words in a text as correspondingto a particul...
Machine translation is important application in natural language processing. Machine translation mea...
This paper describes the architecture of a Machine Translation System with source language as Englis...
Abstract — Parts of Speech Tagger (POS) also called, as grammatical tagging or word category disambi...
A Part-Of-Speech Tagger (POS Tagger) is a tool that scans the text in specific language and allocate...
Abstract. Part of Speech (POS) tagging is the task of labeling each word in a sentence with its appr...