A Machine Learning Approach to Indian Native Language Identification

[4] introduced a camera model identification method using 28 features related to statistical moments and correlations of the linear pattern.. Gloe

Automatic Sign Language annotation, in terms of glosses, using a linguistic description of signs adapted to computer vision features through sign language generation.. We propose

We then provide a general methodology for analyzing, synthesizing, and evaluating signed language gestures, where different sensory data are used to extract linguistic features

• Keywords: automatic conversation understanding, automatic summarization, natural language processing, deep learning, representation learning, machine learning, evaluation..

Bharathi et.al .”Statistical testing based feature selection for Native Language Iden- tification”,In Working notes of FIRE 2018 - Forum for Information Retrieval

Native Language Identification (NLI) is the task of classifying the native lan- guage (L1) of an individual into given different languages based on his/her writ- ing in another

In this paper, we propose to use Hyperdimensional Computing (HDC) as supervised learning for identifying Indian Native Languages from the user’s social media comments written

Second ensemble also consists of same four classifiers but were trained on feature set 2, which had term frequency inverse document frequency features computed using noun chunk and