Manjira Sinha


2022

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Proceedings of the First Workshop on NLP in Agriculture and Livestock Management
Manjira Sinha | Tirthankar Dasgupta | Sanjay Chatterjee
Proceedings of the First Workshop on NLP in Agriculture and Livestock Management

2018

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Proceedings of the First International Workshop on Language Cognition and Computational Models
Manjira Sinha | Tirthankar Dasgupta
Proceedings of the First International Workshop on Language Cognition and Computational Models

2017

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Study on Visual Word Recognition in Bangla across Different Reader Groups
Manjira Sinha | Tirthankar Dasgupta
Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017)

2016

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Effect of Syntactic Features in Bangla Sentence Comprehension
Manjira Sinha | Tirthankar Dasgupta | Anupam Basu
Proceedings of the 13th International Conference on Natural Language Processing

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Cross-domain Text Classification with Multiple Domains and Disparate Label Sets
Himanshu Sharad Bhatt | Manjira Sinha | Shourya Roy
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2015

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Compositionality in Bangla Compound Verbs and their Processing in the Mental Lexicon
Tirthankar Dasgupta | Manjira Sinha | Anupam Basu
Proceedings of the 12th International Conference on Natural Language Processing

2014

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Design and Development of an Online Computational Framework to Facilitate Language Comprehension Research on Indian Languages
Manjira Sinha | Tirthankar Dasgupta | Anupam Basu
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

In this paper we have developed an open-source online computational framework that can be used by different research groups to conduct reading researches on Indian language texts. The framework can be used to develop a large annotated Indian language text comprehension data from different user based experiments. The novelty in this framework lies in the fact that it brings different empirical data-collection techniques for text comprehension under one roof. The framework has been customized specifically to address language particularities for Indian languages. It will also offer many types of automatic analysis on the data at different levels such as full text, sentence and word level. To address the subjectivity of text difficulty perception, the framework allows to capture user background against multiple factors. The assimilated data can be automatically cross referenced against varying strata of readers.

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Text Readability in Hindi: A Comparative Study of Feature Performances Using Support Vectors
Manjira Sinha | Tirthankar Dasgupta | Anupam Basu
Proceedings of the 11th International Conference on Natural Language Processing

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Influence of Target Reader Background and Text Features on Text Readability in Bangla: A Computational Approach
Manjira Sinha | Tirthankar Dasgupta | Anupam Basu
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers

2012

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Modelling the Organization and Processing of Bangla Polymorphemic Words in the Mental Lexicon: A Computational Approach
Tirthankar Dasgupta | Manjira Sinha | Anupam Basu
Proceedings of COLING 2012: Posters

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New Readability Measures for Bangla and Hindi Texts
Manjira Sinha | Sakshi Sharma | Tirthankar Dasgupta | Anupam Basu
Proceedings of COLING 2012: Posters

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Forward Transliteration of Dzongkha Text to Braille
Tirthankar Dasgupta | Manjira Sinha | Anupam Basu
Proceedings of the Second Workshop on Advances in Text Input Methods

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Automatic Extraction of Compound Verbs from Bangla Corpora
Sibanshu Mukhopadhayay | Tirthankar Dasgupta | Manjira Sinha | Anupam Basu
Proceedings of the 3rd Workshop on South and Southeast Asian Natural Language Processing

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A New Semantic Lexicon and Similarity Measure in Bangla
Manjira Sinha | Abhik Jana | Tirthankar Dasgupta | Anupam Basu
Proceedings of the 3rd Workshop on Cognitive Aspects of the Lexicon