material ID: bengali

Related Papers

Detection and Correction of Phonetic Errors with a New Orthographic Dictionary

Authors: nan

Publication: TIPSTER (2000)

DOI: nan

The Phonetic and the Homophone Error problem in a language have been characterized as a symbol substitution problem. Phonetically equivalent symbols or symbol combinations in the language are grouped together. …...

18190

Voted Approach for Part of Speech Tagging in Bengali

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

. Part of Speech (POS) tagging is the task of labeling each word in a sentence with its appropriate syntactic category called part of speech. POS tagging is a very …...

19359

Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

Annotation projection based on parallel cor- pora has shown great promise in inexpensively creating Proposition Banks for languages for which high-quality parallel corpora and syn- tactic parsers are available. In …...

33623

TTS for Low Resource Languages: A Bangla Synthesizer

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractWe present a text-to-speech (TTS) system designed for the dialect of Bengali spoken in Bangladesh. This work is part of an ongoing effort to address the needs of under-resourced languages. …...

16080

A Multilingual Parallel Corpora Collection Effort for Indian Languages

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe present sentence aligned parallel corpora across 10 Indian Languages - Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English - many of which are categorized as …...

14615

Challenge Dataset of Cognates and False Friend Pairs from Indian Languages

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractCognates are present in multiple variants of the same text across different languages (e.g., “hund” in German and “hound” in the English language mean “dog”). They pose a challenge to …...

14808

IndicSpeech: Text-to-Speech Corpus for Indian Languages

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIndia is a country where several tens of languages are spoken by over a billion strong population. Text-to-speech systems for such languages will thus be extremely beneficial for wide-spread content …...

14052

Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractDespite being the seventh most widely spoken language in the world, Bengali has received much less attention in machine translation literature due to being low in resources. Most publicly available …...

30680

Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathi

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractThe widespread presence of offensive language on social media motivated the development of systems capable of recognizing such content automatically. Apart from a few notable exceptions, most research on automatic …...

20294

HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

Understanding linguistics and morphology of resource-scarce code-mixed texts remains a key challenge in text processing. Although word embedding comes in handy to support downstream tasks for low-resource languages, there are …...

33775

CNN for Modeling Sanskrit Originated Bengali and Hindi Language

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThough recent works have focused on modeling high resource languages, the area is still unexplored for low resource languages like Bengali and Hindi. We propose an end to end trainable …...

646