Now a day, the importance of a large annotated corpus for NLP researchers is widely known. In this paper, we describe an initial phase of developing a linguistically annotated corpus for non-configurational ‘Bangla’ language. ...

This report discusses the theory and implementation of an Optical Character Recognition (OCR) for Bangla. The principal idea is to convert images of text documents such as those obtained from scanning a document into ...

In this paper, we present a Text to Speech (TTS) synthesis system for Bangla language using the opensource Festival TTS engine. Festival is a complete TTS synthesis system, with components supporting front-end processing ...

The wide area of the application of HMM is in Speech Recognition where each spoken word is considered as a single unit to be recognized from the trained word network. Using this concept some research has been done for ...

We describe the initial design of Bangla WordNet (BWN), based on the English WordNet 2.2 distribution from Princeton University. Our goal is to develop a 5,000 entry Bangla WordNet over the next two years. At present, we ...

This paper addresses the issue of automatic Bangla corpus creation, which will significantly help the processes of Lexicon development, Morphological Analysis, Automatic Parts of Speech Detection and Automatic grammar ...

This report describes the initial translations of gTLDs and ccTLDs in Bengali, along with the challenges faced in creating the translations.

We describe some of the challenges in developing English-Bangla parallel corpora, and look some of the established processes used by other language corpora for solutions to some of these challenges.

Stemming is an operation that splits a word into the constituent root part and affix without doing complete morphological analysis. It is used to improve the performance of spelling checkers and information retrieval ...

Part-of-Speech (POS) Tagging is a process that attaches each word in a sentence with a suitable tag from a given set of tags. POS Tagging is important in various areas of Natural Language Processing. Different methods of ...