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Under the Indian Languages Corpora Initiative (ILCI) project initiated by the MeitY, Govt. of India, Jawaharlal Nehru University, New Delhi had collected corpus in Hindi as source language and translated it in Bodo as the target language. There are 70,000 sentences, including Health, Tourism, Agriculture and Entertainment domain in this corpus. This corpus has a unique sentence ID for each sentence, UTF-8 encoding, and text file format. The translated sentences have been POS tagged and Chunked properly. The chunking guideline used in this corpus creation, is provided in supporting document.

Added on April 26, 2019

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  • Contributed by : ILCI Consortium, JNU
  • Product Type : Text Corpora
  • License Type : Research
  • System Requirement : Not Applicable

Under the Indian Languages Corpora Initiative (ILCI) project initiated by the MeitY, Govt. of India, Jawaharlal Nehru University, New Delhi had collected corpus in Hindi as source language and translated it in English as the target language. There are 70,000 sentences, including Health, Tourism, Agriculture and Entertainment domain in this corpus. This corpus has a unique sentence ID for each sentence, UTF-8 encoding, and text file format. The translated sentences have been POS tagged and Chunked properly. The chunking guideline is provided in supporting document.

Last updated on April 29, 2019

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55

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  • Contributed by : ILCI Consortium, JNU
  • Product Type : Text Corpora
  • License Type : Research
  • System Requirement : Not Applicable

Under the Indian Languages Corpora Initiative phase –II (ILCI Phase-II) project, initiated by the MeitY, Govt. of India, Jawaharlal Nehru University, New Delhi had collected Gujarati monolingual text corpus. There are approx. 30,000 sentences of general domain in this corpus. These sentences have been POS tagged and Chunked properly. The chunking guideline is provided in supporting document. This corpus has following features: unique ID, UTF-8 encoding, and text file format.

Added on April 23, 2019

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16

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  • Contributed by : ILCI Consortium, JNU
  • Product Type : Text Corpora
  • License Type : Research
  • System Requirement : Not Applicable

Under the Indian Languages Corpora Initiative (ILCI) project initiated by the MeitY, Govt. of India, Jawaharlal Nehru University, New Delhi had collected corpus in Hindi as source language and translated it in Gujarati as target language. There are 70,000 sentences including Health, Tourism, Agriculture and Entertainment domain in this corpus. Each sentence has a unique ID. The translated sentences have been POS tagged and Chunked properly. The chunking guideline is provided in supporting document.

Last updated on April 23, 2019

3
14

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  • Contributed by : ILCI Consortium, JNU
  • Product Type : Text Corpora
  • License Type : Research
  • System Requirement : Not Applicable

We show an effective way of adding context information to shallow neural language models. We propose to use Subspace Multinomial Model (SMM) for context modeling and we add the extracted i-vectors in a computationally efficient way. By adding this information, we shrink the gap between shallow feed-forward network and an LSTM from 65 to 31 points of perplexity on the Wikitext-2 corpus (in the case of neural 5-gram model). Furthermore, we show that SMM i-vectors are suitable for domain adaptation and a very small amount of adaptation data (e.g. endmost 5% of a Wikipedia article) brings a substantial improvement. Our proposed changes are compatible
with most optimization techniques used for shallow feedforward LMs.

Added on December 19, 2018

350

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  • Contributed by : Individual
  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : Karel Benes,Santosh Kesiraju,Lukas Burget