01-28-2004, 04:16 PM
Sanskrit Optical Character Recognition Research at University of Buffalo , NY
> UB researchers, versed in Sanskrit and computer science, develop tools to
> bridge the digital divide
>
> Software will boost Web access to Indian-language documents
>
> So, you think searching for things in English on the Internet is
> frustrating?
>
> Well, try searching for documents written in ancient Sanskrit, modern
Hindi
> and any of dozens of Indian and South Asian languages that are based on
the
> beautiful, intricate symbols of the Devanagari script.
>
> The ability to put this valuable content online from printed sources in
> Devanagari, requires optical character recognition (OCR), the tool
necessary
> to turn any text document into a digital one.
>
> "The lack of a good OCR for Devanagari has made it very difficult to make
> available on the Web the vast majority of Devanagari documents," said Venu
> Govindaraju, Ph.D., associate director of the University at Buffalo's
Center
> of Excellence in Document Analysis and Recognition (CEDAR) and UB
professor
> of computer science and engineering.
>
> Now, with funding from the National Science Foundation, Govindaraju and
his
> UB colleagues are taking a major step toward boosting online access to
these
> documents.
>
> The UB researchers happen to share not only expertise in machine-print and
> handwriting recognition, but also a rare passion for -- and fluency in --
> Sanskrit and other Indian languages.
>
> Their project, funded under a $487,000 grant from the National Science
> Foundation's International Digital Libraries initiative, endeavors to make
> Devanagari documents, ranging from ancient Sanskrit masterpieces, such as
> the Bhagavadgita and the Vedas, to contemporary documents in Hindu,
Marathi
> and other Indian languages, easily accessible on the Web.
>
> The researchers, based at CEDAR, have created a software tool that is the
> first step in developing OCR for Devanagari, ultimately allowing documents
> in these scripts to be widely searchable on the Web.
>
> It will be presented by Govindaraju, who is the principal investigator, on
> March 11 at the 13th International Workshop on Research Issues on Data
> Engineering in Hyderabad, India.
>
> The UB researchers expect to make it available for free on the Web by the
> end of March.
>
> "We are developing machine technologies to read Devanagari documents,
> whether they are contemporary documents written in Hindi or ancient
> documents that were handwritten on palm leaves," said Govindaraju.
>
> The project, which involves collaboration with the Indian Statistical
> Institute in Kolkata, one of India's premier research institutions, takes
an
> important step toward bridging the digital divide between the developed
> world and some developing nations, according to the UB researchers.
>
> "The half-billion people around the world whose main language is Hindi, or
> based on Devanagari, are totally missing out on the 'information
> revolution,'" said Govindaraju. "In IT, the native languages all have
taken
> a back seat."
>
> While Sanskrit has been considered a "dead" language, he noted that in his
> native India a movement to revive it both in written and spoken forms has
> been gaining ground and in certain regions, schools are including Sanskrit
> in their curricula.
>
> He and his UB colleagues on the project are among those in the U.S. who
have
> rediscovered the language; they teach Sanskrit to their own children and
> hold classes in it at the Hindu Cultural Society of Western New York.
>
> "The Indian civilization is 5,000 years old," said Govindaraju. "So there
> are many, many documents written in Devanagari script, but if we want to
> include them in a digital library in order to preserve access to them, we
> need to develop software that recognizes the script."
>
> OCR, the UB researchers explain, essentially "trains" the computer to
> correctly interpret the images of a particular alphabet based on "truthed"
> data, that is, numerous scanned images of characters or words and their
> interpretation recorded by humans who have visually examined the original
> images.
>
> About 15 years ago, UB's CEDAR, the largest research center in the world
> devoted to developing new technologies that can recognize and read
> handwriting, developed the first comprehensive OCR for handwritten
documents
> in English.
>
> That turned out to be a milestone, spurring numerous new research projects
> into handwriting recognition that led to some of the applications now
taken
> for granted, such as personal digital assistants.
>
> "Similarly, we are expecting that the development of benchmarked OCR for
> Devanagari will trigger a groundswell of research in machine-reading
> technologies for these Indian languages," said Govindaraju.
>
> To develop benchmarked OCRs, the UB researchers have constructed a dataset
> of 400 pages of Hindi and Sanskrit documents from books and periodicals,
> both ancient and contemporary, that is representative of the huge variety
of
> documents available in these languages.
>
> The researchers have used the tool they developed to record information
> about these documents that indicate how OCR for Devanagari should
interpret
> each word. The researchers also plan to develop character databases and
> on-line dictionaries, text corpora and other tools for linguistic analysis
> that will be invaluable to the OCR community.
>
> "The availability of our truthing and evaluation tool together with the
> availability of new truthed Devanagari data, will spur greater research in
> the development of Devanagari OCR," said Srirangaraj Setlur, Ph.D., senior
> research scientist at UB's CEDAR and co-investigator.
>
> Vemulapati Ramanaprasad, Ph.D., senior research scientist at UB's CEDAR,
> also is co-investigator.
>
> In the future, the UB researchers plan to extend the scope of this tool to
> include OCR evaluation for other Indian languages such as Kannada,
> Malayalam, Tamil and Telugu, that do not use the Devanagari script, as
well
> for as Arabic and Urdu.
>
> Contact: Ellen Goldbaum, goldbaum@b...
> Phone: 716-645-5000 ext 1415
> Fax: 716-645-3765
> UB researchers, versed in Sanskrit and computer science, develop tools to
> bridge the digital divide
>
> Software will boost Web access to Indian-language documents
>
> So, you think searching for things in English on the Internet is
> frustrating?
>
> Well, try searching for documents written in ancient Sanskrit, modern
Hindi
> and any of dozens of Indian and South Asian languages that are based on
the
> beautiful, intricate symbols of the Devanagari script.
>
> The ability to put this valuable content online from printed sources in
> Devanagari, requires optical character recognition (OCR), the tool
necessary
> to turn any text document into a digital one.
>
> "The lack of a good OCR for Devanagari has made it very difficult to make
> available on the Web the vast majority of Devanagari documents," said Venu
> Govindaraju, Ph.D., associate director of the University at Buffalo's
Center
> of Excellence in Document Analysis and Recognition (CEDAR) and UB
professor
> of computer science and engineering.
>
> Now, with funding from the National Science Foundation, Govindaraju and
his
> UB colleagues are taking a major step toward boosting online access to
these
> documents.
>
> The UB researchers happen to share not only expertise in machine-print and
> handwriting recognition, but also a rare passion for -- and fluency in --
> Sanskrit and other Indian languages.
>
> Their project, funded under a $487,000 grant from the National Science
> Foundation's International Digital Libraries initiative, endeavors to make
> Devanagari documents, ranging from ancient Sanskrit masterpieces, such as
> the Bhagavadgita and the Vedas, to contemporary documents in Hindu,
Marathi
> and other Indian languages, easily accessible on the Web.
>
> The researchers, based at CEDAR, have created a software tool that is the
> first step in developing OCR for Devanagari, ultimately allowing documents
> in these scripts to be widely searchable on the Web.
>
> It will be presented by Govindaraju, who is the principal investigator, on
> March 11 at the 13th International Workshop on Research Issues on Data
> Engineering in Hyderabad, India.
>
> The UB researchers expect to make it available for free on the Web by the
> end of March.
>
> "We are developing machine technologies to read Devanagari documents,
> whether they are contemporary documents written in Hindi or ancient
> documents that were handwritten on palm leaves," said Govindaraju.
>
> The project, which involves collaboration with the Indian Statistical
> Institute in Kolkata, one of India's premier research institutions, takes
an
> important step toward bridging the digital divide between the developed
> world and some developing nations, according to the UB researchers.
>
> "The half-billion people around the world whose main language is Hindi, or
> based on Devanagari, are totally missing out on the 'information
> revolution,'" said Govindaraju. "In IT, the native languages all have
taken
> a back seat."
>
> While Sanskrit has been considered a "dead" language, he noted that in his
> native India a movement to revive it both in written and spoken forms has
> been gaining ground and in certain regions, schools are including Sanskrit
> in their curricula.
>
> He and his UB colleagues on the project are among those in the U.S. who
have
> rediscovered the language; they teach Sanskrit to their own children and
> hold classes in it at the Hindu Cultural Society of Western New York.
>
> "The Indian civilization is 5,000 years old," said Govindaraju. "So there
> are many, many documents written in Devanagari script, but if we want to
> include them in a digital library in order to preserve access to them, we
> need to develop software that recognizes the script."
>
> OCR, the UB researchers explain, essentially "trains" the computer to
> correctly interpret the images of a particular alphabet based on "truthed"
> data, that is, numerous scanned images of characters or words and their
> interpretation recorded by humans who have visually examined the original
> images.
>
> About 15 years ago, UB's CEDAR, the largest research center in the world
> devoted to developing new technologies that can recognize and read
> handwriting, developed the first comprehensive OCR for handwritten
documents
> in English.
>
> That turned out to be a milestone, spurring numerous new research projects
> into handwriting recognition that led to some of the applications now
taken
> for granted, such as personal digital assistants.
>
> "Similarly, we are expecting that the development of benchmarked OCR for
> Devanagari will trigger a groundswell of research in machine-reading
> technologies for these Indian languages," said Govindaraju.
>
> To develop benchmarked OCRs, the UB researchers have constructed a dataset
> of 400 pages of Hindi and Sanskrit documents from books and periodicals,
> both ancient and contemporary, that is representative of the huge variety
of
> documents available in these languages.
>
> The researchers have used the tool they developed to record information
> about these documents that indicate how OCR for Devanagari should
interpret
> each word. The researchers also plan to develop character databases and
> on-line dictionaries, text corpora and other tools for linguistic analysis
> that will be invaluable to the OCR community.
>
> "The availability of our truthing and evaluation tool together with the
> availability of new truthed Devanagari data, will spur greater research in
> the development of Devanagari OCR," said Srirangaraj Setlur, Ph.D., senior
> research scientist at UB's CEDAR and co-investigator.
>
> Vemulapati Ramanaprasad, Ph.D., senior research scientist at UB's CEDAR,
> also is co-investigator.
>
> In the future, the UB researchers plan to extend the scope of this tool to
> include OCR evaluation for other Indian languages such as Kannada,
> Malayalam, Tamil and Telugu, that do not use the Devanagari script, as
well
> for as Arabic and Urdu.
>
> Contact: Ellen Goldbaum, goldbaum@b...
> Phone: 716-645-5000 ext 1415
> Fax: 716-645-3765