K.Taraka Rama
OBH-156, IIIT-Hyderabad
Gachibowli, Hyderabad
500032, Andra Pradesh
India.
Contact: +91-09618723308
E-mail: taraka@students.iiit.ac.in
http://web.iiit.net/∼taraka
Education ⋄ International Institute of Information Technology, Hyderabad.
M.Tech in Computational Linguistics.
CGPA: 8.56/10
Thesis title: Cognate Identification and Phylogeny in Dravidian Languages
⋄ Dhirubai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat.
B.Tech in Information and Communication Technology, May 2007.
CGPA: 6.96/10
⋄ Narayana Junior College, Visakhapatnam, Andhra Pradesh.
Intermediate Board of Education, April 2003.
Percentage: 95.3%
⋄ St. Ann’s High School, Visakhapatnam, Andhra Pradesh.
ICSE, March 2001.
Percentage: 94.16%
Research
Interests
Cognate Identification, Modeling Language Change, Machine Transliteration, Speech Signal
Processing, Information Extraction.
Strengths
· Training in Computer Science and Linguistics and experience in applying Machine
Learning techniques to practical problems in Indian Languages.
Scholarships⋄ IIIT full Fellowship, from July 2007 to May 2009, to pursue M.Tech in Computational
and Awards Linguistics.
⋄ Was awarded Pratibha Scholarship (awarded by A.P State Government) for year 2001 and
2002.
⋄ Was awarded Gold Medal for standing first in ICSE examinations in the state of Andhra
Pradesh.
Work
⋄ Research Assistant, Language Technologies Research Centre, IIIT-Hyderabad( Since July
experience
2007 ).
Here I have worked in a wide range of topics in NLP. I have worked in Sentence Alignment,
Tokeniser, Statistical Machine Translation, Name Entity Transliteration, Letter to Phoneme
Conversion, Font Convertors for Indian Languages, Mining Parallel Copora for TeluguHindi.
Publications Anil Kumar Singh, Taraka Rama and Pradeep Dasigi A Computational Model of
the Phonetic Space and Its Applications Submitted for Review at Special Issue of
Machine Learning for NLP of Revue TAL
K.Taraka Rama
Anil Kumar Singh, Sethu Ramalingam and Taraka Rama Multilingual Transliteration and Crosslingual Information Retrieval : The Case of English to Indian
Languages Submitted for Review at Journal of Information Processing Management
Karthik Gali, Sriram Venkatapathy and Taraka Rama From Factorial to Quadratic
Time Complexity for Sentence Realization using Nearest Neighbour Algorithm
Accepted at STIL 2009, Brazil
Taraka Rama, Anil Kumar Singh From Bag of Languages to Family Trees From
Noisy Corpus Accepted at RANLP 2009, Borovets, Bulgaria
Taraka Rama, Karthik Gali Modeling Machine Transliteration as a Phrase Based
Statistical Machine Translation Problem Accepted at Proceedings of Named Entities
Workshop(NEWS), ACL-IJCNLP 2009, Singapore
Taraka Rama, Anil Kumar Singh and Sudheer Kolachina Modeling Letter to Phoneme
Conversion as a Phrase Based Statistical Machine Translation Problem with
Minimum Error Rate Training.
Accepted at NAACL HLT 2009 Student Research
Workshop, Colorado, USA
Taraka Rama, Karthik Gali and Avinesh PVS Does Syntactic Knowledge help EnglishHindi SMT ? Accepted at Procedings of the NLP Tools contest, ICON 2008.
Taraka Rama, Jagadeesh Gorla and Anil Kumar Singh. Experiments in Letter to
Phoneme Conversion Using Phrase Based Statistical Machine Translation and
Sequential Labeling Techniques. Accepted at 5th National Natural Language Processing
Research Symposium, Manila. Philippines.
Anil Kumar Singh, Taraka Rama, and Harshit Surana Semi-Automatic Annotation of
Heritage Texts and Study of Language Variation (The North Indian Context)
WORKSHOP ON INFORMATION ACCESS TO CULTURAL HERITAGE (ECDL 2008).
Research
projects
⋄ Automatic Identification of Relative Clauses in Telugu
Advisors: Prof. Lakshmi Bai.
⋄ A study of various sentence aligners for building parallel corpus for Indian Languages
(Telugu-Hindi)
Advisor: Prof. Dipti Mishra Sharma.
⋄ Identifying word origin in Hindi and Telugu
Advisors: Prof. Lakshmi Bai, Anil Kumar Singh.
⋄ Tuning a state-of-art SMT (Statistical Machine Translation) Toolkit MOSES for English Hindi Machine Translation
Advisor: V.Sriram.
Other
projects
⋄ Built a Morphological Analyser for Telugu verbs as a part of B.Tech Project with a fellow
student
Languages Used: Prolog.
Advisor: Prof. Ganesh Devy.
⋄ As part of a course project (Pattern Recognition) I have worked on Automatic Face Recognition.
Programming
⋄ C, Java, Prolog.
Langauges ⋄ Perl, MySQL, Sed, Awk.
⋄ Linux, MS-Windows.
⋄ Tools: Open NLP, WEKA, Stanford parser, SVM light and many other open source NLP
and Text mining tools.
K.Taraka Rama
Courses
Taken
⋄ Pattern Recognition, Speech Signal Processing, Language Typology, Historical Linguistics,
Natural Language Processing, Advanced Problem Solving.
Other
activities
⋄ I was a student volunteer at IJCNLP-2008, Hyderabad, India.