Social Computing for Linguistics & Linguistics for Social Computing

zulu  semanti complex bangla Social Computing for Linguistics & Linguistics for Social Computing network POS syntax model edge DD NLP node @  lexica  evolution learning PA word Monojit Choudhury Microsoft Research India monojitc@microsoft.com

SoC for Linguistics SoC platforms for linguistic experiments; SoC Models for linguistic theories zulu  semanti complex bangla network POS syntax model edge DD NLP node @  lexica  evolution learning PA word Language is shaped by social interaction patterns; emails, blogs, sms, queries – CMC’s Linguistics for SoC

SoC for Linguistics SoC platforms for linguistic experiments; SoC Models for linguistic theories Web Search Queries as an Emerging Language zulu  semanti complex bangla network POS syntax model edge DD NLP node @  lexica  evolution learning PA word Language is shaped by social interaction patterns; emails, blogs, sms, queries – CMC’s Linguistics for SoC

SoC for Linguistics SoC platforms for linguistic experiments; SoC Models for linguistic theories Web Search Queries as an Emerging Language zulu  semanti complex bangla network POS syntax model edge DD NLP node @  lexica  evolution learning PA word Mean length of queries  Language is shaped by social interaction patterns; emails, blogs, sms, queries – CMC’s Linguistics for SoC

SoC for Linguistics SoC platforms for linguistic experiments; SoC Models for linguistic theories Web Search Queries as an Emerging Language zulu  Unsupervised segmentation semanti complex bangla Basic units network POS syntax model edge DD NLP node Taxonomy of Function units @ Distributional Patterns  lexica  evolution learning PA word Queries are difficult to interpret Word co-occurrence Network Language is shaped by social interaction patterns; emails, blogs, sms, queries – CMC’s Linguistics for SoC Search expertise  language acquisition User Behavior Studies

SoC for Linguistics SoC platforms for linguistic experiments; SoC Models for linguistic theories Web Search Queries as an Emerging Language zulu  semanti complex bangla network POS syntax model edge DD NLP node @  lexica  evolution learning PA word Web Search Queries are an evolving Protolanguage • Collaborators: Rishiraj Saha Roy & Niloy Ganguly (IIT Kharagpur), • Srivatsan Laxman & Kalika Bali (MSR India)

SoC for Linguistics SoC platforms for linguistic experiments; SoC Models for linguistic theories Use of Indian languages on online social media zulu  semanti complex bangla network Transliteration POS syntax model edge DD NLP node @  lexica  Spelling Change evolution learning PA word Code mixing Language is shaped by social interaction patterns; emails, blogs, sms, queries – CMC’s Linguistics for SoC Indian English • Collaborators: Kalika Bali & Nimmi Rangaswamy (MSR India)

SoC for Linguistics SoC platforms for linguistic experiments; SoC Models for linguistic theories CodeGambler is an OSN Game to study the population-level emergence of categorization of a continuous space (colors) into discrete category terms (color names) zulu  semanti complex bangla network POS syntax model edge DD NLP node @  lexica  evolution learning PA word Language is shaped by social interaction patterns; emails, blogs, sms, queries – CMC’s Linguistics for SoC Sociolinguistic Experiments OSN Games with a Purpose Collaborators: Animesh Mukherjee (IIT Kgp), Vittorio Loreto, (University of Rome)

SoC for Linguistics SoC platforms for linguistic experiments; SoC Models for linguistic theories Flat segmentation (queries and sentences) zulu  semanti complex bangla network POS syntax model edge DD NLP node @ Nested segmentation  lexica  evolution learning PA word Language is shaped by social interaction patterns; emails, blogs, sms, queries – CMC’s Linguistics for SoC Sociolinguistic Experiments Crowdsourcing for data

SoC for Linguistics SoC platforms for linguistic experiments; SoC Models for linguistic theories Small world distinct Two-regime power law degree distribution zulu neighboring  semanti complex bangla structure network interacting POS syntax model Kernel-Periphery structure edge DD NLP node @  lexica  evolution learning PA word word Low rank web Language is shaped by social interaction patterns; emails, blogs, sms, queries – CMC’s Linguistics for SoC SoC inspired Linguistic Theory Word Co-occurrence Network evolving sentences treat • Collaborators: Animesh, Niloy (IIT Kgp), Chris Biemann (University of Darmstadt), Ravi Kannan (MSR India) in such language can complex a human is as network

WCN of Bollywood Lyrics is a very small world with a tiny kernel. Learn 1000 Hindi words and you will understand every Bollywood song! zulu  semanti complex bangla network POS syntax model edge DD NLP node @  lexica  evolution learning PA word Language is shaped by social interaction patterns; emails, blogs, sms, queries – CMC’s Linguistics for SoC SoC inspired Linguistic Theory Word Co-occurrence Network • Collaborators: Animesh, Niloy (IIT Kgp), Chris Biemann (University of Darmstadt), Ravi Kannan (MSR India)

WCN of Web search queries is not (yet) small world! It has a tiny kernel but very large periphery zulu  semanti complex bangla network POS syntax model edge DD NLP node @  lexica  evolution learning PA word Language is shaped by social interaction patterns; emails, blogs, sms, queries – CMC’s Linguistics for SoC SoC inspired Linguistic Theory Word Co-occurrence Network • Collaborators: Animesh, Niloy (IIT Kgp), Chris Biemann (University of Darmstadt), Ravi Kannan (MSR India)

Thank You!http://research.microsoft.com/people/monojitc/ zulu  semanti complex bangla network POS syntax model edge DD NLP node @  lexica  evolution learning PA word

Social Computing for Linguistics & Linguistics for Social Computing