Semantic Structure of the Indian Sign Language

Similar documents
Development of Indian Sign Language Dictionary using Synthetic Animations

DOMAIN BOUNDED ENGLISH TO INDIAN SIGN LANGUAGE TRANSLATION MODEL

Curriculum Framework

Index. Index. More information

1. INTRODUCTION. Vision based Multi-feature HGR Algorithms for HCI using ISL Page 1

ATLAS. Automatic Translation Into Sign Languages

ATLAS Automatic Translation Into Sign Languages

Sign Language MT. Sara Morrissey

LANGUAGE ARTS AMERICAN SIGN LANGUAGE I COMPONENT. Volume I - Page 173 LANGUAGE ARTS - AMERICAN SIGN LANGUAGE I

ASL ONE CURRICULUM UNIT ONE: Lesson 1.1 Fingerspelling I Rule #1 of Deaf Culture Assessment: Assignment 1.1

OVERVIEW TUTORIAL BEHAVIORAL METHODS CLAIM: EMLAR VII EYE TRACKING: READING. Lecture (50 min) Short break (10 min) Computer Assignments (30 min)

Chapter 7. Mental Representation

TExES American Sign Language (ASL) (184) Test at a Glance

1. Introduction and Background

Modeling the Use of Space for Pointing in American Sign Language Animation

TExES American Sign Language Curriculum Crosswalk

Advances in Natural and Applied Sciences

MA 1 Notes. moving the hand may be needed.

World Languages American Sign Language (ASL) Subject Matter Requirements

Available online at ScienceDirect. Procedia Technology 24 (2016 )

Sign Language Automation

American Sign Language (ASL) and the Special Language Credit Option. Revised May 2017

Strategies for Building ASL Literacy

ASL 102 American Sign Language II (4) Second in a related series of courses that focus on the use and study of ASL. This course

The Emergence of Grammar: Systematic Structure in a New Language. Article Summary

MA 1 Notes. Deaf vs deaf p. 3 MA1 F 13

Finnish Sign Language as a Foreign Language (K2)

Rachel McKee 69 P A R T II STUDIES OF NEGATIVES AND INTERROGATIVES IN INDIVIDUAL SIGN LANGUAGES

Imperial Valley College Course Syllabus American Sign Language 204

Is Phonology Necessary for Language?

The neural basis of sign language processing

GACE American Sign Language Assessment Test at a Glance

Sentence Formation in NLP Engine on the Basis of Indian Sign Language using Hand Gestures

Provost s Learning Innovation Grant for

NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS

Deaf Support. Level 3 British Sign Language 2017 Handout resources. 2 SIGN GRAMMAR Grammar is phonology + syntax + semantics It is the order of sign.

e-lis: Electronic Bilingual Dictionary Italian Sign Language-Italian

Stepwise Knowledge Acquisition in a Fuzzy Knowledge Representation Framework

Survey of Knowledge Base Content

Smart Gloves for Hand Gesture Recognition and Translation into Text and Audio

Chapter 2. Knowledge Representation: Reasoning, Issues, and Acquisition. Teaching Notes

PDF hosted at the Radboud Repository of the Radboud University Nijmegen

Communications Sciences & Disorders Course Descriptions

Smart Speaking Gloves for Speechless

Sign Synthesis and Sign Phonology Angus B. Grieve-Smith Linguistics Department University of New Mexico

A Web Tool for Building Parallel Corpora of Spoken and Sign Languages

Hand in Hand: Automatic Sign Language to English Translation

Scheme of Work for BSL Level 2 202

Representations of action, motion, and location in sign space: A comparison of German (DGS) and Turkish (TİD) Sign Language narratives

Model answers. Childhood memories (signed by Avril Langard-Tang) Introduction:

A frame-based analysis of synaesthetic metaphors

AUSLAN (WACE VERSION) ATAR COURSE. Year 11 and Year 12 syllabus

A Cascaded Speech to Arabic Sign Language Machine Translator using Adaptation

COLLEGE OF THE DESERT

Disparity of Non-verbal Language Learning

The significance of village sign languages for the typological study of sign languages

The Danish Sign Language Dictionary Jette H. Kristoffersen and Thomas Troelsgård University College Capital, Copenhagen, Denmark

Schema-Driven Relationship Extraction from Unstructured Text

Temporal Primitives, an Alternative to Allen Operators

Foundations of Natural Language Processing Lecture 13 Heads, Dependency parsing

TWO HANDED SIGN LANGUAGE RECOGNITION SYSTEM USING IMAGE PROCESSING

Copyright is owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and

AMERICAN SIGN LANGUAGE GREEN BOOKS, A TEACHER'S RESOURCE TEXT ON GRAMMAR AND CULTURE (GREEN BOOK SERIES) BY CHARLOTTE BAKER-SHENK

Ling51/Psych56L: Acquisition of Language. Lecture 22 Language in special populations I

A Corpus of Clinical Narratives Annotated with Temporal Information

Memory-Augmented Active Deep Learning for Identifying Relations Between Distant Medical Concepts in Electroencephalography Reports

A STUDY ON CERTAIN FACTORS INFLUENCING LANGUAGE PERFORMANCE OF HEARING IMPAIRED STUDENTS

. Semi-automatic WordNet Linking using Word Embeddings. Kevin Patel, Diptesh Kanojia and Pushpak Bhattacharyya Presented by: Ritesh Panjwani

COMPUTER ASSISTED COMMUNICATION FOR THE HEARING IMPAIRED

Why does language set up shop where it does?

How can Natural Language Processing help MedDRA coding? April Andrew Winter Ph.D., Senior Life Science Specialist, Linguamatics

Language to Logical Form with Neural Attention

Introduction. Spoken language phonology. Spoken language phonology. Sign language phonology. Spoken language phonology

Today we will... Foundations of Natural Language Processing Lecture 13 Heads, Dependency parsing. Evaluating parse accuracy. Evaluating parse accuracy

Interpreter Preparation (IPP) IPP 101 ASL/Non-IPP Majors. 4 Hours. Prerequisites: None. 4 hours weekly (3-1)

Deaf Studies. Program Learning Outcomes

PSYC20007 READINGS AND NOTES

Computational Explorations in Cognitive Neuroscience Chapter 7: Large-Scale Brain Area Functional Organization

User Evaluation of an Electronic Malaysian Sign Language Dictionary: e-sign Dictionary

Keep in Touch: A Comparative Analysis of Visual and ProTactile American Sign Language

Interpreter Preparation (IPP) IPP 101 ASL/Non-IPP Majors. 4 Hours. Prerequisites: None. 4 hours weekly (3-1)

Common Sense Assistant for Writing Stories that Teach Social Skills

Speech Processing / Speech Translation Case study: Transtac Details

Machine Translation Approach to Translate Amharic Text to Ethiopian Sign Language

Why does language set up shop where it does?

Chapter 12 Conclusions and Outlook

The Logic of Categorization

Arts and Entertainment. Ecology. Technology. History and Deaf Culture

Text Mining of Patient Demographics and Diagnoses from Psychiatric Assessments

Foundations of AI. 10. Knowledge Representation: Modeling with Logic. Concepts, Actions, Time, & All the Rest

Motivation: Attention: Focusing on specific parts of the input. Inspired by neuroscience.

Teacher/Class: Ms. Brison - ASL II. Standards Abilities Level 2. Page 1 of 5. Week Dates: Oct

John Benjamins Publishing Company

Health informatics Digital imaging and communication in medicine (DICOM) including workflow and data management

QUANTIFICATION IN THE CODA OF EXISTENTIALS ITAMAR FRANCEZ

Using a grammar implementation to teach writing skills

Propositions and Attitudinal Objects

Fundamentals of Cognitive Psychology, 3e by Ronald T. Kellogg Chapter 2. Multiple Choice

What Happened to Bob? Semantic Data Mining of Context Histories

Appendix C: Rubrics. Contents. Appendix C. Rubrics. American Sign Language Rubric. Home Signs Rubric. Visual Gestural Communication Rubric

Transcription:

Semantic Structure of the Indian Sign Language Purushottam Kar and Achla M. Raina Indian Institute of Technology Kanpur 6 January 2008

Overview Indian Sign Language An Introduction Sociolinguistic and Linguistic perspectives Past Research in Sign Languages Research in ISL Surface Characterization of ISL Sentence level constructs Inter-sentential constructs A Schematization model for ISL The COMPOSE schema, Perceptual Schema

Introduction Indian Sign Language Used by the deaf communities in the India Dialectal variations observed Not much known about geographical extent A much neglected minority language Overwhelming oralist approach to deaf education (Deshmukh 96) Has seen very little research

Introduction Indian Sign Language Visuo-spatial language Extensive use of space Iconic signs, Role play, Directional verbs, Non-manual markers, Person and Space deixis Sentences are predicate final Non manuals markers Facial Expression, Body Posture, Head orientation Negation, Interrogatives, Causal Expressions, Conditionals

Introduction Past Research in Sign Languages Theoretical Structural/Descriptive (Zeshan 02), (Sexton 99), (Stokoe 60) Neuro-physiological (Damasio 86), (Gordon 04) Computational Representation Schemes (Speers 02) Translation Systems (Kar et al 07), (Wray et al 04), (Zhao et al 00)

Introduction Research in Indian Sign Language Structural/Descriptive (Zeshan 00, 03, 04) Description of surface forms (Vasishta 86) Sign language dictionaries Deaf Education (Deshmukh 96) Deaf education in India Computational (Kar et al 07) INGIT MT from Hindi to ISL* (Dasgupta et al 08) Text to ISL MT * INGIT: Limited Domain Formulaic Translation from Hindi to Indian Sign Language, In Proceedings of ICON 07.

Surface Characterization of ISL Simple Predication Predicate final structure Absence of articles, copula Tense is a discourse level phenomenon Spatial deixis markers of grammatical roles Spatial Location Body Orientation Mono-transitive events Constituent ordering doesn t play a major role

Surface Characterization of ISL Simple Predication Di-transitive events In case of asymmetric relation between similar participating entities directional signs used Constituent order flexible Trivalent events Similar structure directional verbs used to indicate grammatical roles

Surface Characterization of ISL Simple Predication Constituent orderings Rarely involved in marking grammatical relations Mostly the relation between the constituents is specified last If entities are related as then the signing is However relaxation in ordering if constituent is a fully specified relation

Surface Characterization of ISL Sentence level constructs Negative Assertions Associated with a manual sign for negation Parallel non manual component Affirmative Interrogative Non redundant role played by non manual markers Manual signing identical to corresponding affirmative

Surface Characterization of ISL Sentence level constructs Sentential Embeddings Two signing patterns observed Content Interrogatives Both manual as well as non-manual component Composed signs for temporal, location, person queries

Surface Characterization of ISL Inter-sentential constructs Conditional Statements Exhibit embeddings in ISL The premise is terminated with a non manual marker A variant observed involves use of a finger-spelled IF Conjunctions Disjunctions ISL has no conjunctions (Zeshan 03) However finger-spelled AND is encountered More investigation required

Surface Characterization of ISL Inter-sentential constructs Causal Expressions Realized in a dialogic form as a question answer tuple Relational Embeddings Embedded clause signed after a non manual marker Example of surface embeddings in ISL More detailed investigation required

Semantic Schematization in ISL

Semantic Schematization in ISL Input CIR Output s-form

A Schematization Model The Interface Autonomous, amodal, CI System CI Representations (CIR) Semantic parses Schematized forms (s-forms) weakly structured trees Leaves contain individual signs Leaves have a template Non-leaves contain temporal sequencing information

A Schematization Model The Global store A mutable store being modified constantly Stores discourse level information Tense Information Spatial deixis type used one of the following Spatial Location (SL) Body Orientation (BO) Mappings of type Spatial Location Participating entity Body Orientation Pairs of participating entities

A Schematization Model The COMPOSE schema Takes as input a CIR and a template Schematizes the CIR according to the template and outputs an s-form that adheres to the template COMPOSE(book) is simply an articulation of the sign COMPOSE(give(ram,sita,book)) is handled by a schema for the concept GIVE Schema can recursively call COMPOSE for arguments

A Schematization Model The Sentence schema Negation CIR is of form C = neg(e): negation of the event E Template Simply call COMPOSE with the arguments

A Schematization Model The Event Schema SEE Has a Perceptual Articulatory Schema (PAS) The CIR see(ram, sita) would be composed as GIVE The PAS for GIVE THINK is similar to that of SEE: both involve directed movement Is dissimilar from SEE: different hand shapes Non- directional verb PAS simply consists of the hand shape, orientation and place of articulation

An Example Sentence corresponding to a CIR s-form output Initial Global Store [global store] [Φ] Yesterday, Ram met Sita seq(compose(yesterday), COMPOSE(ram), COMPOSE(sita), COMPOSE(meet)) [past,sl,{ram loc1,sita loc2}] He gave her a book seq(compose(book),pa_give(loc1,loc2)) [past,sl,{ram loc1,sita loc2}] He thought that she should go to school seq(ind(loc1),compose(think),compose(q),seq(ind(loc2),compose(school), COMPOSE(go),COMPOSE(imperative))) [past,sl,{ram loc1,sita loc2}] Radha, who is Sita s sister, goes to school seq(compose(radha),poss(loc2),compose(sister),hold,seq(ind(loc3), COMPOSE(school),COMPOSE(go))) [null,sl,{ram loc1,sita loc2,radha loc3}]

Future Work A broader surface characterization based on a larger corpus of data adverbials, adjectives, adjuncts conjunctions, disjunctions May lead to a refined schematization model Explore the COMPOSE schema in detail Possibility of arriving at a unified schematization model for spoken and sign languages

For questions or suggestions, please contact Purushottam Kar at purushot@cse.iitk.ac.in or Achla M. Raina at achla@iitk.ac.in