Nothing Special   »   [go: up one dir, main page]

Wang et al., 2016 - Google Patents

Automatic plagiarism detection for spoken responses in an assessment of english language proficiency

Wang et al., 2016

Document ID
18031334845974268769
Author
Wang X
Evanini K
Bruno J
Mulholland M
Publication year
Publication venue
2016 IEEE Spoken Language Technology Workshop (SLT)

External Links

Snippet

This paper addresses the task of automatically detecting plagiarized responses in the context of a test of spoken English proficiency for non-native speakers. Text-to-text content similarity features are used jointly with speaking proficiency features extracted using an …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/27Automatic analysis, e.g. parsing
    • G06F17/2765Recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/27Automatic analysis, e.g. parsing
    • G06F17/274Grammatical analysis; Style critique
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/28Processing or translating of natural language
    • G06F17/2872Rule based translation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/28Processing or translating of natural language
    • G06F17/2809Data driven translation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/27Automatic analysis, e.g. parsing
    • G06F17/2705Parsing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634Querying
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00Teaching not covered by other main groups of this subclass
    • G09B19/06Foreign languages
    • G09B19/08Printed or written appliances, e.g. text books, bilingual letter assemblies, charts
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B7/00Electrically-operated teaching apparatus or devices working with questions and answers
    • G09B7/02Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00Electrically-operated educational appliances
    • G09B5/02Electrically-operated educational appliances with visual presentation of the material to be studied, e.g. using film strip
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00Electrically-operated educational appliances
    • G09B5/04Electrically-operated educational appliances with audible presentation of the material to be studied
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00Electrically-operated educational appliances
    • G09B5/06Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/18Speech classification or search using natural language modelling
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B15/00Teaching music

Similar Documents

Publication Publication Date Title
US9443513B2 (en) System and method for automated detection of plagiarized spoken responses
Wang et al. Automatic plagiarism detection for spoken responses in an assessment of english language proficiency
Villalón et al. Glosser: Enhanced feedback for student writing tasks
Shaalan et al. Analysis and feedback of erroneous Arabic verbs
Wang et al. Modeling Discourse Coherence for the Automated Scoring of Spontaneous Spoken Responses.
Langlet et al. Modelling user’s attitudinal reactions to the agent utterances: focus on the verbal content
Jiménez et al. Sentiment Analysis of Student Surveys--A Case Study on Assessing the Impact of the COVID-19 Pandemic on Higher Education Teaching.
Yoon et al. Features measuring vocabulary and grammar
Evanini et al. Automatic detection of plagiarized spoken responses
Hussain et al. Assessment of bangla descriptive answer script digitally
Horbach et al. The influence of spelling errors on content scoring performance
Rayson et al. Automatic error tagging of spelling mistakes in learner corpora
Yoon et al. A comparison of grammatical proficiency measures in the automated assessment of spontaneous speech
Lahbari et al. A rule-based method for Arabic question classification
Wang et al. Application of an automatic plagiarism detection system in a large-scale assessment of English speaking proficiency
Li et al. An effective automated essay scoring system using support vector regression
US11094335B1 (en) Systems and methods for automatic detection of plagiarized spoken responses
Evanini et al. Using an automated content scoring system for spoken CALL responses: The ETS submission for the Spoken CALL Challenge
Ircing et al. Combining textual and speech features in the NLI task using state-of-the-art machine learning techniques
Gamon et al. Using learner corpora for automatic error detection and correction
Kobayashi et al. Automated Scoring of L2 Spoken English with Random Forests.
Flanagan et al. Classification and clustering english writing errors based on native language
Debabi et al. Developing Collocational Competence in EFL Classes Evidence of Nativeness in Algerian Intermediate Learners’ Corpus
Ward et al. Semantic cohesion and learning
Zindela Comparing Measures of Syntactic and Lexical Complexity in Artificial Intelligence and L2 Human-Generated Argumentative Essays.