Software Architecture for Language Engineering

Cunningham, Hamish; Scott, Donia

doi:10.1017/s1351324904003481

Cited by 43 publications

(30 citation statements)

References 127 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…GRASP guidelines help software designers to balance the trade-offs and give advantages for writing class methods with behaviours that affect multiple classes. In solving the CRA problem, there were current works done by Bowman and Glavas by using the Genetic algorithm [6][10] and Metaheuristic approach [11] [12]. Some of their approaches have been adapted and applied in this project in much more simplified manner.…”

Section: Background and Related Workmentioning

confidence: 99%

“…According to Larman [6], using a Point of Sale system example, the Creator principle applied to 'Process Sale' use case is justified as follows:…”

Section: Demonstration and Analysismentioning

confidence: 99%

“…The Information Expert principle guides us to assign responsibilities to objects where the object becomes an expert for service if it has the ability or information to fulfil the obligations of that service. According to Larman [6], the Information Expert principle applied to the Process Sale use case is illustrated as follows:…”

Section: Demonstration and Analysismentioning

confidence: 99%

“…This attempt is applied to a tool called Use Case Specification to Sequence Diagrams (UC2SD) [5]. UC2SD is a tool that uses a new approach for developing Unified Modelling Language (UML) software designs from Natural Language, making use of a meta-domain oriented ontology, well established software design principles and Natural Language Processing (NLP) tools [6] [7]. This tool then generates a well-formed UML sequence diagrams as an output.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Class Responsibility Assignment (CRA) for Use Case Specification to Sequence Diagrams (UC2SD)

Jali

Greer

Hanna

2014

2014 8th. Malaysian Software Engineering Conference (MySEC)

View full text Add to dashboard Cite

Section: Background and Related Workmentioning

confidence: 99%

“…According to Larman [6], using a Point of Sale system example, the Creator principle applied to 'Process Sale' use case is justified as follows:…”

Section: Demonstration and Analysismentioning

confidence: 99%

Section: Demonstration and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Class Responsibility Assignment (CRA) for Use Case Specification to Sequence Diagrams (UC2SD)

Jali

Greer

Hanna

2014

2014 8th. Malaysian Software Engineering Conference (MySEC)

View full text Add to dashboard Cite

“…It was developed in the framework of a PhD Thesis (Cunningham 2000) at Sheffield University England. It provides:…”

Section: Gate: General Architecture For Text Engineeringmentioning

confidence: 99%

Molecular Microbial Ecology

Osborn¹,

Smith²

2004

View full text Add to dashboard Cite

Question‐driven segmentation of lecture speech text: Towards intelligent e‐learning systems

Lin

Zhang

2007

J. Am. Soc. Inf. Sci.

View full text Add to dashboard Cite

Recently, lecture videos have been widely used in e-learning systems. Envisioning intelligent e-learning systems, this article addresses the challenge of information seeking in lecture videos by retrieving relevant video segments based on user queries, through dynamic segmentation of lecture speech text. In the proposed approach, shallow parsing such as part of-speech tagging and noun phrase chunking are used to parse both questions and Automated Speech Recognition (ASR) transcripts. A sliding-window algorithm is proposed to identify the start and ending boundaries of returned segments. Phonetic and partial matching is utilized to correct the errors from automated speech recognition and noun phrase chunking. Furthermore, extra knowledge such as lecture slides is used to facilitate the ASR transcript error correction. The approach also makes use of proximity to approximate the deep parsing and structure match between question and sentences in ASR transcripts. The experimental results showed that both phonetic and partial matching improved the segmentation performance, slides-based ASR transcript correction improves information coverage, and proximity is also effective in improving the overall performance.

show abstract

Software Architecture for Language Engineering

Cited by 43 publications

References 127 publications

Class Responsibility Assignment (CRA) for Use Case Specification to Sequence Diagrams (UC2SD)

Class Responsibility Assignment (CRA) for Use Case Specification to Sequence Diagrams (UC2SD)

Molecular Microbial Ecology

Question‐driven segmentation of lecture speech text: Towards intelligent e‐learning systems

Contact Info

Product

Resources

About