Contents & References of Identifying the appropriate features in the text to resolve semantic ambiguity
List:
Chapter One: Introduction
1-1- Introduction. 2
1-2- natural language processing. 3
1-3- machine translation. 8
1-3-1- Machine translation methods 10
1-3-1-1- Law-based methods. 11
1-3-1-2- Corpus-based methods 13
1-3-2- Factors affecting the quality of translation 15
1-4- Thesis structure. 17
Chapter Two: Resolving Semantic Ambiguity
2-1- Introduction. 20
2-2- Types of knowledge sources. 22 2-2-1- Structured knowledge sources 23 2-2-2- Unstructured knowledge sources 24 2-2-2-1 Another division of bodies 25 2-3 Different approaches in resolving semantic ambiguity. 26
2-3-1- Body-based view 26
2-3-1-1- Monitoring systems. 26
2-3-1-2- Unsupervised systems. 27
2-3-2- Knowledge-based view 28
2-3-3- Combined and creative view 30
2-4- Evaluation factors. 30
2-4-1- Coverage 31
2-4-2- Accuracy 31
2-4-3- Correctness and recall 31
2-4-4- F-SCORE 32
Chapter 3: Review of previous related works
3-1- Introduction. 34
3-2- Supervisory methods. 35
3-3- Unsupervised methods. 39
3-4- Knowledge-based methods. 41
3-5- Combined and creative methods. 44
Chapter Four: Proposed Method
4-1- Introduction. 51
4-2- Introducing the tools and resources used 52
4-2-1- Root finder 52
4-2-2- Labeling part of speech 53
4-2-3- Wordnet 54
4-2-4- Expanded Wordnet 57
4-2-5- Domain Wordnet 59
3-4- Steps of the proposed method. 59
4-3-1- extraction of associated words 60
4-3-1-1- preprocessing. 61
4-3-2- word list extraction 61
4-3-2-1- synonyms and definitions. 62
4-3-2-2- All semantic relations. 62
4-3-2-3- Hypernym on several levels. 63
4-3-2-4- range of words. 64
4-3-2-5- Scoring. 64
Chapter Five: Implementation and Evaluation
5-1- Introduction. 67
5-2- Results. 68
Chapter Six: Summary and Conclusion
6-1- Conclusion. 71
6-2- Upcoming works. 72
List of sources. 74
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