Syllabus
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Course Code: $ Program Elective Lab-I MTCE-129 Course Name: Speech and Language Processing |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
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| 1 | Case Study 1 Take a sample of sentences and process the text in form of tokenization and normalize this data using stemming |
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| 2 | Case Study 2 Take a file of size less than 50MB and then select some word and convert these words to N-grams. |
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| 3 | Case Study 3 A part-of-speech tagger, or POS-tagger, processes a sequence of words, and attaches a part of speech tag to each word. Take some adjective of English language and tag it. |
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| 4 | Case Study 4 To Measure Semantic Similarity between sentences like sentence of "Harry is running fast" and "Harry is Sprinting" |
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| 5 | Case Study 5 To associate each word with a word sense disambiguator to select the right meaning among all possible senses for each word |
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| 6 | Case Study 6 Build a system that will extract structured data, such as tables, from unstructured text and use them for training and evaluating models? |
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| 7 | Case Study 7 Develop a Model Building in which a machine learning model is trained on a labeled dataset and Improve Performance of Text Classifier |
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