- Jul 25th, 2017 (Tuesday)
- Jul 26th, 2017 (Wednesday)
- Aug 10th, 2017 (Thursday)
- Aug 17th, 2017 (Thursday)
- Aug 24th, 2017 (Thursday)
- Sep 3rd, 2017 (Sunday)
- Oct 10th, 2017 (Tuesday)
- Oct 12th, 2017 (Thursday)
- Oct 19th, 2017 (Thursday)
- Oct 24th, 2017 (Tuesday)
- Nov 3rd, 2017 (Friday)
- Nov 4th, 2017 (Saturday)
- Nov 9th, 2017 (Thursday)
- Who: Prof Pawan Goyal, Amrith Krishna sir, Gaurav Sahu and myself
- What: General discussion on the BTP (Program synthesis)
- Who: Amrith Krishna sir, Gaurav Sahu and myself
- What:
- Clarification on initial approach of guessing inflection from source word by giving importance to suffix
- Separation of the task between Gaurav and myself
- Who: Amrith Krishna sir and myself
- What:
- Support and confidence model, based on the trie data structure tried by me
- Who: Amrith Krishna sir, Gaurav Sahu and myself
- What:
- Create a 5000*5000 DataFrame of source charecters and their positions from left and right, to understand how their frequencies can be used to detect any pattern
-
Who: Amrith Krishna sir, Gaurav Sahu and myself
-
What:
- Perform random walk on the generated source adjacency matrix (DataFrame)
- Create (unigram) DataFrame df1 with vectors
char
,left_position
,right_position
andcount
- Create (bigram) DataFrame df2 with vectors
char_1
,left_1
,right_1
,char_2
,left_2
,right_2
andcount
- Create (substring_removal) DataFrame df3 with vectors
source
,target
andremoved_substrings
- Create (operations_sequence) DataFrame df4 with vectors
source
,target
andsequence_of_operations
- Create (operations) DataFrame df5 with vectors
operation
,char
,left_position
,right_position
andcount
Finally, the idea is to automate the task and perform it for all languages and convert all DataFrames to CSV
- Who: Amrith Krishna sir, Gaurav Sahu and myself
- What:
- Design traceable structures
- Fix adjacency matrix and faster bigram with rgl gem
- Apply random walk, random search and logistic regression
- Who: Prof Pawan Goyal, Gaurav Sahu and myself
- What:
- Explaining progress till mid-term evaluations
- Discussion about choosing better labels and features
- Who: Amrith Krishna sir, Gaurav Sahu and myself
- What:
- Explaining progress till mid-term evaluations
- Discussion about choosing better labels and features
- I'm given the task of fasttext
- Who: Amrith Krishna sir, Gaurav Sahu and myself
- What:
- According to the set metric, adj_mat seems better than fasttext
- Given the task of generating the graph of source words
- Who: Amrith Krishna sir and myself
- What:
- Modified LDist to be used to get 10 closest words to a given word
- By comparing closest words to the word, chunks of characters can be formed as nodes
- Who: Amrith Krishna sir and myself
- What:
- Think about adding visualization with JS libraries
- Use Giphe to get network data like Diameter, Average Degree, etc.
- Who: Amrith Krishna sir, Gaurav Sahu and myself
- What:
- Add visualization with JS libraries, by next Thursday
- Send Giphe network data today and discuss tomorrow
- Who: Amrith Krishna sir, Gaurav Sahu and myself
- What:
- Preparation for BTP-1 presentation