GSoC 2017 @ dateparser

So finally Google Summer of Code 2017 is coming to an end. It was an amazing experience to be a part of this prestigious program and I learned a lot in these three months about open source development. Work Summary I worked on dateparser , a project under sub-org Scrapinghub of Python Software Foundation (PSF) , that deals with parsing dates in various languages and formats. The objective of the project was to integrate translation data of all locales in Unicode Common Locale Data Repository(CLDR) which is a standard repository of locale specific data with the existing translation data in dateparser. Here is a brief outline of the work done on my project on dateparser during GSoC 2017: Work Completed 1.   Retrieved Translation data from Unicode CLDR Scripts were written to retrieve translation data from unicode CLDR  github repository. The translation data for dates and numerals were separately stored. 2. Ordered languages by population The languages were...

I have been working on scripts and modifying data for quite some time and it seems the data is ready to be used for parsing dates. The data retrieved from Unicode CLDR  has been divided into two parts: numeral_translation_data , that will be specifically used to parse numerals, and date_translation_data ,   that will be used to parse date strings after modifying it by parsing numerals if included in the date string. The existing data that was contributed by various individuals to dateparser has been modified to supplement the data retrieved from CLDR, i.e., only the portion of data that is not included in data retrieved from CLDR remains as supplementary data , which will continue to be modified by contributors in future. The data for date translation consists of translations for months, weekdays and periods, date order, and translations for relative-type dates. This data is stored for different languages and for each language, locale-specific data is stored for ...

There has been some time since I last wrote and I have been working on my project. As I was free during the GSoC bonding period, I started working on my project early so as to have a head start. I started working on scripts to retrieve translation data from unicode CLDR. That came out good as by the time GSoC period started, I had already written a major part of the scripts and had retrieved most of the data required for parsing. At the same time I started to write tests for dateparser and coverage has increased fairly. After the GSoC period started I made further changes to the script to resolve some issues like correcting date order of languages and storing data in order. As of now since I have added numeral data as well, data that has been retrieved is complete with all components required to translate dates as initially proposed in my proposal. The challenge now is to use this data to effectively and efficiently translate dates. Currently dateparser uses a dictionary based metho...

So I have been finally selected for Google Summer of Code 2017  at Python Software Foundation . Python Software Foundation(PSF) serves as an umbrella organisation comprising various sub-orgs that have projects that contribute to the development of the Python language. The sub-org I am going to work with is Scrapinghub . About Scrapinghub Scrapinghub, as its name clearly suggests, deals primarily with scraping the web. Scrapinghub is a company concerned with Information Retrieval and its later manipulation, i.e., it deals with both data extraction and data processing after retrieval. It has various projects that deal with these topics and the one I am going to work on deals with data processing after retrieval. I am going to work with dateparser , which is a Python library that primarily deals with parsing dates in various languages and formats. About dateparser dateparser is a Python library that is used to parse various forms of dates in different languages to a common for...