science

Hamshahri Corpus

Hamshahri Corpus is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Hamshahri Corpus rather than just read about it. In short: The Hamshahri Corpus (Persian: پیکره همشهری) is a sizable Persian corpus based on the Iranian newspaper Hamshahri, one of the first online Persian-language newspapers in Iran. It was initially collected and compiled by Ehsan Darrudi at DBRG Group of University of Tehran.

Key takeaways

Hamshahri Corpus belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Hamshahri Corpus to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Hamshahri Corpus from memory before moving on to harder problems.

Reference excerpt

The Hamshahri Corpus (Persian: پیکره همشهری) is a sizable Persian corpus based on the Iranian newspaper Hamshahri, one of the first online Persian-language newspapers in Iran. It was initially collected and compiled by Ehsan Darrudi at DBRG Group of University of Tehran. Later, a team headed by Abolfazl AleAhmad built on this corpus and created the first Persian text collection suitable for information retrieval evaluation tasks. This corpus was created by crawling the online news articles from the Hamshahri's website and processing the HTML pages to create a standard text corpus for modern information retrieval experiments.

Version 1.0 The collection contains more than 160,000 articles covering the following subject categories: politics, city news, economics, reports, editorials, literature, sciences, society, foreign news, sports, etc. The size of the documents varies from short news (under 1 KB) to rather long articles (e.g. 140 KB) with the average size of 1.8 KB. The corpus is available in several formats for download:

Tagged Text: 560 MB In SQL Server 2000 Tables: 712 MB

Version 2.0 The second release of the Hamshahri Corpus was launched on 20 October 2008. It offers several new features and improvements:

More News: 323,616 Text Stories in 3206 XML files (one file for each day) Increased Time Span: from 22 June 1996 to 13 May 2007 Bigger in Size: 1.42 GB uncompressed Standard Container: Unicode XML Included Images: images have been extracted from the news and preserved (available in an additional package), which makes it suitable for Image Retrieval tasks. Categorized News: the news stories have been categorized semi-automatically (appropriate for text categorization and classification tasks). The corpus is available for download in XML format.

See also Bijankhan Corpus Text corpus Information retrieval

References

External links Hamshahri Corpus Homepage Archived 2017-05-14 at the Wayback Machine irBlogs Collection Homepage Archived 2017-01-13 at the Wayback Machine

Worked examples

Example 1 — a first encounter with Hamshahri Corpus

Start with the simplest possible case. Write down what Hamshahri Corpus claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Hamshahri Corpus before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Hamshahri Corpus ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Hamshahri Corpus

In research: Hamshahri Corpus appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Hamshahri Corpus in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Hamshahri Corpus is common in secondary-school and first-year university syllabi. It links to neighbouring topics Applied linguistics, Corpus linguistics stubs, Indo-European language stubs, so understanding it makes those chapters shorter.
In everyday life: Look for Hamshahri Corpus outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Hamshahri Corpus in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Hamshahri Corpus means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Hamshahri Corpus out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Hamshahri Corpus in simple terms?

Why does Hamshahri Corpus matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Hamshahri Corpus?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Hamshahri Corpus.