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    <title>emre şahin's digital garden 🍃 - nlp</title>
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    <description>Posts in the nlp tag</description>
    <language>en</language>
    <managingEditor>contact@emresahin.net (Emre Şahin)</managingEditor>
    <lastBuildDate>Tue, 15 Sep 2026 19:46:32 +0000</lastBuildDate>
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      <title>devlog</title>
      <published>2023-06-12T15:04:19+00:00</published>
      <updated>2023-06-12T15:04:19+00:00</updated>
      <author>Emre Şahin</author>
      <pubDate>Mon, 12 Jun 2023 15:04:19 +0000</pubDate>
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      <description>I’ve read a few interesting ideas here . Identifying whether an uploaded document is a template could be a useful feature. This is a basic classification task. We can also find ways to extract named entities from the documents and remove them to create a template. Then, we can ask the user to pro...</description>
      <category>devlog</category>
      <category>Software Development</category>
      <category>legalops</category>
      <category>contract</category>
      <category>negotiation</category>
      <category>nlp</category>
      <category>document-analysis</category>
      <category>templates</category>
      <content:encoded><![CDATA[<ul>
<li>I’ve read a few interesting ideas <a href="http://sourcinginnovation.com/wordpress/2023/06/06/source-to-pay-is-extensive-p22-time-for-contract-management-but-its-a-nag-lets-start-with-negotiation/">here</a>.</li>
<li>Identifying whether an uploaded document is a template could be a useful feature.
<ul>
<li>This is a basic classification task. We can also find ways to extract named entities from the documents and remove them to create a template. Then, we can ask the user to provide values for these entities to generate a complete document.</li>
</ul>
</li>
</ul>]]></content:encoded>
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    <item>
      <title>Converting Latin-based Turkish spelling to Ottoman</title>
      <published>2012-09-23T14:00:00+00:00</published>
      <updated>2012-09-23T14:00:00+00:00</updated>
      <author>Emre Şahin</author>
      <pubDate>Sun, 23 Sep 2012 14:00:00 +0000</pubDate>
      <link>https://emresahin.net/12124-4-2782/</link>
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      <description>I’m working on a system to search Ottoman document collections. In order to query a large collection in Ottoman, the user needs to write the query in Ottoman, which uses an Arabic-based alphabet with a completely different set of spelling rules. This limits usability, since most users will not be...</description>
      <category>Dervaze</category>
      <category>search</category>
      <category>conversion</category>
      <category>query</category>
      <category>transcription</category>
      <category>Ottoman</category>
      <category>Turkish</category>
      <category>NLP</category>
      <content:encoded><![CDATA[<p>I’m working on a system to search Ottoman document collections.</p>
<p>In order to query a large collection in Ottoman, the user needs to write
the query in Ottoman, which uses an Arabic-based alphabet with a completely
different set of spelling rules. This limits usability, since most
users will not be familiar with the spelling. Experts are, but we
can’t assume all users will be able to use it.</p>
<p>There are various methods of transcribing Ottoman to modern Turkish.
Many of these use diacritics to denote different long vowels. When it
comes to consonants that are spelled identically in Turkish but correspond
to different letters in Ottoman, most of these transcription systems are
silent. They don’t represent the difference between the letters <em>tha</em> and
<em>sin</em> for example, although the first is used in Arabic words
considerably. Turks pronounce these two letters identically since
Ottoman times, so they are written identically as <em>s</em> in Turkish.</p>
<p>The information content of these two writing systems is different. One
has three <em>s</em> letters, the other has a rich set of vowels etc. The Latin-based
Turkish script looks more verbose, so I decided to reduce this verbosity
to get a set of <em>probable</em> Ottoman spellings.</p>]]></content:encoded>
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