User:Gantu/Application - Revision history

Francis Tyers: /* Resources */

2011-04-07T11:06:46Z

Resources

212.112.107.185: /* Dictionary Information */

2011-04-06T05:17:42Z

Dictionary Information

212.112.107.185 at 11:16, 5 April 2011

2011-04-05T11:16:17Z

193.106.48.233: /* Developing new Turkish (tr) → Kyrgyz (ky) apertium language pair. */

2011-04-04T17:21:19Z

Developing new Turkish (tr) → Kyrgyz (ky) apertium language pair.

193.106.48.233: /* Dictionary Information */

2011-04-04T16:50:44Z

Dictionary Information

Francis Tyers: /* Dictionary Information */

2011-04-04T10:46:26Z

Dictionary Information

212.112.107.185: /* Dictionary Information */

2011-04-04T10:27:22Z

Dictionary Information

212.112.107.185: /* Dictionary Information */

2011-04-04T09:25:09Z

Dictionary Information

212.112.107.185: /* Dictionary Information */

2011-04-04T09:24:19Z

Dictionary Information

Francis Tyers: /* Developing new Turkish (tr) → Kyrgyz (ky) apertium language pair. */

2011-04-03T23:46:56Z

Developing new Turkish (tr) → Kyrgyz (ky) apertium language pair.

@@ Line 317: / Line 317: @@
 .http://wiki.apertium.org/wiki/Kyrgyz<br/>
 .http://www.ling.helsinki.fi/kieliteknologia/tutkimus/hfst/<br/>
+[[Category:GSoC_2011_Student_Proposals]]

@@ Line 240: / Line 240: @@
 </pre>
-If the words are ambiguous for stem/POS [http://wiki.apertium.org/wiki/Apertium_and_Constraint_Grammar Constraint Grammar] rules could be applied to select/remove what is needed.
+If the words are ambiguous for stem/POS? I am trying come up with solution soon.
 If I could get part-of-speeches of Turkish words in dictionary I could use it in building apertium tr-ky bilingual dictionary. I am planning to cover at least 3000 of words in 12 days.

@@ Line 12: / Line 12: @@
 * Software Developer BaraanSoft Hyderabad/India 2005-2007
 * Teaching Assistant at IAAU	2008
+* Fedora Project Ambassador in Kyrgyzstan
 Languages:
@@ Line 21: / Line 22: @@
 * Java, Python, C
+==Why is it you are interested in machine translation?==
+Machine translation is very important area where has not been done enough researches and studies. Especially on native languages of nations with a small population. As a computer scientist i would like to contribute in such important and interesting field
+==Which of the published tasks are you interested in? What do you plan to do?==
-== Developing new Turkish (<code>tr</code>) → Kyrgyz (<code>ky</code>) apertium language pair. ==
-Apertium is one of the effective and developing and at the same time working out of the box open source project based on machine translation out there. In almost all machine translation projects the Turkic languages are very poorly developed, some languages are not developed at all. I will develop a new Turkic language pair Turkish (<code>tr</code>)-Kyrgyz (<code>ky</code>) where Kyrgyz (<code>ky</code>) side will be completely developed from scratch.And apertium project has all of the tools and platform to do that.
-I have personal interest in machine translation. Several times i tried to participate to such kind of a project but because of some circumstances i could not achieved it.In this summer i do not have any plans like internship or class taking.
-Google  and Apertium should sponsor it because as a part of this project a new bilingual dictionary and morphological analyzer/generator for Kyrgyz language will be developed.
-Both of them could be used in many purposes. The project deliverable could be used as translation tool from tr-ky and as educational tool as well. And it could help as a tutorial for other Turkic based languages.
+'''Title:'''
-===Deliverables:===
+Apertium-tr-ky: New Turkish-Kyrgyz language pair.
-. Bilingual tr-ky dictionary
-* will be prepared from already developed starDict dictionary has almost 4,600 unique entries.
-* 2-days investigation
-* 12-days for dictionary build up
-* total 2 weeks of work
-. A Morphological analyser/generator for Kyrgyz (<code>ky</code>)
-* 7-days of investigation and reading
-* 21-days of programming and preparing analyser/generator
-* 7-days for testing and documentation
-* total of approximately 5 weeks.
+==Reasons why Google and Apertium should sponsor it==
-. Transfer rules.
+In almost all machine translation projects the Turkic languages are very poorly developed, some languages are not developed at all. I will develop a new Turkic language pair Turkish (tr)-Kyrgyz (ky) where Kyrgyz (ky) side will be completely developed from scratch. Interesting part of Kyrgyz language is it is Cyrillic written but Turkic based language. It will be first language pair of its type in apertium project and other machine translation projects as well.
-* 7-days of reading,preparing and testing transfer rules.
-* total of 1 weeks
+==How and who it will benefit in society?==
+As a part of this project a new bilingual dictionary and morphological analyzer/generator for Kyrgyz language will be developed. Both of them could be used in many purposes. The project deliverable could be used as translation tool from tr-ky and as educational tool as well. And it could help as a tutorial for other Turkic based languages.
-. Script to trim lexica
+==Work and research done, resources==
-* 7-days of reading, programming and testing.
-* total of 1 week
-. Deploying all into apertium and preparing apertium tr-ky language pair.
-* 10-days Testing translations and correcting errors.
-* 11-days Documentation
-* total of 3 weeks
 ===Language Information===
@@ Line 265: / Line 250: @@
 ===What is done already===
 An apertium project tr-ky is created as  a project on SourceForge which consist of bilingual dictionary and simple Kyrgyz language morphological analyzer.
+==Work Plan==
+I tried to approximately plan my work according to GsoC given time line.
+===Community Bonding Period===
+* Set up working environment is done
+* Familiarize with various Apertium tools needed for development.
+* Gather grammar resources for Turkish-Kyrgyz languages.
+* Get familiar with HFST.
+* Figure out how to extract StarDict tr-ky dictionary into apertium-tr-ky bilingual dictionary
+* Figure out a plan for kyrgyz morphological analyser/generator.
+'''Week 1'''
+Build apertium-tr-ky bilingual dictionary by extracting it from StarDict dictionary.
+'''Week 2'''
+Build apertium-tr-ky bilingual dictionary by extracting it from StarDict dictionary.
+'''Deliverable 1:''' Bilingual tr-ky dictionary
+'''Week 3'''
+Preparing rules and theory of morphological analyzer/generator.
+'''Week 4'''
+Dealing with monolingual Kyrgyz dictionary for morphological analyzer/generator
+'''Week 5'''
+Dealing with monolingual Kyrgyz dictionary for morphological analyzer/generator
+Building morphological analyzer/generator for Kyrgyz language on HFST.
+'''Week 6'''
+Building morphological analyzer/generator for Kyrgyz language on HFST.
+Testing morphological analyzer/generator.
+'''Week 7'''
+Testing morphological analyzer/generator.
+Preparing documentation for morphological analyzer/generator.
+'''Deliverable 2:''' kymorph working morphological analyzer/generator for Kyrgyz language
+'''Week 8'''
+Prepare transfer rules from Turkish-Kyrgyz language.
+'''Week 9'''
+Write a script for trimming lexica.
+'''Week 10'''
+Make work all deliverable together as a language pair apertium-tr-ky.
+'''Week 11'''
+Testing  language pair apertium-tr-ky and fixing possible errors.
+'''Week 12'''
+Testing  language pair apertium-tr-ky and fixing possible errors.
+Documentation of apertium-tr-ky language pair.
+'''Deliverable 3:''' working apertium-tr-ky language pair
+==Non- Summer of Code plans==
+GsoC2011 is my main plan for this summer. I am employed at university as a teaching assistant but I am sure that I will have at least 35 free hours in a week to develop for Apertium.
-===Resources===
+==Resources==
 .http://wiki.apertium.org/wiki/Apertium_New_Language_Pair_HOWTO<br/>
 .http://wiki.apertium.org/wiki/Turkish_to_Azerbaijani<br/>

@@ Line 23: / Line 23: @@
 == Developing new Turkish (<code>tr</code>) → Kyrgyz (<code>ky</code>) apertium language pair. ==
-Apertium is one of the effective and developing and at the same time working out of the box open source project based on machine translation out  here. In almost all machine translation projects the Turkic languages are very poorly developed, some languages are not developed at all. I will develop a new Turkic language pair Turkish (<code>tr</code>)-Kyrgyz (<code>ky</code>) where Kyrgyz (<code>ky</code>) side will be completely developed from scratch.
+Apertium is one of the effective and developing and at the same time working out of the box open source project based on machine translation out there. In almost all machine translation projects the Turkic languages are very poorly developed, some languages are not developed at all. I will develop a new Turkic language pair Turkish (<code>tr</code>)-Kyrgyz (<code>ky</code>) where Kyrgyz (<code>ky</code>) side will be completely developed from scratch.And apertium project has all of the tools and platform to do that.
+I have personal interest in machine translation. Several times i tried to participate to such kind of a project but because of some circumstances i could not achieved it.In this summer i do not have any plans like internship or class taking.
-And apertium project has all of the tools and platform to do that.
-As a part of this project a new bilingual dictionary and morphological analyser for Kyrgyz language will be developed.
+Google  and Apertium should sponsor it because as a part of this project a new bilingual dictionary and morphological analyzer/generator for Kyrgyz language will be developed.
-Both of them could be used in many purposes. The project deliverables could be used as translation tool from tr-ky and as educational tool as well. And it could help as a tutorial for other Turkic based languages.
+Both of them could be used in many purposes. The project deliverable could be used as translation tool from tr-ky and as educational tool as well. And it could help as a tutorial for other Turkic based languages.
 ===Deliverables:===

@@ Line 255: / Line 255: @@
 </pre>
+If the words are ambiguous for stem/POS [http://wiki.apertium.org/wiki/Apertium_and_Constraint_Grammar Constraint Grammar] rules could be applied to select/remove what is needed.
-{{comment|And if the words are ambiguous for stem/POS ? - [[User:Francis Tyers|Francis Tyers]]}}
 If I could get part-of-speeches of Turkish words in dictionary I could use it in building apertium tr-ky bilingual dictionary. I am planning to cover at least 3000 of words in 12 days.
-{{comment|50% of the dictionary means how much ? - [[User:Francis Tyers|Francis Tyers]] 23:36, 3 April 2011 (UTC)}}
 ===Kyrgyz Language morphological analyser/generator===

@@ Line 244: / Line 244: @@
 Lexical Selection Example:
 <pre>
-Verb (tr)çalışmak (en) to work
+Verb (tr) çalışmak (en) to work
-(tr)Ahmet fabrikada çalışıyor. (en)Ahmet is working in Factory.  (ky) Ахмет фабрикада иштейт(Ahmet fabrikada ishteit)
+(tr) Ahmet fabrikada çalışıyor. (en) Ahmet is working in a factory.  (ky) Ахмет фабрикада иштейт (Axmet fabrikada ištejt)
-(tr)Ahmet ders çalışıyor.      (en)Ahmet is studying.            (ky) Ахмет сабак окул жатат.
+(tr) Ahmet ders çalışıyor.      (en) Ahmet is studying.              (ky) Ахмет сабак окул жатат. (Axmet sabak okul žatat)
 Adjective (tr) hasta (en) ill
-(tr)Ahmet hasta.     (en) Ahmet is ill.   (ky)Ахмет ооруп жатат.(Ahmet oorup zhatat)
-(tr)Hasta geldi.     (en) (the) ill (person) arrived  (ky) оорулуу келди. (Ooruluu keldi)
+(tr) Ahmet hasta.     (en) Ahmet is ill.               (ky) Ахмет ооруп жатат.         (Ahmet oorup žatat)
+(tr) Hasta geldi.     (en) (the) ill (person) arrived  (ky) оорулуу келди. (Ooruluu keldi)
 </pre>
-{{comment|And if the words are ambiguous ? - [[User:Francis Tyers|Francis Tyers]]}}
+{{comment|And if the words are ambiguous for stem/POS ? - [[User:Francis Tyers|Francis Tyers]]}}
 If I could get part-of-speeches of Turkish words in dictionary I could use it in building apertium tr-ky bilingual dictionary. I am planning to cover at least 3000 of words in 12 days.