User:Aida/Application - Revision history

Aida: /* Why is it you are interested in machine translation? */

2014-05-13T05:24:56Z

Why is it you are interested in machine translation?

Aida at 12:00, 23 March 2014

2014-03-23T12:00:25Z

Aida: /* Workplan */

2014-03-18T16:37:54Z

Workplan

Aida: /* My plan */

2014-03-18T15:59:56Z

My plan

Aida: /* Which of the published tasks are you interested in? What do you plan to do? */

2014-03-18T15:58:23Z

Which of the published tasks are you interested in? What do you plan to do?

Aida: /* Workplan */

2014-03-18T11:15:33Z

Workplan

Aida: /* Which of the published tasks are you interested in? What do you plan to do? */

2014-03-18T11:01:12Z

Which of the published tasks are you interested in? What do you plan to do?

Aida: /* How and who it will benefit in society */

2014-03-18T10:52:28Z

How and who it will benefit in society

Aida at 07:46, 18 March 2014

2014-03-18T07:46:40Z

Aida: /* Contact information */

2014-03-18T07:24:14Z

Contact information

@@ Line 6: / Line 6: @@
 ==Why is it you are interested in machine translation?==
-I have started to learn machine translation in 2012 when I joined to a project, which included developing machine translation from English to Kazakh. Before it I was really interested in artificial intelligence and automation of processes. I continued developing English-Kazakh machine translation on Apertium and tried to know more about Apertium free/open-source machine translation platform. Knowledge of the languages, programming and my target to do translation better helped me to learn XML and improve my working skills.
+I have started to learn machine translation in 2012 when I joined to a project as a part of my work in Intelligence Information Systems laboratory, which is lead by professor Tukeyev U., in Research Institute of Mechanics and Mathematics, which included developing machine translation from English to Kazakh. Before it I was really interested in artificial intelligence and automation of processes. I continued developing English-Kazakh machine translation on Apertium and tried to know more about Apertium free/open-source machine translation platform. Knowledge of the languages, programming and my target to do translation better helped me to learn XML and improve my working skills.
 ==Why is it that they are interested in the Apertium project?==
 At the first, Apertium is free/open-source machine translation platform, which means that developers from other countries like me can join and start to do translations for new language pair. Apertium uses Unix  “pipelines” which are very useful for fast diagnosis and debugging, so I can use additional modules between existing modules, like using HFST(Helsinki finite-state transducer) for morphological analysis and generation for Kazakh language.

@@ Line 6: / Line 6: @@
 ==Why is it you are interested in machine translation?==
-I have started to learn machine translation in 2012 when I joined to a project, which included developing machine translation from English to Kazakh. Before it I was really interested in artificial intelligence and automation of processes. I continued developing English-Kazakh machine translation on Apertium and tried to know more about Apertium free/open-source machine translation platform. Knowledge of the languages, programming and my target to do translation better helped me to learn new programming language as XML and improve my working skills.
+I have started to learn machine translation in 2012 when I joined to a project, which included developing machine translation from English to Kazakh. Before it I was really interested in artificial intelligence and automation of processes. I continued developing English-Kazakh machine translation on Apertium and tried to know more about Apertium free/open-source machine translation platform. Knowledge of the languages, programming and my target to do translation better helped me to learn XML and improve my working skills.
 ==Why is it that they are interested in the Apertium project?==
 At the first, Apertium is free/open-source machine translation platform, which means that developers from other countries like me can join and start to do translations for new language pair. Apertium uses Unix  “pipelines” which are very useful for fast diagnosis and debugging, so I can use additional modules between existing modules, like using HFST(Helsinki finite-state transducer) for morphological analysis and generation for Kazakh language.

@@ Line 66: / Line 66: @@
 # write ≥4 lexical selection rules
 # write ≥3 transfer rules
-# write ≥4 disambiguatino rules
+# write ≥4 disambiguation rules
 note: should be in IRC every day

@@ Line 27: / Line 27: @@
 ==My plan==
 ===Major goals===
-I plan to work more on vocabulary, and add transfer rules if it needed, to be more precise, I plan to reach:
+I plan to work more on vocabulary, and add transfer rules if needed, to be more precise, I plan to reach:
 * Good WER
 * Clean testvoc

@@ Line 10: / Line 10: @@
 At the first, Apertium is free/open-source machine translation platform, which means that developers from other countries like me can join and start to do translations for new language pair. Apertium uses Unix  “pipelines” which are very useful for fast diagnosis and debugging, so I can use additional modules between existing modules, like using HFST(Helsinki finite-state transducer) for morphological analysis and generation for Kazakh language.
 ==Which of the published tasks are you interested in? What do you plan to do?==
-I plan to improve  English-Kazakh language pair to reach a good translation quality. I already develop this pair, but it doesn't have corpora and enough vocabulary to show adequate translation. My target is to make vocabulary coverage bigger than now by using corpora from news and wikipedia and come close to working translator.
+I plan to improve  English-Kazakh language pair to reach a good translation quality. I have already developed this pair, but it doesn't have corpora and enough vocabulary to show the adequate translation. My target is to make vocabulary coverage bigger than now by using corpora from news and wikipedia and come close to working translator.
 ===Title===
 '''Adopting unreleased English-Kazakh language pair'''
 ===Reasons why Google and Apertium should sponsor it===
-English to Kazakh machine translation are very important, because Kazakh is Turkic language, so transfer, constraint grammar rules, which I write for this pair can be useful for developing another English – Turkic Language pairs.
+English to Kazakh machine translation is very important, because Kazakh is Turkic language, so transfer, constraint grammar rules, which I write for this pair can be useful for developing another English – Turkic Language pairs.
 ===How and who it will benefit in society===
-Kazakh speakers, who now about 16 millions, can use English-Kazakh translation for understanding English texts: news, papers, etc. Also, as part of this work is Kazakh-English language pair will be improved by increasing a bilingual dictionary, so English speakers would use this translator to understand texts in Kazakh.
+Kazakh speakers, about 16 millions, can use English-Kazakh translation for understanding English texts: news, papers, etc. Also, as part of this work is Kazakh-English language pair will be improved by increasing a bilingual dictionary, so English speakers would use this translator to understand texts in Kazakh.
 ===List your skills and give evidence of your qualifications===
-I have developed a English to Kazakh machine translation on Apertium since 2012 and Kazakh to English since 2013.  I have great experience in writing and correcting transfer rules, lexical selection and constraint grammar rules, also adding vocabulary in monolingual and bilingual dictionaries. I study on 4th grade of bachelor's degree in Kazakh National University(Kazakhstan,Almaty), my major is Information Systems and I will graduate in the summer 2014. I know programming languages: C, C++, C#, HTML, XML, and I have basic knowledge of PHP. In addition, I can work with databases and know SQL.  My mother language is Kazakh and I also speak English and Russian.
+I have developed a English to Kazakh machine translation on Apertium since 2012 and Kazakh to English since 2013.  I have great experience in writing and correcting transfer rules, lexical selection and constraint grammar rules, also adding vocabulary in monolingual and bilingual dictionaries. I am a 4-year bachelor student in Kazakh National University(Kazakhstan,Almaty), my major is Information Systems and I will graduate in summer 2014. I know programming languages: C, C++, C#, HTML, XML, and I have basic knowledge of PHP. In addition, I can work with databases and know SQL.  My mother language is Kazakh and I also speak English and Russian.
 ===List any non-Summer-of-Code plans you have for the Summer===
-Before 20 of June I have final exams, but I will have about 3 hours a day to work on project. After graduating from the university I will be free and can spend 30 hours a  week on Apertium.
+Before 20 of June I have final exams, but I will have about 3 hours a day to work on project. After graduating from the university I will be free and I can spend 30 hours a  week on Apertium.
 ==My plan==

@@ Line 52: / Line 52: @@
 !colspan="2" style="text-align: right"|post-application period<br />23 March - 17 April
 |
-# finish coding challenge with WER ~45%
+# finish coding challenge with WER ~55%
 # total 3660 stems in dix
@@ Line 82: / Line 82: @@
 # adding unknown words {{tag|postadv}} {{tag|ij}} {{tag|adv}}
 # adding transfer rules
-# 500-word evaluation, WER ~40%
+# 500-word evaluation, WER ~52%
@@ Line 183: / Line 183: @@
 |
 # total 9700 stems in dix
-# finish with WER ~30%
+# finish with WER ~50%
 # adding transfer rules

@@ Line 28: / Line 28: @@
 * Good WER
 * Clean testvoc
-* 8'000 stems in bidix (~700 stems per week, or ~100 per day)
+* ~10000 stems in bidix (~600 stems per week, or ~100 per day)
 * Additional rules:transfer, lexical, constraint grammar(~10 per week,or ~2 per day)
@@ Line 77: / Line 77: @@
 !style="text-align: right"| 1 - 22 June
 |
-# total 4200 stems in dix
+# total 4500 stems in dix
 # adding unknown words {{tag|postadv}} {{tag|ij}} {{tag|adv}}
 # adding transfer rules
@@ Line 91: / Line 91: @@
 !style="text-align: right"| 23 - 29 June
 |
-# total 4900 stems in dix
+# total 5100 stems in dix
 # adding unknown words {{tag|num}} {{tag|post}} {{tag|prn}} {{tag|det}}
 # adding transfer rules
@@ Line 102: / Line 102: @@
 !style="text-align: right"| 30 - 6 July
 |
-# total 5600 stems in dix
+# total 5700 stems in dix
 # adding unknown words {{tag|cnjcoo}} {{tag|cnjadv}} {{tag|cnjsub}}
 # adding transfer rules
@@ Line 128: / Line 128: @@
 !style="text-align: right"| 14 - 20 July
 |
-# total 7000 stems in dix
+# total 6900 stems in dix
 # clean testvoc for #
 # adding transfer rules
@@ Line 140: / Line 140: @@
 !style="text-align: right"| 21 - 27 July
 |
-# total 7700 stems in dix
+# total 7300 stems in dix
 # correcting tags and clean testvoc for #
 # adding transfer rules
@@ Line 150: / Line 150: @@
 !style="text-align: right"| 28 - 3 August
 |
-# total 8400 stems in dix
+# total 7900 stems in dix
 # adding transfer rules
@@ Line 160: / Line 160: @@
 !style="text-align: right"| 4 - 10 August
 |
-# total 9100 stems in dix
+# total 8500 stems in dix
 # correcting tags and clean testvoc for #
 # adding transfer rules
@@ Line 171: / Line 171: @@
 !style="text-align: right"| 11 - 17 August
 |
-# total 9800 stems in dix
+# total 9100 stems in dix
 # adding transfer rules
@@ Line 180: / Line 180: @@
 !style="text-align: right"| 18 - 22 August
 |
-# total 10500 stems in dix
+# total 9700 stems in dix
 # finish with WER ~30%
 # adding transfer rules

@@ Line 3: / Line 3: @@
 <br>'''E-mail address''':  sun27aida@gmail.com
 <br>'''Nick on the IRC #apertium channel''': Aida
-<br>'''Username at  [http://www.sourceforge.net GSoC 2014 Timeline]''': aida27
+<br>'''Username at  [http://www.sourceforge.net sourceforge]''': aida27
 ==Why is it you are interested in machine translation?==