This resource is a dictionary of Modern Turkish, comprised of the definitions of over 50.000 individual entries. Each entry is matched with its corresponding synset (set of synonymous words and expressions) in the Turkish WordNet, KeNet.
The bare-forms in the lexicon consists of nouns, adjectives, verbs, adverbs, shortcuts, etc. Each bare-form appears the same in the lexicon except verbs. Since the bare-forms of the verbs in Turkish do not have the infinitive affix ‘mAk’, our lexicon includes all verbs without the infinitive affix. The bare-forms with diacritics are included in two forms, with and without diacritics. For example, noun ‘rüzgar’ appear both as ‘rüzgar’ and ‘rüzgâr’.
Special markers are included as bare-forms such as doc, s, etc.
Some compound words are included in their affixed form. For instance, ‘acemlalesi’ appears as it is, but not as ‘acemlale’.
Foreign words, especially proper noun foreign words, are included, so that the system can easily recognize them as proper nouns. For instance, the words ‘abbott’, ‘abbigail’ are example foreign proper nouns. Including foreign proper nouns, there are 19,000 proper nouns in our lexicon.
From derivational suffixes, we only include words which has taken -lI, -sIz, -CI, -lIk, and -CIlIk derivational affixes. For example, the bare-forms ‘abacı’, ‘abdallık’, ‘abdestli’ and ‘abdestlilik’, are included, since they have taken one or more derivational affixes listed above.
Each bare-form has a set of attributes. For instance, ‘abacı’ is a noun, therefore, it includes CL_ISIM attribute. Similarly, ‘abdestli’ is an adjective, which includes IS_ADJ attribute. If the bare-form has homonyms with different part of speech tags, all corresponding attributes are included.
Name | Purpose |
---|---|
CL ISIM, CL FIIL, IS_OA | Part of speech tag(s) |
IS_DUP | Part of a duplicate form |
IS_KIS | Abbreviation, which does not obey vowel harmony while taking suffixes. |
IS_UU, IS_UUU | Does not obey vowel harmony while taking suffixes. |
IS_BILES | A portmanteau word in affixed form, such as ‘adamotu’ |
IS_B_SI | A portmanteau word ending with ‘sı’, such as ‘acemlalesi’ |
IS_CA | Already in a plural form, therefore can not take plural suffixes such as ‘ler’ or ‘lar’. |
IS_ST | The second consonant undergoes a resyllabification. |
IS_UD, IS_UDD, F_UD | Includes vowel epenthesis. |
IS_KG | Ends with a ‘k’, and when it is followed by a vowel-initial suffix, the final ‘k’ is replaced with a ‘g’. |
IS_SD, IS_SDD, F_SD | Final consonant gets devoiced during vowel-initial suffixation. |
F GUD, F_GUDO | The verb bare-form includes vowel reduction. |
F1P1, F1P1-NO-REF | A verb, and depending on this attribute, the verb can (or can not) take causative suffix, factitive suffix, passive suffix etc. |
You can also see Java, Python, Cython, C++, Swift, Js, or C# repository.
To check if you have compatible C Compiler installed,
- Open CLion IDE
- Preferences >Build,Execution,Deployment > Toolchain
Install the latest version of Git.
In order to work on code, create a fork from GitHub page. Use Git for cloning the code to your local or below line for Ubuntu:
git clone <your-fork-git-link>
A directory called Dictionary-C will be created. Or you can use below link for exploring the code:
git clone https://github.com/starlangsoftware/Dictionary-C.git
To import projects from Git with version control:
-
Open CLion IDE , select Get From Version Control.
-
In the Import window, click URL tab and paste github URL.
-
Click open as Project.
Result: The imported project is listed in the Project Explorer view and files are loaded.
From IDE
After being done with the downloading and opening project, select Build Project option from Build menu.
Dictionary is used in order to load Turkish dictionary or a domain specific dictionary. In addition, misspelled words and the true forms of the misspelled words can also be loaded.
To load the Turkish dictionary and the misspelled words dictionary,
a = create_txt_dictionary()
To load the domain specific dictionary and the misspelled words dictionary,
Txt_dictionary_ptr create_txt_dictionary3(char *file_name,
char *misspelled_file_name,
char *morphological_lexicon)
And to see if the dictionary involves a specific word, getWord is used.
Txt_word_ptr get_word_txt(Txt_dictionary_ptr txt_dictionary, char *name)
The word features: To see whether the TxtWord class of the dictionary is a noun or not,
bool is_nominal(Txt_word_ptr txt_word)
To see whether it is an adjective,
bool is_adjective(Txt_word_ptr txt_word)
To see whether it is a portmanteau word,
bool is_portmanteau(Txt_word_ptr txt_word)
To see whether it obeys vowel harmony,
bool not_obeys_vowel_harmony_during_agglutination(Txt_word_ptr txt_word)
And, to see whether it softens when it get affixes, the following is used.
bool root_soften_during_suffixation(Txt_word_ptr txt_word)
To syllabify the word, SyllableList class is used.
Syllable_list_ptr create_syllable_list(char *word)
@inproceedings{yildiz-etal-2019-open,
title = "An Open, Extendible, and Fast {T}urkish Morphological Analyzer",
author = {Y{\i}ld{\i}z, Olcay Taner and
Avar, Beg{\"u}m and
Ercan, G{\"o}khan},
booktitle = "Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)",
month = sep,
year = "2019",
address = "Varna, Bulgaria",
publisher = "INCOMA Ltd.",
url = "https://www.aclweb.org/anthology/R19-1156",
doi = "10.26615/978-954-452-056-4_156",
pages = "1364--1372",
}