A SENTENCE GENERATION METHOD FOR RULE-BASED LANGUAGES; AN EXAMPLE FROM TURKISH

Abstract: The most widely used language families today are Altaic, Indo-European, Hami-Semitic and Sino-Tietic. When these language families are evaluated in terms of phonology, morphology and syntax, it is clear that Altaic languages are the most advanced language family. The grammar of languages belonging to the Altaic language family are regular and logical. Due to these features, they are very suitable for artificial intelligence applications. It is difficult to say that Indo-European languages are rule-based like Altaic languages. There are many irregularities in these languages. Therefore, irregular situations must be memorized and sentences must be constructed according to certain patterns. In the first part of this article, the basic grammatical features of Altaic languages were introduced based on Turkish. In the second part of the article, first, it is shown how a sentence can be created using the grammatical features of Turkish language. A program was prepared to test and prove the introduced model and method. The proposed method was tested with this program and the results confirmed the suggestion. The developed method can be used in other Altaic languages with minor adaptations.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-24
DOI
https://doi.org/10.5281/zenodo.15273112
Primary Topic
Linguistics and Cultural Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A SENTENCE GENERATION METHOD FOR RULE-BASED LANGUAGES; AN EXAMPLE FROM TURKISH

Zenodo (CERN European Organization for Nuclear Research)
Linguistics and Cultural Studies
article

A SENTENCE GENERATION METHOD FOR RULE-BASED LANGUAGES; AN EXAMPLE FROM TURKISH

article en

Abstract

Abstract: The most widely used language families today are Altaic, Indo-European, Hami-Semitic and Sino-Tietic. When these language families are evaluated in terms of phonology, morphology and syntax, it is clear that Altaic languages are the most advanced language family. The grammar of languages belonging to the Altaic language family are regular and logical. Due to these features, they are very suitable for artificial intelligence applications. It is difficult to say that Indo-European languages are rule-based like Altaic languages. There are many irregularities in these languages. Therefore, irregular situations must be memorized and sentences must be constructed according to certain patterns. In the first part of this article, the basic grammatical features of Altaic languages were introduced based on Turkish. In the second part of the article, first, it is shown how a sentence can be created using the grammatical features of Turkish language. A program was prepared to test and prove the introduced model and method. The proposed method was tested with this program and the results confirmed the suggestion. The developed method can be used in other Altaic languages with minor adaptations.

Zenodo (CERN European Organization for Nuclear Research)
Istanbul Technical University (TR)
Quality Education
Openalex Percentile: Top 47%
Linguistics and Cultural Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A SENTENCE GENERATION METHOD FOR RULE-BASED LANGUAGES; AN EXAMPLE FROM TURKISH · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS