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Journals / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2014 / Cilt: 32 - Sayı: 1

PREDICTION OF FUNCTION TAGS OF THE SIMPLE TURKISH SENTENCES BY CONDITIONAL RANDOM FIELDS

Mustafa AYGÜL
Gürkan KARAALİOĞLU
M. Fatih AMASYALI
Pages
23–30
Publication Date
2014-03-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result, we achieved 75% success ratio on our datasets having 2000 simple sentences.

📌 3 Key Takeaways

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Objective & Hypothesis:The prediction of function tags is a key component of several natural language tasks.
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Key Findings & Data:In this study, Conditional Random Fields are employed for Turkish sentences.
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Conclusion & Impact:As a result, we achieved 75% success ratio on our datasets having 2000 simple sentences.
🔬Design:Research Article
📍Scope:2000 Verileri
⚙️Variables:Natural language processing · dependency parsing · artificial intelligence

Abstract

The prediction of function tags is a key component of several natural language tasks. In this study, Conditional Random Fields are employed for Turkish sentences. The affects of the size of training set, the usage of morphological features of the words are investigated. As a result, we achieved 75% success ratio on our datasets having 2000 simple sentences.

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Cite This Article

AYGÜL, M., KARAALİOĞLU, G., AMASYALI, M. F. (2014). PREDICTION OF FUNCTION TAGS OF THE SIMPLE TURKISH SENTENCES BY CONDITIONAL RANDOM FIELDS. Sigma Mühendislik ve Fen Bilimleri Dergisi, Cilt: 32 - Sayı: 1, 23–30. https://ajindex.com/articles/419374

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