The Key Element of Translator-Computer Interaction: Natural Language Processing

Sevda Pekcoşkun Güner

Article Details

The Key Element of Translator-Computer Interaction: Natural Language Processing

Authors:

Sevda Pekcoşkun Güner

Publisher:

Karamanoglu Mehmetbey University

Main Topics:

Dil Çalışmaları

Journal:

Karamanoğlu Mehmetbey Üniversitesi Uluslararası Filoloji ve Çeviribilim Dergisi Vol.5 Issue 1, pp.56-79

Document Type:

Article

Publication Date:

6/2023

Document Language:

Turkish

Document ID (Org No.):

2001292018

pISSN:

2687-5586

Keywords:

Abstract:

 Natural language processing NLP, a subfield of artificial intelligence, has led to the development of many products that affect everyday life, especially in recent years. Developed to learn human language, NLP techniques that enable machines to communicate effectively with humans have led to a paradigm shift not only in linguistics, but also in translation studies. Translation aids such as machine translation systems, automatic summarization tools, terminology management systems, and text review and proofreading applications have been designed with NLP techniques. These tools are continuously updated and improved in parallel with user expectations and the developments in the field of artificial intelligence. One of the most fundamental areas of NLP is machine translation. NLP-based language models are continuously trained in order to improve translation quality, and more successful results can be achieved by incorporating contextual information into the system functioning. The aim of this study is to discuss the role of NLP tools and techniques in translating process. To this end, firstly, the concept of NLP will be discussed and how NLP-based applications affect translation activity will be emphasized. Then, NLP-based applications used by translators, especially machine translation technologies, will be analyzed from a translation-oriented perspective.

 Natural language processing NLP, a subfield of artificial intelligence, has led to the development of many products that affect everyday life, especially in recent years. Developed to learn human language, NLP techniques that enable machines to communicate effectively with humans have led to a paradigm shift not only in linguistics, but also in translation studies. Translation aids such as machine translation systems, automatic summarization tools, terminology management systems, and text review and proofreading applications have been designed with NLP techniques. These tools are continuously updated and improved in parallel with user expectations and the developments in the field of artificial intelligence. One of the most fundamental areas of NLP is machine translation. NLP-based language models are continuously trained in order to improve translation quality, and more successful results can be achieved by incorporating contextual information into the system functioning. The aim of this study is to discuss the role of NLP tools and techniques in translating process. To this end, firstly, the concept of NLP will be discussed and how NLP-based applications affect translation activity will be emphasized. Then, NLP-based applications used by translators, especially machine translation technologies, will be analyzed from a translation-oriented perspective.

 Natural language processing NLP, a subfield of artificial intelligence, has led to the development of many products that affect everyday life, especially in recent years. Developed to learn human language, NLP techniques that enable machines to communicate effectively with humans have led to a paradigm shift not only in linguistics, but also in translation studies. Translation aids such as machine translation systems, automatic summarization tools, terminology management systems, and text review and proofreading applications have been designed with NLP techniques. These tools are continuously updated and improved in parallel with user expectations and the developments in the field of artificial intelligence. One of the most fundamental areas of NLP is machine translation. NLP-based language models are continuously trained in order to improve translation quality, and more successful results can be achieved by incorporating contextual information into the system functioning. The aim of this study is to discuss the role of NLP tools and techniques in translating process. To this end, firstly, the concept of NLP will be discussed and how NLP-based applications affect translation activity will be emphasized. Then, NLP-based applications used by translators, especially machine translation technologies, will be analyzed from a translation-oriented perspective.

 Yapay zekânın bir alt alanı olan doğal dil işleme, özellikle son yıllarda gündelik yaşamı etkileyen birçok ürünün ortaya çıkmasını sağlamıştır. İnsan dilini öğrenerek makinenin insanla etkili bir şekilde iletişime geçmesini sağlamak üzere geliştirilen doğal dil işleme teknikleri, yalnızca dilbilimde değil, çeviribilim alanında da paradigma değişikliklerine neden olmuştur. Makine çevirisi sistemleri, otomatik özetleme araçları, terim yönetim sistemleri, metin düzenleme ve düzeltme uygulamaları gibi çeviriye yardımcı araçlar, doğal dil işleme teknikleriyle tasarlanmıştır. Söz konusu araçlar, yapay zekâ alanındaki gelişmelerle paralel olarak sürekli güncellenmekte ve kullanıcı beklentilerine göre iyileştirilmektedir. Doğal dil işlemenin en temel çalışma alanlarından biri makine çevirisidir. Doğal dil işleme tabanlı dil modelleri, çeviri kalitesinin artırılması için sürekli olarak eğitilmekte; bağlama dayalı bilginin sistem işleyişine eklemlenmesiyle daha başarılı sonuçlar elde edebilmektedir. Bu çalışmanın amacı, doğal dil işleme araçları ve tekniklerinin günümüz çeviri sürecindeki konumunu tartışmaktır. Bu doğrultuda, öncelikle doğal dil işleme kavramından söz edilecek ve doğal dil işleme uygulamalarının çeviri etkinliğini nasıl etkilediği üzerinde durulacaktır. Ardından başta makine çevirisi teknolojileri olmak üzere çevirmenler tarafından kullanılan doğal dil işleme tabanlı uygulamalar, çeviri odaklı bir bakış açısıyla incelenmeye çalışılacaktır.

Article Details

The Key Element of Translator-Computer Interaction: Natural Language Processing

Authors:

Sevda Pekcoşkun Güner

Publisher:

Karamanoglu Mehmetbey University

Main Topics:

Dil Çalışmaları

Journal:

Karamanoğlu Mehmetbey Üniversitesi Uluslararası Filoloji ve Çeviribilim Dergisi Vol.5 Issue 1, pp.56-79

Document Type:

Article

Publication Date:

6/2023

Document Language:

Turkish

Document ID (Org No.):

2001292018

pISSN:

2687-5586

Artificial intelligence

Natural language processing

Machine translation

Automatic text summarizationYapay zekâ

Doğal dil işleme

Makine çevirisi

Otomatik metin özetleme

Issues

Article Details

Authors: Sevda Pekcoşkun Güner

Publisher: Karamanoglu Mehmetbey University

Main Topics: Dil Çalışmaları

Journal: Karamanoğlu Mehmetbey Üniversitesi Uluslararası Filoloji ve Çeviribilim Dergisi Vol.5 Issue 1, pp.56-79

Document Type: Article

Publication Date: 6/2023

Document Language: Turkish

Document ID (Org No.): 2001292018

pISSN: 2687-5586

Issues

Authors:

Sevda Pekcoşkun Güner

Publisher:

Karamanoglu Mehmetbey University

Main Topics:

Dil Çalışmaları

Journal:

Karamanoğlu Mehmetbey Üniversitesi Uluslararası Filoloji ve Çeviribilim Dergisi Vol.5 Issue 1, pp.56-79

Document Type:

Article

Publication Date:

6/2023

Document Language:

Turkish

Document ID (Org No.):

2001292018

pISSN:

2687-5586