Recent work on end-to-end neural network-based architectures for machine translation has
shown promising results for En-Fr and En-De translation. Arguably, one of the major factors …

Neural Machine Translation (NMT) has obtained state-of-the art performance for several
language pairs, while only using parallel data for training. Target-side monolingual data …

Recent advances in end-to-end neural machine translation models have achieved
promising results on high-resource language pairs such as En→ Fr and En→ De. One of the …

The necessity of using a fixed-size word vocabulary in order to control the model complexity
in state-of-the-art neural machine translation (NMT) systems is an important bottleneck on …

In this paper, we propose a set of language resources for building Turkish language
processing applications. Specifically, we present a finite-state implementation of a …

This paper summarizes our recent efforts for building a Turkish Broadcast News transcription
and retrieval system. The agglutinative nature of Turkish leads to a high number of out-of …

İnsanlık tarihinde dil önemli bir yer tutmaktadır. İnsanlar dil aracılığı ile birbirleriyle iletişim
kurabilmiş ve anlaşabilmişlerdir. Diller zamanla gelişmiş ve hâlâ gelişmektedirler. Dillere …

Having a morphological analyzer is a very critical issue especially for NLP related tasks on
agglutinative languages. This paper presents a detailed computational analysis of Kazakh …

We present a set of language resources and tools—a morphological parser, a
morphological disambiguator, and a text corpus—for exploiting Turkish morphology in …

In this paper, we propose a comparison of Lexicon based and Machine Learning based
sentiment analysis methods on Turkish social media. We formed a lexicon based SA method …