Agglutinative languages such as Turkish, Finnish andHungarian require morphological
disambiguation beforefurther processing due to the complex morphologyof words. A …

In this paper, we present AnlamVer, which is a semantic model evaluation dataset for
Turkish designed to evaluate word similarity and word relatedness tasks while …

Many sentences create certain impressions on people. These impressions help the reader
to have an insight about the sentence via some entities. In NLP, this process corresponds to …

The agglutinative nature of the Turkish language has a complex morphological structure,
and there are generally more than one parse for a given word. Before further processing …

We built a pipeline to normalize Quechua texts through morphological analysis and
disambiguation. Word forms are analyzed by a set of cascaded finite state transducers which …

In this paper, we present our English-to-Turkish translation methodology, which adopts a
tree-based approach. Our approach relies on tree analysis and the application of structural …

In this paper, we present the first multilayer annotated corpus for Turkish, which is a low-
resourced agglutinative language. Our dataset consists of 9,600 sentences translated from …

Morphological disambiguation is the task of determining the contextually correct
morphological parses of tokens in a sentence. A morphological disambiguator takes in a set …

The nature of information literacy is changing as people incline more towards using digital
media to consume content. Consequently, this easier way of consuming information has …

This study extends our initial efforts in building an English-Turkish parallel treebank corpus
for statistical machine translation tasks. We manually generated parallel trees for about 17K …