Translating Between Morphologically Rich Languages: An Arabic-to-Turkish Machine Translation System

no code implementations • WS 2019 • {\.I}lknur Durgar El-Kahlout, Emre Bekta{\c{s}}, Naime {\c{S}}eyma Erdem, Hamza Kaya

This paper introduces the work on building a machine translation system for Arabic-to-Turkish in the news domain.

Machine Translation Translation

T\"UB\.ITAK SMT System Submission for WMT2016

no code implementations • WS 2016 • Emre Bekta{\c{s}}, Ertu{\u{g}}rul Yilmaz, Co{\c{s}}kun Mermer, {\.I}lknur Durgar El-Kahlout

Language Modelling Machine Translation

Initial Explorations in Two-phase Turkish Dependency Parsing by Incorporating Constituents

no code implementations • WS 2014 • {\.I}lknur Durgar El-Kahlout, Ahmet Af{\c{s}}{\i}n Ak{\i}n, Ertu{\v{g}}rul Y{\i}lmaz

Dependency Parsing Vocal Bursts Valence Prediction

T\"UB\.ITAK-B\.ILGEM German-English Machine Translation Systems for W13

no code implementations • WS 2013 • {\.I}lknur Durgar El-Kahlout, Co{\c{s}}kun Mermer

Language Modelling Machine Translation +1

A Case Study Towards Turkish Paraphrase Alignment

no code implementations • WS 2013 • Seniz Demir, {\.I}lknur Durgar El-Kahlout, Erdem Unal

Machine Translation Natural Language Inference +2

Turkish Paraphrase Corpus

no code implementations • LREC 2012 • Seniz Demir, {\.I}lknur Durgar El-Kahlout, Erdem Unal, Hamza Kaya

Paraphrases are alternative syntactic forms in the same language expressing the same semantic content.

Machine Translation Question Answering +3