@inproceedings{bakay-etal-2026-dependency,
title = "From Dependency to {CCG} to Incremental {CCG}: Approaches to Flexible Word Order in {T}urkish",
author = {Bakay, {\"O}zge and
Y{\i}ld{\i}z, O{\u{g}}uz Kerem and
Bhatt, Rajesh and
Dillon, Brian and
Yildiz, Olcay Taner},
editor = "Bonial, Claire and
Berzak, Yevgeni",
booktitle = "Proceedings of the 30th Conference on Computational Natural Language Learning",
month = jul,
year = "2026",
address = "San Diego, California, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.conll-main.36/",
pages = "601--612",
ISBN = "979-8-89176-410-1",
abstract = "Combinatory Categorial Grammar (CCG), a lexicalized formalism known for its flexible constituency, is well-suited for modeling headfinal languages with flexible word order like Turkish. Building on Kuzgun et al. (2023), we first develop a Turkish CCG lexicon by automatically inducing categories from a dependency treebank. By leveraging standard and extended operations tailored to Turkish syntax, our parser achieves a robust coverage of 92.5{\%}. Furthermore, we introduce the first (partially) incremental, left-to-right CCG parser for Turkish, designed to facilitate the immediate integration of words into the evolving representation. Finally, we present an example experiment showing that CCG parsers can model psycholinguistic evidence for extra processing costs associated with arguments in noncanonical positions, via the frequency of order-reversing operations. These findings provide evidence that CCG offers a cognitively plausible framework for modeling real-time processing in languages like Turkish."
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%0 Conference Proceedings
%T From Dependency to CCG to Incremental CCG: Approaches to Flexible Word Order in Turkish
%A Bakay, Özge
%A Yıldız, Oğuz Kerem
%A Bhatt, Rajesh
%A Dillon, Brian
%A Yildiz, Olcay Taner
%Y Bonial, Claire
%Y Berzak, Yevgeni
%S Proceedings of the 30th Conference on Computational Natural Language Learning
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-410-1
%F bakay-etal-2026-dependency
%X Combinatory Categorial Grammar (CCG), a lexicalized formalism known for its flexible constituency, is well-suited for modeling headfinal languages with flexible word order like Turkish. Building on Kuzgun et al. (2023), we first develop a Turkish CCG lexicon by automatically inducing categories from a dependency treebank. By leveraging standard and extended operations tailored to Turkish syntax, our parser achieves a robust coverage of 92.5%. Furthermore, we introduce the first (partially) incremental, left-to-right CCG parser for Turkish, designed to facilitate the immediate integration of words into the evolving representation. Finally, we present an example experiment showing that CCG parsers can model psycholinguistic evidence for extra processing costs associated with arguments in noncanonical positions, via the frequency of order-reversing operations. These findings provide evidence that CCG offers a cognitively plausible framework for modeling real-time processing in languages like Turkish.
%U https://aclanthology.org/2026.conll-main.36/
%P 601-612
Markdown (Informal)
[From Dependency to CCG to Incremental CCG: Approaches to Flexible Word Order in Turkish](https://aclanthology.org/2026.conll-main.36/) (Bakay et al., CoNLL 2026)
ACL