References
Abilbekov, Adal, Saida Mussakhojayeva, Rustem Yeshpanov, and Huseyin
Atakan Varol. 2024.
“KazEmoTTS: A Dataset for
Kazakh Emotional Text-to-Speech Synthesis.” In
Proceedings of the 2024 Joint International Conference on
Computational Linguistics, Language Resources and Evaluation
(LREC-COLING 2024), 9626–32. Torino,
Italia: ELRA; ICCL. https://aclanthology.org/2024.lrec-main.841/.
Adelani, David Ifeoluwa, Hannah Liu, Xiaoyu Shen, Nikita Vassilyev,
Jesujoba O. Alabi, Yanke Mao, Haonan Gao, and En-Shiun Annie Lee. 2024.
“SIB-200: A Simple, Inclusive, and Big Evaluation
Dataset for Topic Classification in 200+ Languages and Dialects.”
In Proceedings of the 18th Conference of the European
Chapter of the Association for Computational
Linguistics (Volume 1: Long Papers), 226–45. St.
Julian’s, Malta: Association for Computational Linguistics.
https://doi.org/10.18653/v1/2024.eacl-long.14.
Agostini, Alessandro, Timur Usmanov, Ulugbek Khamdamov, Nilufar
Abdurakhmonova, and Mukhammadsaid Mamasaidov. 2021.
“UZWORDNET: A Lexical-Semantic Database for the
Uzbek Language.” In Proceedings of the 11th
Global Wordnet Conference, 8–19. University of South
Africa (UNISA): Global Wordnet Association. https://doi.org/10.18653/v1/2021.gwc-1.2.
Akhundjanova, Arofat, Furkan Akkurt, Bermet Chontaeva, Soudabeh Eslami,
and Çağrı Çöltekin. 2025. “Parallel Universal
Dependencies Treebanks for Turkic
Languages.” In Proceedings of the Eighth Workshop on
Universal Dependencies (UDW,
SyntaxFest 2025), 129–36. Ljubljana,
Slovenia: Association for Computational Linguistics. https://aclanthology.org/2025.udw-1.14/.
AKIpress. 2024. “Turkic Academy Publishes Declaration on Common
Turkic Alphabet.” AKIpress News Agency, 17 September
2024. https://akipress.com/news:796275:Turkic_Academy_publishes_Declaration_on_common_Turkic_alphabet/.
Akın, Ahmet Afşin, and Mehmet Dündar Akın. 2007. “Zemberek, an
Open Source NLP Framework for Turkic
Languages.” Project white paper.
Aksan, Yeşim, Mustafa Aksan, Ahmet Koltuksuz, Taner Sezer, Ümit
Mersinli, Umut Ufuk Demirhan, Hakan Yılmazer, et al. 2012.
“Construction of the Turkish National Corpus
(TNC).” In Proceedings of the Eighth
International Conference on Language Resources and Evaluation
(LREC’12), 3223–27. Istanbul, Turkey: European
Language Resources Association (ELRA). https://aclanthology.org/L12-1590/.
Alecakir, Huseyin, Necva Bölücü, and Burcu Can. 2022.
“TurkishDelightNLP: A
Neural Turkish NLP Toolkit.” In
Proceedings of the 2022 Conference of the North
American Chapter of the Association for
Computational Linguistics: Human Language
Technologies: System Demonstrations, 17–26. Hybrid: Seattle,
Washington + Online: Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.naacl-demo.3.
Alekseev, Anton, and Gulnara Kabaeva. 2024.
“HJ-Ky-0.1: An Evaluation Dataset for
Kyrgyz Word Embeddings.” arXiv preprint
arXiv:2411.10724. https://arxiv.org/abs/2411.10724.
Ardila, Rosana, Megan Branson, Kelly Davis, Michael Kohler, Josh Meyer,
Michael Henretty, Reuben Morais, Lindsay Saunders, Francis Tyers, and
Gregor Weber. 2020. “Common Voice: A Massively-Multilingual Speech
Corpus.” In Proceedings of the Twelfth Language Resources and
Evaluation Conference, 4218–22. Marseille, France: European
Language Resources Association. https://aclanthology.org/2020.lrec-1.520/.
Artetxe, Mikel, and Holger Schwenk. 2019. “Margin-Based Parallel
Corpus Mining with Multilingual Sentence Embeddings.” In
Proceedings of the 57th Annual Meeting of the
Association for Computational
Linguistics, 3197–3203. Florence, Italy: Association
for Computational Linguistics. https://doi.org/10.18653/v1/P19-1309.
Aslan, Ozkan, Serkan Gunal, and Bekir Taner Dincer. 2018. “On
Constituent Chunking for Turkish.” Information
Processing & Management 54 (6): 1262–76. https://doi.org/10.1016/j.ipm.2018.05.004.
Azmat, Anwar, Li Xiao, Yang Yating, Dong Rui, and Osman Turghun. 2020.
“Constructing Uyghur Name Entity Recognition System
Using Neural Machine Translation Tag Projection.” In
Proceedings of the 19th Chinese National Conference on
Computational Linguistics, 1006–16. Haikou, China: Chinese
Information Processing Society of China. https://aclanthology.org/2020.ccl-1.93/.
Bakay, Özge, Özlem Ergelen, Elif Sarmış, Selin Yıldırım, Bilge Nas
Arıcan, Atilla Kocabalcıoğlu, Merve Özçelik, et al. 2021.
“Turkish WordNet
KeNet.” In Proceedings of the 11th
Global Wordnet Conference, 166–74. University of South
Africa (UNISA): Global Wordnet Association. https://doi.org/10.18653/v1/2021.gwc-1.19.
Bandarkar, Lucas, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya
Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke
Zettlemoyer, and Madian Khabsa. 2024. “The Belebele Benchmark: A
Parallel Reading Comprehension Dataset in 122 Language Variants.”
In Proceedings of the 62nd Annual Meeting of the
Association for Computational
Linguistics (Volume 1: Long Papers), 749–75. Bangkok,
Thailand: Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.acl-long.44.
Baysan, Mehmet Selman, and Tunga Gungor. 2025.
“TR-MTEB: A Comprehensive Benchmark and
Embedding Model Suite for Turkish Sentence
Representations.” In Findings of the Association
for Computational Linguistics:
EMNLP 2025, 8867–87. Suzhou, China: Association for
Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-emnlp.471.
Beken Fikri, Figen, Kemal Oflazer, and Berrin Yanıkoğlu. 2021.
“Turkish Dataset for Semantic Textual Similarity
[Anlamsal Metin Benzerliği için Türkçe Veri
Kümesi].” In 29th Signal Processing and Communications
Applications Conference (SIU), 1–4. IEEE. https://doi.org/10.1109/SIU53274.2021.9477982.
Bird, Steven. 2020. “Decolonising Speech and Language
Technology.” In Proceedings of the 28th International
Conference on Computational Linguistics, 3504–19. Barcelona, Spain
(Online): International Committee on Computational Linguistics. https://doi.org/10.18653/v1/2020.coling-main.313.
Budur, Emrah, Rıza Özçelik, Tunga Gungor, and Christopher Potts. 2020.
“Data and Representation for Turkish
Natural Language
Inference.” In Proceedings of the 2020
Conference on Empirical Methods in Natural Language Processing
(EMNLP), 8253–67. Online: Association for
Computational Linguistics. https://doi.org/10.18653/v1/2020.emnlp-main.662.
Burchell, Laurie, Alexandra Birch, Nikolay Bogoychev, and Kenneth
Heafield. 2023. “An Open Dataset and Model for Language
Identification.” In Proceedings of the 61st Annual Meeting of
the Association for Computational
Linguistics (Volume 2: Short Papers), 865–79. Toronto,
Canada: Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.acl-short.75.
Burchell, Laurie, Ona de Gibert, Nikolay Arefyev, Mikko Aulamo, Marta
Bañón, Pinzhen Chen, Mariia Fedorova, et al. 2025. “An Expanded
Massive Multilingual Dataset for High-Performance Language Technologies
(HPLT).” In Proceedings of the 63rd Annual
Meeting of the Association for Computational
Linguistics (Volume 1: Long Papers), 17452–85. Vienna,
Austria: Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.acl-long.854.
Can, Fazli, Seyit Kocberber, Erman Balcik, Cihan Kaynak, H. Cagdas
Ocalan, and Onur M. Vursavas. 2008. “Information Retrieval on
Turkish Texts.” Journal of the American Society
for Information Science and Technology 59 (3): 407–21. https://doi.org/10.1002/asi.20750.
Carroll, Stephanie Russo, Ibrahim Garba, Oscar L. Figueroa-Rodríguez,
Jarita Holbrook, Raymond Lovett, Simeon Materechera, Mark Parsons, et
al. 2020. “The CARE Principles for Indigenous Data
Governance.” Data Science Journal 19: 43. https://doi.org/10.5334/dsj-2020-043.
Chalamalasetti, Kranti, Jana Götze, Sherzod Hakimov, Brielen Madureira,
Philipp Sadler, and David Schlangen. 2023. “Clembench: Using Game
Play to Evaluate Chat-Optimized Language Models as Conversational
Agents.” In Proceedings of the 2023 Conference on Empirical
Methods in Natural Language Processing, 11174–219. Singapore:
Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.emnlp-main.689.
Chen, Jianlyu, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, and Zheng
Liu. 2024. “M3-Embedding: Multi-Linguality,
Multi-Functionality, Multi-Granularity Text Embeddings Through
Self-Knowledge Distillation.” In Findings of the
Association for Computational
Linguistics: ACL 2024, 2318–35. Bangkok,
Thailand: Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-acl.137.
Chen, Sanyuan, Chengyi Wang, Yu Wu, Ziqiang Zhang, Long Zhou, Shujie
Liu, Zhuo Chen, et al. 2025. “Neural Codec Language Models Are
Zero-Shot Text to Speech Synthesizers.” IEEE Transactions on
Audio, Speech and Language Processing 33: 705–18. https://doi.org/10.1109/TASLPRO.2025.3530270.
Çöltekin, Çağrı. 2010. “A Freely Available Morphological Analyzer
for Turkish.” In Proceedings of the Seventh
International Conference on Language Resources and Evaluation
(LREC’10). Valletta, Malta: European Language
Resources Association (ELRA). https://aclanthology.org/L10-1068/.
Çöltekin, Çağrı, A. Seza Doğruöz, and Özlem Çetinoğlu. 2023.
“Resources for Turkish Natural Language Processing: A
Critical Survey.” Language Resources and Evaluation 57
(1): 449–88. https://doi.org/10.1007/s10579-022-09605-4.
Conneau, Alexis, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary,
Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke
Zettlemoyer, and Veselin Stoyanov. 2020. “Unsupervised
Cross-Lingual Representation Learning at Scale.” In
Proceedings of the 58th Annual Meeting of the
Association for Computational
Linguistics, 8440–51. Online: Association for
Computational Linguistics. https://doi.org/10.18653/v1/2020.acl-main.747.
Conneau, Alexis, Min Ma, Simran Khanuja, Yu Zhang, Vera Axelrod,
Siddharth Dalmia, Jason Riesa, Clara Rivera, and Ankur Bapna. 2023.
“FLEURS: Few-Shot Learning Evaluation of Universal
Representations of Speech.” In 2022 IEEE Spoken Language
Technology Workshop (SLT), 798–805. IEEE. https://doi.org/10.1109/SLT54892.2023.10023141.
Devlet, Nadir, ed. 1992. Milletlerarası Çağdaş Türk
Alfabeleri Sempozyumu, 18–20 Kasım 1991. Marmara Üniversitesi Yayın
No. 509; Türkiyat Araştırmaları Enstitüsü Yayın No. 1. Istanbul: Marmara
Üniversitesi Türkiyat Araştırmaları Enstitüsü. https://mupress-source.marmara.edu.tr/1366-file-pdf-milletlerarasi-cagdas-turk-alfabeleri-sempozyumu-18-20-kasim-1991_1783668182.pdf.
Devlin, Jacob, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019.
“BERT: Pre-Training of Deep Bidirectional
Transformers for Language Understanding.” In Proceedings of
the 2019 Conference of the North American
Chapter of the Association for Computational
Linguistics: Human Language Technologies, Volume 1 (Long
and Short Papers), 4171–86. Minneapolis, Minnesota: Association for
Computational Linguistics. https://doi.org/10.18653/v1/N19-1423.
Dozat, Timothy, and Christopher D. Manning. 2017. “Deep Biaffine
Attention for Neural Dependency Parsing.” In 5th
International Conference on Learning Representations
(ICLR). https://openreview.net/forum?id=Hk95PK9le.
Eryiğit, Gülşen, Joakim Nivre, and Kemal Oflazer. 2008.
“Dependency Parsing of Turkish.”
Computational Linguistics 34 (3): 357–89. https://doi.org/10.1162/coli.2008.07-017-R1-06-83.
Feng, Fangxiaoyu, Yinfei Yang, Daniel Cer, Naveen Arivazhagan, and Wei
Wang. 2022. “Language-Agnostic BERT Sentence
Embedding.” In Proceedings of the 60th Annual Meeting of the
Association for Computational
Linguistics (Volume 1: Long Papers), 878–91. Dublin,
Ireland: Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.acl-long.62.
Forcada, Mikel L., Mireia Ginestí-Rosell, Jacob Nordfalk, Jim O’Regan,
Sergio Ortiz-Rojas, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez,
Gema Ramírez-Sánchez, and Francis M. Tyers. 2011. “Apertium: A
Free/Open-Source Platform for Rule-Based Machine Translation.”
Machine Translation 25 (2): 127–44. https://doi.org/10.1007/s10590-011-9090-0.
Gibert, Ona de, Graeme Nail, Nikolay Arefyev, Marta Bañón, Jelmer van
der Linde, Shaoxiong Ji, Jaume Zaragoza-Bernabeu, et al. 2024. “A
New Massive Multilingual Dataset for High-Performance Language
Technologies.” In Proceedings of the 2024 Joint International
Conference on Computational Linguistics, Language Resources and
Evaluation (LREC-COLING 2024), 1116–28.
Torino, Italia: ELRA; ICCL. https://aclanthology.org/2024.lrec-main.100/.
Gökçür, Engin. 2016. “Primary Long Vowels in Turkmen
Turkish [Türkmen Türkçesinde
Birincil Uzun Ünlüler].” The Journal of Academic Social
Science Studies 6 (47): 235–53. https://doi.org/10.9761/JASSS3460.
Graves, Alex. 2012. “Sequence Transduction with Recurrent Neural
Networks.” arXiv preprint arXiv:1211.3711. https://arxiv.org/abs/1211.3711.
Graves, Alex, Santiago Fernández, Faustino Gomez, and Jürgen
Schmidhuber. 2006. “Connectionist Temporal Classification:
Labelling Unsegmented Sequence Data with Recurrent Neural
Networks.” In Proceedings of the 23rd International
Conference on Machine Learning (ICML), 369–76. ACM. https://doi.org/10.1145/1143844.1143891.
Hakimov, Sherzod. 2026. “TurkicNLP: An
NLP Toolkit for Turkic Languages.”
arXiv preprint arXiv:2602.19174. https://arxiv.org/abs/2602.19174.
Hakkani-Tür, Dilek Z., Kemal Oflazer, and Gökhan Tür. 2000.
“Statistical Morphological Disambiguation for Agglutinative
Languages.” In COLING 2000 Volume 1: The 18th
International Conference on Computational Linguistics. https://aclanthology.org/C00-1042/.
Hasan, Tahmid, Abhik Bhattacharjee, Md. Saiful Islam, Kazi Mubasshir,
Yuan-Fang Li, Yong-Bin Kang, M. Sohel Rahman, and Rifat Shahriyar. 2021.
“XL-Sum: Large-Scale Multilingual Abstractive
Summarization for 44 Languages.” In Findings of the
Association for Computational
Linguistics: ACL-IJCNLP
2021, 4693–703. Online: Association for Computational Linguistics.
https://doi.org/10.18653/v1/2021.findings-acl.413.
Heffernan, Kevin, Onur Çelebi, and Holger Schwenk. 2022. “Bitext
Mining Using Distilled Sentence Representations for Low-Resource
Languages.” In Findings of the Association for
Computational Linguistics: EMNLP
2022, 2101–12. Abu Dhabi, United Arab Emirates: Association for
Computational Linguistics. https://doi.org/10.18653/v1/2022.findings-emnlp.154.
Hoffman, Beryl. 1994. “Generating Context Appropriate Word Orders
in Turkish.” In Proceedings of the Seventh
International Workshop on Natural Language Generation. https://aclanthology.org/W94-0314/.
HPLT Consortium. 2025. “HPLT Monolingual Datasets
v3.0.” https://hplt-project.org/datasets/v3.0.
Hu, Edward J., Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi
Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022.
“LoRA: Low-Rank Adaptation of Large Language
Models.” In The Tenth International Conference on Learning
Representations (ICLR). https://openreview.net/forum?id=nZeVKeeFYf9.
Imani, Ayyoob, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini,
Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, et al. 2023.
“Glot500: Scaling Multilingual Corpora and Language
Models to 500 Languages.” In Proceedings of the 61st Annual
Meeting of the Association for Computational
Linguistics (Volume 1: Long Papers), 1082–1117.
Toronto, Canada: Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.acl-long.61.
Institute of Smart Systems and Artificial Intelligence (ISSAI). 2024.
“KAZ-LLM: Large Language Models for
Kazakh.” Model release on the Hugging Face Hub. https://huggingface.co/issai/LLama-3.1-KazLLM-1.0-8B.
Isbarov, Jafar, Arofat Akhundjanova, Mammad Hajili, Kavsar Huseynova,
Dmitry Gaynullin, Anar Rzayev, Osman Tursun, et al. 2025.
“TUMLU: A Unified and Native Language Understanding
Benchmark for Turkic Languages.” In Proceedings
of the 63rd Annual Meeting of the Association for
Computational Linguistics (Volume 1: Long
Papers), 22816–38. Vienna, Austria: Association for Computational
Linguistics. https://doi.org/10.18653/v1/2025.acl-long.1112.
Johanson, Lars. 2021. Turkic. Cambridge Language Surveys.
Cambridge University Press. https://doi.org/10.1017/9781139016704.
Johanson, Lars, and Éva Á. Csató, eds. 1998. The Turkic
Languages. Routledge Language Family Descriptions. Routledge.
Jurafsky, Daniel, and James H. Martin. 2024. Speech and Language
Processing. 3rd ed.
Kara, Neslihan, Deniz Baran Aslan, Büşra Marşan, Özge Bakay, Koray Ak,
and Olcay Taner Yıldız. 2020. “TRopBank:
Turkish PropBank
V2.0.” In Proceedings of the Twelfth Language
Resources and Evaluation Conference, 2763–72. Marseille, France:
European Language Resources Association. https://aclanthology.org/2020.lrec-1.336/.
Kargaran, Amir Hossein, Ayyoob Imani, François Yvon, and Hinrich
Schuetze. 2023. “GlotLID: Language
Identification for Low-Resource Languages.” In Findings of
the Association for Computational
Linguistics: EMNLP 2023, 6155–6218.
Singapore: Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.findings-emnlp.410.
Khanna, Tanmai, Jonathan N. Washington, Francis M. Tyers, Sevilay
Bayatlı, Daniel G. Swanson, Tommi A. Pirinen, Irene Tang, and Hèctor
Alòs i Font. 2021. “Recent Advances in Apertium, a
Free/Open-Source Rule-Based Machine Translation Platform for
Low-Resource Languages.” Machine Translation 35 (4):
475–502. https://doi.org/10.1007/s10590-021-09260-6.
Kim, Jaehyeon, Jungil Kong, and Juhee Son. 2021. “Conditional
Variational Autoencoder with Adversarial Learning for End-to-End
Text-to-Speech.” In Proceedings of the 38th International
Conference on Machine Learning (ICML), 139:5530–40.
Proceedings of Machine Learning Research. PMLR.
Kirillovich, Alexander, Marat Shaekhov, Alfiya Galieva, Olga Nevzorova,
Dmitry Ilvovsky, and Natalia Loukachevitch. 2021.
“TatWordNet: A Linguistic Linked Open Data-Integrated
WordNet Resource for Tatar.” In 3rd
Conference on Language, Data and Knowledge (LDK 2021), 93:16:1–12.
Open Access Series in Informatics (OASIcs). Schloss Dagstuhl –
Leibniz-Zentrum für Informatik. https://doi.org/10.4230/OASIcs.LDK.2021.16.
Ko, Tom, Vijayaditya Peddinti, Daniel Povey, and Sanjeev Khudanpur.
2015. “Audio Augmentation for Speech Recognition.” In
Proceedings of Interspeech 2015, 3586–89. ISCA. https://doi.org/10.21437/Interspeech.2015-711.
Koskenniemi, Kimmo. 1983. “Two-Level Morphology: A General
Computational Model for Word-Form Recognition and Production.”
Publication No. 11, University of Helsinki, Department of General
Linguistics.
Koto, Fajri, Rituraj Joshi, Nurdaulet Mukhituly, Yuxia Wang, Zhuohan
Xie, Rahul Pal, Daniil Orel, et al. 2025. “Sherkala-Chat: Building
a State-of-the-Art LLM for Kazakh in a
Moderately Resourced Setting.” In Second Conference on
Language Modeling (COLM). https://arxiv.org/abs/2503.01493.
Kreutzer, Julia, Isaac Caswell, Lisa Wang, Ahsan Wahab, Daan van Esch,
Nasanbayar Ulzii-Orshikh, Allahsera Tapo, et al. 2022. “Quality at
a Glance: An Audit of Web-Crawled Multilingual Datasets.”
Transactions of the Association for Computational Linguistics
10: 50–72. https://doi.org/10.1162/tacl_a_00447.
Kudo, Taku. 2018. “Subword Regularization: Improving Neural
Network Translation Models with Multiple Subword Candidates.” In
Proceedings of the 56th Annual Meeting of the
Association for Computational
Linguistics (Volume 1: Long Papers), 66–75. Melbourne,
Australia: Association for Computational Linguistics. https://doi.org/10.18653/v1/P18-1007.
Kudo, Taku, and John Richardson. 2018.
“SentencePiece: A Simple and Language
Independent Subword Tokenizer and Detokenizer for Neural Text
Processing.” In Proceedings of the 2018 Conference on
Empirical Methods in Natural Language Processing: System
Demonstrations, 66–71. Brussels, Belgium: Association for
Computational Linguistics. https://doi.org/10.18653/v1/D18-2012.
Kudugunta, Sneha, Isaac Caswell, Biao Zhang, Xavier Garcia, Derrick Xin,
Aditya Kusupati, Romi Stella, Ankur Bapna, and Orhan Firat. 2023.
“MADLAD-400: A Multilingual and Document-Level Large
Audited Dataset.” In Advances in Neural Information
Processing Systems 36 (NeurIPS 2023), Datasets and
Benchmarks Track.
Kulmizev, Artur, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, and
Joakim Nivre. 2019. “Deep Contextualized Word Embeddings in
Transition-Based and Graph-Based Dependency Parsing – a Tale of Two
Parsers Revisited.” In Proceedings of the 2019 Conference on
Empirical Methods in Natural Language Processing and the 9th
International Joint Conference on Natural Language Processing
(EMNLP-IJCNLP), 2755–68. Hong Kong,
China: Association for Computational Linguistics. https://doi.org/10.18653/v1/D19-1277.
Kuriyozov, Elmurod, Yerai Doval, and Carlos Gómez-Rodríguez. 2020.
“Cross-Lingual Word Embeddings for Turkic
Languages.” In Proceedings of the Twelfth Language Resources
and Evaluation Conference, 4054–62. Marseille, France: European
Language Resources Association. https://aclanthology.org/2020.lrec-1.499/.
Kuriyozov, Elmurod, David Vilares, and Carlos Gómez-Rodríguez. 2024.
“BERTbek: A Pretrained Language Model for
Uzbek.” In Proceedings of the 3rd Annual Meeting
of the Special Interest Group on Under-Resourced Languages @
LREC-COLING 2024, 33–44. Torino, Italia:
ELRA; ICCL. https://aclanthology.org/2024.sigul-1.5/.
Lample, Guillaume, Miguel Ballesteros, Sandeep Subramanian, Kazuya
Kawakami, and Chris Dyer. 2016. “Neural Architectures for Named
Entity Recognition.” In Proceedings of the 2016 Conference of
the North American Chapter of the
Association for Computational
Linguistics: Human Language Technologies, 260–70. San
Diego, California: Association for Computational Linguistics. https://doi.org/10.18653/v1/N16-1030.
Lin, Yu-Hsiang, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou
Xia, Shruti Rijhwani, et al. 2019. “Choosing Transfer Languages
for Cross-Lingual Learning.” In Proceedings of the 57th
Annual Meeting of the Association for
Computational Linguistics, 3125–35.
Florence, Italy: Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1301.
Lindén, Krister, Erik Axelson, Sam Hardwick, Tommi A. Pirinen, and
Miikka Silfverberg. 2011. “HFST—Framework for
Compiling and Applying Morphologies.” In Systems and
Frameworks for Computational Morphology (SFCM 2011),
100:67–85. Communications in Computer and Information Science. Springer.
https://doi.org/10.1007/978-3-642-23138-4_5.
LocalDoc. n.d. “azerbaijani-ner-dataset.” Hugging Face
dataset
LocalDoc/azerbaijani-ner-dataset, CC BY-NC 4.0. https://huggingface.co/datasets/LocalDoc/azerbaijani-ner-dataset.
Mamasaidov, Mukhammadsaid, and Abror Shopulatov. 2024. “Open
Language Data Initiative: Advancing Low-Resource Machine Translation for
Karakalpak.” In Proceedings of the Ninth
Conference on Machine Translation, 606–13. Miami, Florida, USA:
Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.wmt-1.48.
Marchisio, Kelly, Wei-Yin Ko, Alexandre Berard, Théo Dehaze, and
Sebastian Ruder. 2024. “Understanding and Mitigating Language
Confusion in LLMs.” In Proceedings of the 2024
Conference on Empirical Methods in Natural Language Processing,
6653–77. Miami, Florida, USA: Association for Computational Linguistics.
https://doi.org/10.18653/v1/2024.emnlp-main.380.
Marneffe, Marie-Catherine de, Christopher D. Manning, Joakim Nivre, and
Daniel Zeman. 2021. “Universal
Dependencies.” Computational Linguistics 47
(2): 255–308. https://doi.org/10.1162/coli_a_00402.
McDonald, Ryan, and Joakim Nivre. 2007. “Characterizing the Errors
of Data-Driven Dependency Parsing Models.” In Proceedings of
the 2007 Joint Conference on Empirical Methods in Natural Language
Processing and Computational Natural Language Learning
(EMNLP-CoNLL), 122–31.
Prague, Czech Republic: Association for Computational Linguistics. https://aclanthology.org/D07-1013/.
Mirzakhalov, Jamshidbek, Anoop Babu, Duygu Ataman, Sherzod Kariev,
Francis Tyers, Otabek Abduraufov, Mammad Hajili, et al. 2021. “A
Large-Scale Study of Machine Translation in Turkic
Languages.” In Proceedings of the 2021 Conference on
Empirical Methods in Natural Language Processing, 5876–90. Online;
Punta Cana, Dominican Republic: Association for Computational
Linguistics. https://doi.org/10.18653/v1/2021.emnlp-main.475.
Mirzakhalov, Jamshidbek, Anoop Babu, Aigiz Kunafin, Ahsan Wahab,
Bekhzodbek Moydinboyev, Sardana Ivanova, Mokhiyakhon Uzokova, et al.
2021. “Evaluating Multiway Multilingual NMT in the
Turkic Languages.” In Proceedings of the Sixth
Conference on Machine Translation, 518–30. Online: Association for
Computational Linguistics. https://aclanthology.org/2021.wmt-1.60/.
Muller, Benjamin, Antonios Anastasopoulos, Benoît Sagot, and Djamé
Seddah. 2021. “When Being Unseen from mBERT Is Just
the Beginning: Handling New Languages with Multilingual Language
Models.” In Proceedings of the 2021 Conference of the
North American Chapter of the
Association for Computational
Linguistics: Human Language Technologies, 448–62.
Online: Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.naacl-main.38.
Mussakhojayeva, Saida, Kaisar Dauletbek, Rustem Yeshpanov, and Huseyin
Atakan Varol. 2023. “Multilingual Speech Recognition for
Turkic Languages.” Information 14 (2): 74.
https://doi.org/10.3390/info14020074.
Mussakhojayeva, Saida, Rinat Gilmullin, Bulat Khakimov, Mansur Galimov,
Daniil Orel, Adal Adilbekov, and Huseyin Atakan Varol. 2024.
“Noise-Robust Multilingual Speech Recognition and the
Tatar Speech Corpus.” In 2024 International
Conference on Artificial Intelligence in Information and Communication
(ICAIIC), 732–37. IEEE. https://doi.org/10.1109/ICAIIC60209.2024.10463419.
Mussakhojayeva, Saida, Yerbolat Khassanov, and Huseyin Atakan Varol.
2022a. “KSC2: An Industrial-Scale Open-Source
Kazakh Speech Corpus.” In Proceedings of
Interspeech 2022, 1367–71. ISCA. https://doi.org/10.21437/Interspeech.2022-421.
———. 2022b. “KazakhTTS2: Extending the
Open-Source Kazakh TTS Corpus with More Data,
Speakers, and Topics.” In Proceedings of the Thirteenth
Language Resources and Evaluation Conference, 5404–11. Marseille,
France: European Language Resources Association. https://aclanthology.org/2022.lrec-1.578/.
Nguyen, Thuat, Chien Van Nguyen, Viet Dac Lai, Hieu Man, Nghia Trung
Ngo, Franck Dernoncourt, Ryan A. Rossi, and Thien Huu Nguyen. 2024.
“CulturaX: A Cleaned, Enormous, and
Multilingual Dataset for Large Language Models in 167 Languages.”
In Proceedings of the 2024 Joint International Conference on
Computational Linguistics, Language Resources and Evaluation
(LREC-COLING 2024), 4226–37. Torino,
Italia: ELRA; ICCL. https://aclanthology.org/2024.lrec-main.377/.
Nivre, Joakim, Marie-Catherine de Marneffe, Filip Ginter, Yoav Goldberg,
Jan Hajič, Christopher D. Manning, Ryan McDonald, et al. 2016.
“Universal Dependencies V1: A
Multilingual Treebank Collection.” In Proceedings of the
Tenth International Conference on Language Resources and Evaluation
(LREC’16), 1659–66. Portorož, Slovenia: European
Language Resources Association (ELRA). https://aclanthology.org/L16-1262/.
NLLB Team, Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad,
Kenneth Heafield, Kevin Heffernan, et al. 2024. “Scaling Neural
Machine Translation to 200 Languages.” Nature 630
(8018): 841–46. https://doi.org/10.1038/s41586-024-07335-x.
Oepen, Stephan, Nikolay Arefyev, Mikko Aulamo, Marta Bañón, Maja Buljan,
Laurie V. Burchell, Lucas Georges Gabriel Charpentier, et al. 2026.
“HPLT 3.0: Very Large-Scale Multilingual Resources
for LLMs and MT. Mono- and Bi-Lingual Data,
Multilingual Evaluation, and Pre-Trained Models.” In
Proceedings of the Fifteenth Language Resources and Evaluation
Conference, 1409–34. Palma de Mallorca, Spain: ELRA Language
Resource Association. https://doi.org/10.63317/25xbdofco9od.
Oflazer, Kemal. 1994. “Two-Level Description of
Turkish Morphology.” Literary and Linguistic
Computing 9 (2): 137–48. https://doi.org/10.1093/llc/9.2.137.
Oflazer, Kemal, and Murat Saraçlar, eds. 2018. Turkish Natural
Language Processing. Theory and Applications of Natural Language
Processing. Cham: Springer. https://doi.org/10.1007/978-3-319-90165-7.
Omnilingual ASR Team, Gil Keren, Artyom Kozhevnikov, Yen Meng,
Christophe Ropers, Matthew Setzler, Skyler Wang, et al. 2025.
“Omnilingual ASR: Open-Source Multilingual Speech
Recognition for 1600+ Languages.” arXiv preprint
arXiv:2511.09690. https://arxiv.org/abs/2511.09690.
Ozturel, Adnan, Tolga Kayadelen, and Isin Demirsahin. 2019. “A
Syntactically Expressive Morphological Analyzer for
Turkish.” In Proceedings of the 14th
International Conference on Finite-State Methods and Natural Language
Processing, 65–75. Dresden, Germany: Association for Computational
Linguistics. https://doi.org/10.18653/v1/W19-3110.
Pan, Xiaoman, Boliang Zhang, Jonathan May, Joel Nothman, Kevin Knight,
and Heng Ji. 2017. “Cross-Lingual Name Tagging and Linking for 282
Languages.” In Proceedings of the 55th Annual Meeting of the
Association for Computational
Linguistics (Volume 1: Long Papers), 1946–58.
Vancouver, Canada: Association for Computational Linguistics. https://doi.org/10.18653/v1/P17-1178.
Papineni, Kishore, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002.
“Bleu: A Method for Automatic Evaluation of Machine
Translation.” In Proceedings of the 40th Annual Meeting of
the Association for Computational
Linguistics, 311–18. Philadelphia, Pennsylvania, USA:
Association for Computational Linguistics. https://doi.org/10.3115/1073083.1073135.
Park, Daniel S., William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph,
Ekin D. Cubuk, and Quoc V. Le. 2019. “SpecAugment: A
Simple Data Augmentation Method for Automatic Speech
Recognition.” In Proceedings of Interspeech 2019,
2613–17. ISCA. https://doi.org/10.21437/Interspeech.2019-2680.
Penedo, Guilherme, Hynek Kydlíček, Vinko Sabolčec, Bettina Messmer,
Negar Foroutan, Amir Hossein Kargaran, Colin Raffel, Martin Jaggi,
Leandro von Werra, and Thomas Wolf. 2025. “FineWeb2:
One Pipeline to Scale Them All – Adapting Pre-Training Data Processing
to Every Language.” arXiv preprint arXiv:2506.20920. https://arxiv.org/abs/2506.20920.
Petrov, Aleksandar, Emanuele La Malfa, Philip H. S. Torr, and Adel Bibi.
2023. “Language Model Tokenizers Introduce Unfairness Between
Languages.” In Advances in Neural Information Processing
Systems 36 (NeurIPS 2023).
Ponti, Edoardo Maria, Goran Glavaš, Olga Majewska, Qianchu Liu, Ivan
Vulić, and Anna Korhonen. 2020. “XCOPA: A
Multilingual Dataset for Causal Commonsense Reasoning.” In
Proceedings of the 2020 Conference on Empirical Methods in Natural
Language Processing (EMNLP), 2362–76. Online:
Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.emnlp-main.185.
Popović, Maja. 2015. “ChrF: Character n-Gram
F-Score for Automatic MT Evaluation.”
In Proceedings of the Tenth Workshop on Statistical Machine
Translation, 392–95. Lisbon, Portugal: Association for
Computational Linguistics. https://doi.org/10.18653/v1/W15-3049.
———. 2017. “ChrF++: Words Helping Character
n-Grams.” In Proceedings of the Second Conference on Machine
Translation, 612–18. Copenhagen, Denmark: Association for
Computational Linguistics. https://doi.org/10.18653/v1/W17-4770.
Post, Matt. 2018. “A Call for Clarity in Reporting
BLEU Scores.” In Proceedings of the Third
Conference on Machine Translation: Research Papers, 186–91.
Brussels, Belgium: Association for Computational Linguistics. https://doi.org/10.18653/v1/W18-6319.
Pratap, Vineel, Andros Tjandra, Bowen Shi, Paden Tomasello, Arun Babu,
Sayani Kundu, Ali Elkahky, et al. 2024. “Scaling Speech Technology
to 1,000+ Languages.” Journal of Machine Learning
Research 25 (97): 1–52. https://jmlr.org/papers/v25/23-1318.html.
Qi, Peng, Yuhao Zhang, Yuhui Zhang, Jason Bolton, and Christopher D.
Manning. 2020. “Stanza: A Python Natural Language
Processing Toolkit for Many Human Languages.” In Proceedings
of the 58th Annual Meeting of the Association for
Computational Linguistics: System
Demonstrations, 101–8. Online: Association for Computational
Linguistics. https://doi.org/10.18653/v1/2020.acl-demos.14.
Qwen Team, An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng,
Bowen Yu, et al. 2024. “Qwen2.5 Technical Report.” arXiv
preprint arXiv:2412.15115. https://arxiv.org/abs/2412.15115.
Radford, Alec, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey,
and Ilya Sutskever. 2023. “Robust Speech Recognition via
Large-Scale Weak Supervision.” In Proceedings of the 40th
International Conference on Machine Learning (ICML),
202:28492–518. Proceedings of Machine Learning Research. PMLR.
Rae, Jack W., Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan
Hoffmann, et al. 2021. “Scaling Language Models: Methods, Analysis
& Insights from Training Gopher.” https://arxiv.org/abs/2112.11446.
Rei, Ricardo, Craig Stewart, Ana C Farinha, and Alon Lavie. 2020.
“COMET: A Neural Framework for MT
Evaluation.” In Proceedings of the 2020 Conference on
Empirical Methods in Natural Language Processing
(EMNLP), 2685–2702. Online: Association for
Computational Linguistics. https://doi.org/10.18653/v1/2020.emnlp-main.213.
Rust, Phillip, Jonas Pfeiffer, Ivan Vulić, Sebastian Ruder, and Iryna
Gurevych. 2021. “How Good Is Your Tokenizer? On the Monolingual
Performance of Multilingual Language Models.” In Proceedings
of the 59th Annual Meeting of the Association for
Computational Linguistics and the 11th
International Joint Conference on Natural Language Processing (Volume 1:
Long Papers), 3118–35. Online: Association for Computational
Linguistics. https://doi.org/10.18653/v1/2021.acl-long.243.
Safaya, Ali, Emirhan Kurtuluş, Arda Goktogan, and Deniz Yuret. 2022.
“Mukayese: Turkish NLP Strikes
Back.” In Findings of the Association for
Computational Linguistics: ACL
2022, 846–63. Dublin, Ireland: Association for Computational
Linguistics. https://doi.org/10.18653/v1/2022.findings-acl.69.
Şahin, Gözde Gül, and Eşref Adalı. 2018. “Annotation of Semantic
Roles for the Turkish Proposition
Bank.” Language Resources and Evaluation 52
(3): 673–706. https://doi.org/10.1007/s10579-017-9390-y.
Saidov, Bobur, Zilolakhon Ruzmetova, Umida Bazarova, Gulnoza
Narkabilova, Nasiba Azizova, Feruzakhon Rustamova, and Firuza Halimova.
2026. “Human-Reviewed Uzbek Legal Named Entity
Recognition Dataset.” F1000Research 15: 909. https://doi.org/10.12688/f1000research.180408.2.
Schüller, Peter, Kübra Cıngıllı, Ferit Tunçer, Barış Gün Sürmeli,
Ayşegül Pekel, Ayşe Hande Karatay, and Hacer Ezgi Karakaş. 2017.
“Marmara Turkish Coreference Corpus and Coreference
Resolution Baseline.” arXiv preprint arXiv:1706.01863. https://arxiv.org/abs/1706.01863.
Schweter, Stefan. 2020. “BERTurk – BERT
Models for Turkish.” https://doi.org/10.5281/zenodo.3770924.
Scialom, Thomas, Paul-Alexis Dray, Sylvain Lamprier, Benjamin
Piwowarski, and Jacopo Staiano. 2020. “MLSUM: The
Multilingual Summarization Corpus.” In Proceedings of the
2020 Conference on Empirical Methods in Natural Language Processing
(EMNLP), 8051–67. Online: Association for
Computational Linguistics. https://doi.org/10.18653/v1/2020.emnlp-main.647.
Senel, Lütfi Kerem, Benedikt Ebing, Konul Baghirova, Hinrich Schuetze,
and Goran Glavaš. 2024. “Kardeş-NLU: Transfer to
Low-Resource Languages with the Help of a High-Resource Cousin
– a Benchmark and Evaluation for Turkic
Languages.” In Proceedings of the 18th Conference of the
European Chapter of the Association for
Computational Linguistics (Volume 1: Long
Papers), 1672–88. St. Julian’s, Malta: Association for
Computational Linguistics. https://doi.org/10.18653/v1/2024.eacl-long.100.
Sennrich, Rico, Barry Haddow, and Alexandra Birch. 2016a.
“Improving Neural Machine Translation Models with Monolingual
Data.” In Proceedings of the 54th Annual Meeting of the
Association for Computational
Linguistics (Volume 1: Long Papers), 86–96. Berlin,
Germany: Association for Computational Linguistics. https://doi.org/10.18653/v1/P16-1009.
———. 2016b. “Neural Machine Translation of Rare Words with Subword
Units.” In Proceedings of the 54th Annual Meeting of the
Association for Computational
Linguistics (Volume 1: Long Papers), 1715–25. Berlin,
Germany: Association for Computational Linguistics. https://doi.org/10.18653/v1/P16-1162.
Shen, Jonathan, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep
Jaitly, Zongheng Yang, Zhifeng Chen, et al. 2018. “Natural
TTS Synthesis by Conditioning WaveNet on Mel
Spectrogram Predictions.” In 2018 IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP),
4779–83. IEEE. https://doi.org/10.1109/ICASSP.2018.8461368.
Steimel, Kenneth, Akbar Amat, Arienne Dwyer, and Sandra Kübler. 2020.
“Fine-Grained Morpho-Syntactic Analysis for the Under-Resourced
Language Chaghatay.” In Proceedings of the 19th
International Workshop on Treebanks and Linguistic Theories, 43–54.
Düsseldorf, Germany: Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.tlt-1.4.
Tamchyna, Aleš, Marion Weller-Di Marco, and Alexander Fraser. 2017.
“Modeling Target-Side Inflection in Neural Machine
Translation.” In Proceedings of the Second Conference on
Machine Translation, 32–42. Copenhagen, Denmark: Association for
Computational Linguistics. https://doi.org/10.18653/v1/W17-4704.
Tiedemann, Jörg. 2012. “Parallel Data, Tools and Interfaces in
OPUS.” In Proceedings of the Eighth
International Conference on Language Resources and Evaluation
(LREC’12), 2214–18. Istanbul, Turkey: European
Language Resources Association (ELRA). https://aclanthology.org/L12-1246/.
Togmanov, Mukhammed, Nurdaulet Mukhituly, Diana Turmakhan, Jonibek
Mansurov, Maiya Goloburda, Akhmed Sakip, Zhuohan Xie, et al. 2025.
“KazMMLU: Evaluating Language Models on
Kazakh, Russian, and Regional Knowledge of
Kazakhstan.” In Proceedings of the 63rd Annual
Meeting of the Association for Computational
Linguistics (Volume 1: Long Papers), 14403–16. Vienna,
Austria: Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.acl-long.701.
Tolegen, Gulmira, Alymzhan Toleu, and Rustam Mussabayev. 2020.
“Voted-Perceptron Approach for Kazakh Morphological
Disambiguation.” In Proceedings of the 1st Joint Workshop on
Spoken Language Technologies for Under-Resourced Languages
(SLTU) and Collaboration and Computing for Under-Resourced
Languages (CCURL), 258–64. Marseille, France: European
Language Resources association. https://aclanthology.org/2020.sltu-1.36/.
Toraman, Cagri, Eyup Halit Yilmaz, Furkan Şahinuç, and Oguzhan Ozcelik.
2023. “Impact of Tokenization on Language Models: An Analysis for
Turkish.” ACM Transactions on Asian and
Low-Resource Language Information Processing 22 (4): 1–21. https://doi.org/10.1145/3578707.
Turatali, Timur, Anton Alekseev, Gulira Jumalieva, Gulnara Kabaeva, and
Sergey Nikolenko. 2025. “Human-Annotated NER Dataset
for the Kyrgyz Language.” In 2025 10th
International Conference on Computer Science and Engineering
(UBMK), 1607–12. Istanbul, Turkey: IEEE. https://doi.org/10.1109/UBMK67458.2025.11206879.
Türk, Utku, Furkan Atmaca, Şaziye Betül Özateş, Gözde Berk, Seyyit Talha
Bedir, Abdullatif Köksal, Balkız Öztürk Başaran, Tunga Güngör, and
Arzucan Özgür. 2022. “Resources for Turkish
Dependency Parsing: Introducing the BOUN Treebank and the
BoAT Annotation Tool.” Language Resources and
Evaluation 56 (1): 259–307. https://doi.org/10.1007/s10579-021-09558-0.
Turkic World Common Alphabet Commission. 2024. “Declaration on
Common Turkic Alphabet.” Published by the
International Turkic Academy, 16 September 2024. https://turkicacademy.org/en/smi/declaration-common-turkic-alphabet.
Tyers, Francis M., and Jonathan N. Washington. 2015. “Towards a
Free/Open-Source Universal-Dependency Treebank
for Kazakh.” In Proceedings of the 3rd
International Conference on Turkic Languages Processing
(TurkLang 2015), 276–89. Kazan, Russia.
Uludoğan, Gökçe, Zeynep Balal, Furkan Akkurt, Meliksah Turker, Onur
Gungor, and Susan Üsküdarlı. 2024. “TURNA: A
Turkish Encoder-Decoder Language Model for Enhanced
Understanding and Generation.” In Findings of the
Association for Computational
Linguistics: ACL 2024, 10103–17. Bangkok,
Thailand: Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-acl.600.
Vaswani, Ashish, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion
Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017.
“Attention Is All You Need.” In Advances in Neural
Information Processing Systems 30 (NIPS 2017),
5998–6008.
Wang, Liang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, and
Furu Wei. 2024. “Multilingual E5 Text Embeddings: A
Technical Report.” arXiv preprint arXiv:2402.05672. https://arxiv.org/abs/2402.05672.
Washington, Jonathan North, Francis M. Tyers, and Oğuzhan Kuyrukçu.
2020. “Multi-Script Morphological Transducers and Transcribers for
Seven Turkic Languages.” Proceedings of the
Workshop on Turkic and Languages in Contact with
Turkic 5 (1): 173–85. https://doi.org/10.3765/ptu.v5i1.4783.
Washington, Jonathan, Mirlan Ipasov, and Francis Tyers. 2012. “A
Finite-State Morphological Transducer for Kyrgyz.”
In Proceedings of the Eighth International Conference on Language
Resources and Evaluation (LREC’12), 934–40. Istanbul,
Turkey: European Language Resources Association (ELRA). https://aclanthology.org/L12-1642/.
Washington, Jonathan, Ilnar Salimzyanov, and Francis Tyers. 2014.
“Finite-State Morphological Transducers for Three
Kypchak Languages.” In Proceedings of the Ninth
International Conference on Language Resources and Evaluation
(LREC’14), 3378–85. Reykjavik, Iceland: European
Language Resources Association (ELRA). https://aclanthology.org/L14-1143/.
Wolf, Thomas, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement
Delangue, Anthony Moi, Pierric Cistac, et al. 2020. “Transformers:
State-of-the-Art Natural Language Processing.” In Proceedings
of the 2020 Conference on Empirical Methods in Natural Language
Processing: System Demonstrations, 38–45. Online: Association for
Computational Linguistics. https://doi.org/10.18653/v1/2020.emnlp-demos.6.
Xue, Linting, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou,
Aditya Siddhant, Aditya Barua, and Colin Raffel. 2021.
“MT5: A Massively Multilingual Pre-Trained
Text-to-Text Transformer.” In Proceedings of the 2021
Conference of the North American Chapter of
the Association for Computational
Linguistics: Human Language Technologies, 483–98.
Online: Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.naacl-main.41.
Yeniterzi, Reyyan. 2011. “Exploiting Morphology in
Turkish Named Entity Recognition System.” In
Proceedings of the ACL 2011 Student Session,
105–10. Portland, OR, USA: Association for Computational Linguistics. https://aclanthology.org/P11-3019/.
Yeshpanov, Rustem, Pavel Efimov, Leonid Boytsov, Ardak Shalkarbayuli,
and Pavel Braslavski. 2024. “KazQAD:
Kazakh Open-Domain Question Answering Dataset.” In
Proceedings of the 2024 Joint International Conference on
Computational Linguistics, Language Resources and Evaluation
(LREC-COLING 2024), 9645–56. Torino,
Italia: ELRA; ICCL. https://aclanthology.org/2024.lrec-main.843/.
Yeshpanov, Rustem, Yerbolat Khassanov, and Huseyin Atakan Varol. 2022.
“KazNERD: Kazakh Named
Entity Recognition Dataset.” In Proceedings of the Thirteenth
Language Resources and Evaluation Conference, 417–26. Marseille,
France: European Language Resources Association. https://aclanthology.org/2022.lrec-1.44/.
Yeshpanov, Rustem, Saida Mussakhojayeva, and Yerbolat Khassanov. 2023.
“Multilingual Text-to-Speech Synthesis for Turkic
Languages Using Transliteration.” In Proceedings of
Interspeech 2023, 5521–25. ISCA. https://doi.org/10.21437/Interspeech.2023-249.
Yeshpanov, Rustem, Alina Polonskaya, and Huseyin Atakan Varol. 2024.
“KazParC:
Kazakh Parallel Corpus for Machine Translation.” In
Proceedings of the 2024 Joint International Conference on
Computational Linguistics, Language Resources and Evaluation
(LREC-COLING 2024), 9633–44. Torino,
Italia: ELRA; ICCL. https://aclanthology.org/2024.lrec-main.842/.
Zeyrek, Deniz, Işın Demirşahin, and Ayışığı B. Sevdik Çallı. 2013.
“Turkish Discourse Bank: Porting a Discourse
Annotation Style to a Morphologically Rich Language.”
Dialogue & Discourse 4 (2): 174–84. https://doi.org/10.5087/dad.2013.208.
Zheng, Lianmin, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu,
Yonghao Zhuang, Zi Lin, et al. 2023. “Judging
LLM-as-a-Judge with MT-Bench and Chatbot
Arena.” In Advances in Neural Information Processing Systems
36 (NeurIPS 2023), Datasets and Benchmarks Track.