Academic Journal
Q1Computational Linguistics
About Computational Linguistics
Computational Linguistics is a scholarly journal published by MIT Press. SCImago 2025 lists it in Q1, with an SJR of 1.837 and H-index of 122.
Coverage: 1985, 1996-2025. Research categories: Artificial Intelligence (Q1); Computer Science Applications (Q1); Linguistics and Language (Q1).
Open-access policies and author information
Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2023-02-09. This snapshot does not establish today’s listing status or fee quotation.
Publisher policy links recorded by DOAJ
- Aims and scope ↗
- Editorial board ↗
- Instructions for authors ↗
- Peer-review policy ↗
- Publication fees ↗
- Licence terms ↗
- Copyright policy ↗
- Preservation policy ↗
Source: DOAJ journal record. Journal metadata is distributed by DOAJ under CC0. Confirm current fees, tax, eligibility and waiver terms with the publisher.
Source-backed journal facts
Topics in published research
Natural Language Processing Techniques; Topic Modeling; Speech and dialogue systems; Semantic Web and Ontologies; Syntax, Semantics, Linguistic Variation; Language, Metaphor, and Cognition.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
A Survey of Test-time Compute: From Intuitive Inference to Deliberate Reasoning
Yixin Ji, Juntao Li, Yang Xiang, Hai Ye et al.
2026-09-23 · DOI: 10.1162/coli.a.629KD4MT: A Survey of Knowledge Distillation for Machine Translation
Ona de Gibert, Joseph Attieh, Timothee Mickus, Yves Scherrer et al.
2026-09-18 · DOI: 10.1162/coli.a.651What is the Role of Small Models in the LLM Era: A Survey
Lihu Chen, Gaël Varoquaux
2026-09-18 · DOI: 10.1162/coli.a.652MultiLoKo: A Multilingual Local Knowledge Benchmark for LLMs Spanning 31 Languages
Dieuwke Hupkes, Nikolay Bogoychev
2026-09-17 · DOI: 10.1162/coli.a.643Strategic Deflection: Defending LLMs from Logit Manipulation
Yassine Rachidy, Jihad R'baiti, Youssef Hmamouche, Faissal Sehbaoui et al.
2026-09-17 · DOI: 10.1162/coli.a.645Causal Adversarial Training for Improving Language Understanding and Robustness
Bin Zhu, Yi Xie, Yanxia Feng, Fu Lee Wang et al.
2026-09-17 · DOI: 10.1162/coli.a.644Natural Language Generation
Emiel van Miltenburg, Emiel Krahmer
2026-09-09 · DOI: 10.1162/coli.r.642How to Evaluate Speech Translation with Source-Aware Neural MT Metrics
Mauro Cettolo, Marco Gaido, Matteo Negri, Sara Papi et al.
2026-09-09 · DOI: 10.1162/coli.a.627An Empirical Study on Reasoning and Generalization in Large Language Models
Lu Xiang, Yang Zhao, Yaping Zhang, Zixuan Ren et al.
2026-09-08 · DOI: 10.1162/coli.a.619Unveiling Affective Polarization Trends in Parliamentary Proceedings
Gili Goldin, Ella Rabinovich, Shuly Wintner
2026-09-08 · DOI: 10.1162/coli.a.600A Straightforward Approach to Construct “Lightweight” Token Graphs from Transformers
João Pimentel, Joana Amorim, Frank Rudzicz
2026-09-08 · DOI: 10.1162/coli.a.618On the Referential Capacity of Language Models: An Internalist Rejoinder to Mandelkern & Linzen
Giosuè Baggio, Elliot Murphy
2026-09-08 · DOI: 10.1162/coli.a.601Justify Your Prompts!
Eduardo Calò, David M. Howcroft, Leo Leppänen, Saad Mahamood et al.
2026-09-08 · DOI: 10.1162/coli.a.620Deep Learning for Natural Language Processing: A Gentle Introduction
Aline Paes
2026-09-08 · DOI: 10.1162/coli.r.628Quantified Reproducibility Assessment for Four Common Types of Evaluation Results in NLP/ML
Anya Belz, Craig Thomson
2026-09-04 · DOI: 10.1162/coli.a.625What If Deception Cannot Be Detected? A Cross-linguistic Study on the Limits of Deception Detection from Text
Aswathy Velutharambath, Kai Sassenberg, Roman Klinger
2026-08-18 · DOI: 10.1162/coli.a.614BAP v2: An Enhanced Task Framework for Instruction Following in Minecraft Dialogues
Prashant Jayannavar, Liliang Ren, Marisa Hudspeth, Risham Sidhu et al.
2026-08-18 · DOI: 10.1162/coli.a.602A Psychology-based Unified Dynamic Framework for Curriculum Learning
Guangyu Meng, Qingkai Zeng, John P. Lalor, Hong Yu et al.
2026-08-18 · DOI: 10.1162/coli.a.584Evaluation Framework for Highlight Explanations of Context Utilization in Language Models
Jingyi Sun, Pepa Atanasova, Sagnik Ray Choudhury, Sekh Mainul Islam et al.
2026-08-17 · DOI: 10.1162/coli.a.621Using Large Language Models in Formalizing Classical Linguistic Descriptions: A Case Study in Middle Indo-Aryan Sound Change
V. S. D. S. Mahesh Akavarapu, Chinmay Dharurkar, Johannes Dellert, Arnab Bhattacharya et al.
2026-08-17 · DOI: 10.1162/coli.a.650Reviews
Community Reviews
Version History
October 4, 2026 at 8:48 pm
September 25, 2026