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中科院 1区期刊 JCR Q1 期刊中科院 2区期刊 JCR Q2 期刊中科院 3区期刊 JCR Q3 期刊中科院 4区期刊 JCR Q4 期刊

Transactions Of The Association For Computational Linguistics

SCI SCIE SSCI

国际简称：Transactions Of The Association For Computational Linguistics 参考译名：计算语言学协会会刊

主要研究方向：Multiple 非预警期刊审稿周期：8 Weeks

《计算语言学协会会刊》(Transactions Of The Association For Computational Linguistics)是一本由The MIT Press出版的以Multiple为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本开放期刊，近三年没有被列入预警名单。该期刊享有很高的科学声誉，影响因子不断增加，发行量也同样高。

1区中科院分区
Q1 JCR分区
81 年发文量
11.7 IF影响因子
开放是否OA
English 出版语言

Transactions of the Association for Computational Linguistics is one of the top academic journals in the fields of computational linguistics and natural language processing (NLP), covering all areas of natural language processing, including but not limited to machine translation, speech recognition, text mining, information retrieval, language modeling, syntactic analysis, semantic understanding, and more. The journal particularly welcomes original and completed research work that can significantly promote the development of the field.

The published papers should not only demonstrate in-depth analysis and rigorous experiments, but also have important reference value for computational linguists, natural language processing experts, artificial intelligence and machine learning researchers, cognitive scientists, speech experts, linguists and philosophers in both academic and industrial fields.

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Transactions Of The Association For Computational Linguistics期刊信息

ISSN：2307-387X
出版语言：English
是否OA：开放
E-ISSN：2307-387X
出版地区：United States
是否预警：否
出版商：The MIT Press
开源占比：0.9824
Gold OA文章占比：99.64%
OA被引用占比：
出版国人文章占比：0
出版撤稿占比：
研究类文章占比：98.77%

Transactions Of The Association For Computational Linguistics CiteScore评价数据（2026年6月最新版）

CiteScore

SJR

SNIP

CiteScore 指数

30.7

2.144

6.018

学科类别	分区	排名	百分位
大类：Social Sciences 小类：Communication	Q1	1 / 541	99%
大类：Social Sciences 小类：Linguistics and Language	Q1	2 / 1221	99%
大类：Social Sciences 小类：Computer Science Applications	Q1	11 / 1022	98%
大类：Social Sciences 小类：Artificial Intelligence	Q1	11 / 570	98%
大类：Social Sciences 小类：Human-Computer Interaction	Q1	5 / 196	97%

名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。

Transactions Of The Association For Computational Linguistics中科院评价数据

《新锐期刊分区表》（2026年3月发布）

Top期刊	综述期刊	大类学科		小类学科
是	否	计算机科学	1区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能 LINGUISTICS 语言学 LANGUAGE & LINGUISTICS 语言与语言学	2区 1区 1区

Transactions Of The Association For Computational Linguistics JCR评价数据

2025-2026年最新版

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	SCIE	Q1	15 / 210	93.1
学科：LANGUAGE & LINGUISTICS	AHCI	N/A	N / A	0
学科：LINGUISTICS	SSCI	Q1	2 / 312	99.5
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	SCIE	Q1	1 / 210	99.76
学科：LANGUAGE & LINGUISTICS	AHCI	Q1	1 / 407	99.88
学科：LINGUISTICS	SSCI	Q1	1 / 312	99.84

Transactions Of The Association For Computational Linguistics历年数据统计

影响因子

中科院分区

Transactions Of The Association For Computational Linguistics中国学者发文选摘

1、PsyMem: Fine-grained Psychological Alignment and Explicit Memory Control for Advanced Role-Playing LLM
Author: Cheng, Xilong; Qin, Yunxiao; Tan, Yuting; Li, Zhengnan; Wang, Ye; Xiao, Hongjiang; Zhang, Yuan

Journal: TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS. 2026; Vol. 14, Issue , pp. 510-529. DOI: 10.1162/TACL.a.645
2、PiKGL: Leveraging Pruned Knowledge Graphs for Explainable Stance Detectio
Author: Wang, Bingbing; Lin, Jingjie; Bai, Zhixin; Song, Xintong; Wang, Qianlong; Yang, Min; Zeng, Xi; Li, Jing; Xu, Ruifeng

Journal: TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS. 2026; Vol. 14, Issue , pp. 217-232. DOI: 10.1162/TACL.a.612
3、DeepTrans: Deep Reasoning Translation via Reinforcement Learnin
Author: Wang, Jiaan; Meng, Fandong; Zhou, Jie

Journal: TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS. 2026; Vol. 14, Issue , pp. 47-63. DOI: 10.1162/TACL.a.65
4、Diverse AI Feedback For Large Language Model Alignmen
Author: Yu, Tianshu; Lin, Ting-En; Wu, Yuchuan; Yang, Min; Huang, Fei; Li, Yongbin

Journal: TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS. 2025; Vol. 13, Issue , pp. 392-407. DOI: 10.1162/tacl_a_00746
5、DEAR: Disentangled Event-Agnostic Representation Learning for Early Fake News Detectio
Author: Pu, Xiao; Wu, Hao; Bi, Xiuli; Wu, Yu; Gao, Xinbo

Journal: TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS. 2025; Vol. 13, Issue , pp. 343-356. DOI: 10.1162/tacl_a_00743
6、How Much Semantic Information is Available in Large Language Model Tokens
Author: Haslett, David A.; Cai, Zhenguang G

Journal: TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS. 2025; Vol. 13, Issue , pp. 408-423. DOI: 10.1162/tacl_a_00747
7、Supervised Neural Topic Modeling with Label Alignmen
Author: Chen, Ruihao; Chen, Hegang; Lu, Yuyin; Rao, Yanghui; Zhu, Chunjiang

Journal: TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS. 2025; Vol. 13, Issue , pp. 249-263. DOI: 10.1162/tacl_a_00738
8、Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformer
Author: Ahuja, Kabir; Balachandran, Vidhisha; Panwar, Madhur; He, Tianxing; Smith, Noah A.; Goyal, Navin; Tsvetkov, Yulia

Journal: TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS. 2025; Vol. 13, Issue , pp. 121-141. DOI: 10.1162/tacl_a_00733