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About the Journal

Transactions of the Indonesian Association for Computational Linguistics (TINACL) is an international, peer-reviewed, open-access scholarly journal published by the Indonesian Association for Computational Linguistics (INACL). The journal provides a scholarly venue for original research advancing computational approaches to human language, including computational linguistics, natural language processing, speech and language technology, language resources, and language-centered artificial intelligence.

TINACL welcomes high-quality contributions from researchers, academics, industry practitioners, and professionals working across computational linguistics and related fields. The journal is international in scope and welcomes research on all natural languages and multilingual settings. Submissions are not restricted to Indonesian or languages of Indonesia.

TINACL particularly encourages research addressing multilingualism, low-resource languages, linguistic diversity, cross-lingual methods, reproducibility, language resources, and the responsible development and deployment of language technologies.

Focus and Scope

The Transactions of the Indonesian Association for Computational Linguistics focuses on the computational study, processing, modeling, understanding, and generation of human language. The journal welcomes theoretical, methodological, empirical, resource-oriented, and applied research that contributes to the advancement of computational linguistics and natural language technologies.

The journal welcomes submissions in, but not limited to, the following areas:

  • Computational Linguistics
    Computational models of linguistic structure, syntax, semantics, morphology, pragmatics, discourse, phonology, and other aspects of human language.

  • Natural Language Processing
    Methods and systems for language understanding, generation, classification, information extraction, question answering, summarization, translation, dialogue, and other NLP tasks.

  • Multilingual and Cross-Lingual Language Processing
    Multilingual models, cross-lingual transfer, language adaptation, machine translation, multilingual evaluation, and methods supporting linguistic diversity across languages and language families.

  • Low-Resource and Underrepresented Languages
    Computational methods, datasets, benchmarks, tools, and resources for languages with limited digital data or computational resources, including but not limited to Indonesian and regional languages of Indonesia.

  • Speech and Language Technology
    Automatic speech recognition, speech synthesis, spoken language understanding, speech translation, multimodal language processing, and related technologies.

  • Language Resources and Datasets
    Corpora, lexicons, treebanks, annotated datasets, benchmarks, linguistic resources, resource construction methodologies, documentation, and evaluation.

  • Language Models and Language-Centered Artificial Intelligence
    Neural and statistical language models, large language models, representation learning, generative language systems, adaptation, evaluation, and applications of artificial intelligence to language-related problems.

  • Information Retrieval and Knowledge-Oriented Language Processing
    Text retrieval, semantic search, knowledge extraction, knowledge graphs, information extraction, and language-based access to structured and unstructured information.

  • Evaluation, Reproducibility, and Benchmarking
    Evaluation methodologies, benchmark development, replication studies, error analysis, reproducible experimentation, shared resources, and comparative studies of computational language systems.

  • Responsible Language Technology
    Fairness, bias, transparency, privacy, accountability, accessibility, ethical considerations, and societal impacts associated with computational language technologies.

The journal welcomes original research articles, empirical studies, resource and dataset papers, methodological contributions, evaluation and benchmarking studies, systematic reviews, technical studies, and applied research that make a substantive contribution to computational linguistics and language technology.

International and Multilingual Scope

TINACL is an international journal and welcomes research concerning any natural language, language family, or multilingual environment.

Although the journal is published by the Indonesian Association for Computational Linguistics, its scholarly scope is not limited to Indonesian, regional languages of Indonesia, or research conducted within Indonesia. Contributions involving languages and linguistic communities from any region of the world are welcome.

The journal particularly values research that expands linguistic coverage, supports underrepresented and low-resource languages, advances multilingual and cross-lingual methods, and contributes to more inclusive language technologies.

Open Access Policy

Transactions of the Indonesian Association for Computational Linguistics is an open-access journal. Published articles are made freely available online to support broad access to scholarly knowledge and facilitate research dissemination, collaboration, reuse, and scientific advancement.

Readers may access, read, download, distribute, print, search, and link to published articles in accordance with the copyright and licensing terms applied by the journal.

TINACL supports open scholarly communication and the widest possible dissemination of research in computational linguistics and language technology.

Peer Review Process

All submitted manuscripts undergo an initial editorial screening to assess their relevance to the journal's scope, originality, scholarly quality, completeness, ethical compliance, and suitability for peer review.

Manuscripts that pass the initial screening are evaluated by qualified reviewers with relevant expertise. Editorial decisions are based on academic merit, methodological rigor, originality, clarity, reproducibility where applicable, ethical compliance, and the contribution of the work to computational linguistics and related fields.

TINACL is committed to maintaining a rigorous, fair, constructive, and academically independent peer review process.

Publication Ethics

Transactions of the Indonesian Association for Computational Linguistics is committed to maintaining high standards of academic integrity and responsible scholarly publishing.

Authors, reviewers, and editors are expected to adhere to appropriate standards regarding originality, authorship, citation practices, research integrity, data and resource transparency, conflicts of interest, plagiarism, duplicate publication, research misconduct, and the responsible use of artificial intelligence tools.

Submitted or published manuscripts may be examined for plagiarism, inappropriate citation practices, data irregularities, manipulated content, duplicate publication, or other potential violations of publication ethics. Where necessary, the journal may take appropriate editorial action, including rejection, correction, retraction, or publication of an editorial notice.

Copyright and Licensing

Authors retain copyright in their published work subject to the licensing policy adopted by the journal.

Published articles are made available under the journal's stated open-access license, which governs the conditions under which articles may be copied, distributed, reproduced, adapted, or otherwise reused.

Authors are responsible for ensuring that material included in their manuscripts does not infringe third-party copyright and that appropriate permissions have been obtained where required.

Publisher

Transactions of the Indonesian Association for Computational Linguistics (TINACL) is published by the Indonesian Association for Computational Linguistics (INACL).

The journal supports the dissemination of scholarly research in computational linguistics, natural language processing, and related language technologies while maintaining editorial decisions based on academic quality, originality, relevance, methodological rigor, and ethical compliance.

Institutional affiliation, sponsorship, commercial interest, or financial considerations must not improperly influence editorial evaluation or publication decisions.

Privacy Statement

Names, email addresses, affiliations, and other personal information entered into the journal website will be used exclusively for scholarly publishing and journal administration.

Such information may be processed where necessary for manuscript submission, editorial assessment, peer review, publication, indexing, correspondence, system administration, legal compliance, or investigation of publication ethics matters.

Personal information will not be made available for unrelated purposes or disclosed to third parties except where necessary for legitimate journal operations, scholarly publishing services, legal obligations, or publication ethics procedures.

Archiving and Digital Preservation

TINACL is committed to the long-term accessibility and preservation of its published scholarly content.

The journal maintains digital copies of published materials through its online journal platform and may participate in recognized digital preservation services and archival initiatives, including LOCKSS, CLOCKSS, the PKP Preservation Network (PKP PN), institutional repositories, or other trusted preservation systems.

Information regarding participation in specific preservation services will be updated on the journal website as such services become active.

Indexing and Visibility

TINACL seeks to increase the visibility, discoverability, and scholarly impact of its published research through structured metadata, scholarly indexing services, search-engine discoverability, persistent identifiers, bibliographic databases, repositories, and other academic dissemination channels.

Current indexing and abstracting information will be maintained and updated on the journal website as the journal becomes included in additional services.

Journal Aim

Transactions of the Indonesian Association for Computational Linguistics aims to advance the scientific understanding and computational processing of human language while supporting an international and linguistically diverse research community.

By bringing together theoretical contributions, computational methods, empirical evaluation, language resources, multilingual research, and responsible technological development, TINACL seeks to provide a rigorous scholarly venue for research that advances computational linguistics and contributes to reliable, reproducible, inclusive, and socially responsible language technology.