2026 16th International Conference on Languages, Literature, and Linguistics (ICLLL 2026)
🎯 Selling to this event's audience? Get a free tailored buyer list
Tell us your work email and our AI instantly builds a buyer list matched to 2026 16th International Conference on Languages, Literature, and Linguistics (ICLLL 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
🔒 Get my buyer details Free · ~20 seconds
About this event
Event Title: 2026 16th International Conference on Languages, Literature, and Linguistics (ICLLL 2026)
Date: November 27-29, 2026
Venue: Tokyo, Japan (Specific venue details to be confirmed)
Event Type: Academic Conference
Organized by: Otsuma Women's University, Japan
Official Website: https://www.iclll.org/
Event Description
The 2026 16th International Conference on Languages, Literature, and Linguistics (ICLLL 2026) is an academic event that invites scholars, researchers, and practitioners to explore the dynamic relationship between tradition and innovation in the fields of language, literature, and linguistics. Held in Tokyo, Japan, from November 27-29, 2026, this conference aims to provide a platform for discussing how traditional linguistic theories, literary analyses, and cultural interpretations intersect with modern advancements in language technology, digital humanities, and contemporary literary criticism.
ICLLL 2026 will feature presentations of high-quality research papers, abstract submissions, and e-posters addressing critical intersections in the fields of languages, literature, and linguistics. The conference encourages collaboration across disciplines and fosters new perspectives in understanding the evolving world of language and literature.
Key Focus Areas
- Integration of classical literary theory with modern criticism
- Language and technology, including natural language processing and AI in language translation
- Literature, society, and identity, including gender, sexuality, and power in contemporary works
- Language preservation through digital tools and resources
- Comparative literary criticism and post-structuralist approaches to classical texts
Important Dates
- Submission Deadline: September 15, 2026
- Acceptance Notice: September 30, 2026
- Registration Deadline: August 30, 2026 (Early Bird rate available)
Target Audience
The conference attracts a diverse audience, including:
- Scholars and researchers in languages, literature, and linguistics
- Academics and educators from universities and institutions
- Practitioners in language technology and digital humanities
- Students pursuing advanced studies in related fields
Geographic Reach
The event has a global audience, with participants expected from various countries, although the primary venue is in Tokyo, Japan. The conference's academic nature and sponsorship by Otsuma Women's University suggest a strong regional presence from Japan and Asia, with international attendees contributing to its global reach.
Estimated Attendance
While the exact number of attendees is not specified, academic conferences of this scale typically attract several hundred participants, including presenters, researchers, educators, and students. The event's long-standing history (16th edition) and global call for papers suggest a substantial and diverse attendance.
Sample Buyer Companies and Job Profiles
| Publisher Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | University of Tokyo | https://www.u-tokyo.ac.jp/ | Professor of Linguistics | Academic institutions are primary attendees, with professors and researchers actively involved in language and literature studies. |
| 2 | Google AI | https://ai.google/ | AI Language Researcher | Companies specializing in AI and language technology are relevant due to the conference's focus on language and technology intersections. |
| 3 | Waseda University | https://www.waseda.jp/ | Literature Department Chair | Local universities with strong literature and linguistics departments are key participants. |
| 4 | Microsoft Research | https://www.microsoft.com/en-us/research/ | Principal Researcher, NLP | Research organizations focusing on natural language processing (NLP) align with the conference's technological themes. |
| 5 | Cambridge University Press | https://www.cambridge.org/ | Academic Editor, Linguistics | Publishing houses are interested in connecting with researchers for potential book and journal submissions. |
| 6 | Stanford University | https://www.stanford.edu/ | Director of Digital Humanities | Universities with digital humanities programs are likely to attend and contribute to discussions on technology and literature. |
| 7 | Language Technology, Inc. | https://www.langtechinc.com/ | Product Manager, Language Tools | Companies offering language learning apps and tools are relevant to the conference's focus on language and technology. |
| 8 | Harvard University | https://www.harvard.edu/ | Chair, Comparative Literature | Prestigious universities with comparative literature departments are likely participants and contributors. |
| 9 | IBM Research | https://www.research.ibm.com/ | AI Research Scientist | Research institutions involved in AI and machine learning for language processing are a good fit. |
| 10 | Oxford University Press | https://global.oup.com/ | Academic Publisher, Linguistics | Publishers are interested in networking with scholars for book proposals and journal articles. |
| 11 | University of California, Berkeley | https://www.berkeley.edu/ | Professor of Comparative Literature | Academic institutions with strong comparative literature programs are key attendees. |
| 12 | Amazon AI | https://www.amazon.science/ | Senior Scientist, NLP | Technology companies with NLP divisions are relevant due to the conference's focus on language and technology. |
| 13 | Kyoto University | https://www.kyoto-u.ac.jp/ | Linguistics Department Head | Japanese universities with linguistics departments are expected to have a strong presence. |
| 14 | Google DeepMind | https://www.deepmind.com/ | Research Scientist, AI | AI research organizations are a good fit for the conference's technological themes. |
| 15 | University of Oxford | https://www.ox.ac.uk/ | Director, Language Studies | Prestigious international universities with language studies programs are likely participants. |
| 16 | MIT Linguistics | https://linguistics.mit.edu/ | Professor of Computational Linguistics | Universities with strong computational linguistics programs are relevant to the conference's technological focus. |
| 17 | Stanford NLP Group | https://nlp.stanford.edu/ | Researcher, Natural Language Processing | Academic groups specializing in NLP are a good fit for the conference's language and technology themes. |
| 18 | University of Cambridge | https://www.cam.ac.uk/ | Chair of English Literature | Top-tier universities with English literature departments are expected to attend and contribute. |
| 19 | Microsoft AI | https://www.microsoft.com/ai | Principal Engineer, AI | Technology companies with AI divisions are relevant due to the conference's focus on language and technology intersections. |
| 20 | Harvard Linguistics | https://linguistics.fas.harvard.edu/ | Professor of Theoretical Linguistics | Academic institutions with strong linguistics departments are key attendees and contributors. |
Industries and Job Profiles
Industries:
- Education Management
- Higher Education
- Professional Training & Coaching
- Computers & IT
- Artificial Intelligence
- Publishing
- Research
Job Profiles:
- Professor of Linguistics
- Director of Digital Humanities
- Chair, Department of English Literature
- Principal Researcher, NLP
- Academic Editor, Linguistics
- Professor of Comparative Literature
- Research Scientist, AI
- Professor of Computational Linguistics
Client Product Fit Note
Please share your client's website to enable a detailed analysis of the best buyer fit based on the specific product or service offered. This will allow for a tailored list of potential attendees and companies that align with the client's requirements.
Data sheet
2026 16th International Conference on Languages, Literature, and Linguistics (ICLLL 2026) – Event Attendee & Buyer Profile Analysis
Event date: November 27–29, 2026
Location: Tokyo, Japan
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 16th International Conference on Languages, Literature, and Linguistics (ICLLL 2026) |
| Event Date | November 27–29, 2026 |
| Event Status | Upcoming |
| Venue | Tokyo, Japan. Specific venue not yet publicly confirmed in the official website text provided. |
| City | Tokyo |
| State / Region | Tokyo |
| Country | Japan |
| Organizer | Sponsored by Otsuma Women’s University, Japan |
| Official Event Website | iclll.org |
| Event Type | Academic Conference |
| Primary Category | Education & Training |
| Secondary Applicable Categories | IT & Technology; Science & Research |
| Audience Reach | International academic and research audience, based on official event branding as an “International Conference.” |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for volume metrics; confirmed for dates, city, country, conference theme, and sponsor. |
| Main Purpose of Event | To convene scholars, researchers, and practitioners in languages, literature, and linguistics to present research, exchange ideas, and explore intersections among classical theory, digital humanities, language technology, AI, and contemporary literary studies. |
About the Event
ICLLL 2026 is an international academic conference focused on languages, literature, and linguistics, with an official theme centered on “Languages, Literature, and Linguistics in a Pluralistic World: Identity, Culture, and Social Transformation.” Based on the official event description, the conference is designed as a platform for research paper presentations, abstract submissions, and e-posters addressing both classical scholarship and emerging topics such as natural language processing, AI in translation, computational linguistics, digital humanities, migration narratives, and cultural identity.
From a business intelligence perspective, the event matters because it gathers university stakeholders, academic researchers, language technology practitioners, and institutional decision-makers in one environment. While it is not a mass-market trade show, it can be relevant for B2B outreach involving academic publishing, language learning platforms, educational technology, research tools, AI language applications, translation solutions, conference services, and university-facing partnerships. It is more suitable for targeted account-based prospecting than broad attendee-list volume campaigns.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| University faculty and researchers | Universities, colleges, humanities departments, linguistics departments | Influence software selection, research tool adoption, publishing partnerships, and academic resource procurement | Core audience for academic content, edtech, language tools, publishing services, and research databases |
| Academic administrators and department leaders | Universities, graduate schools, research centers | Budget oversight, partnership approvals, event sponsorship, institutional purchasing | High-value contacts for institutional licensing, memberships, and collaboration agreements |
| Language technology and computational linguistics practitioners | Research labs, universities, language AI projects, NLP groups | Evaluate AI, NLP, translation, corpus, annotation, and speech technology solutions | Relevant for AI language tools, linguistic software, data platforms, and cloud-based research systems |
| Digital humanities specialists | Universities, digital archives, research institutes | Shape adoption of digital research methods, repositories, and collaborative platforms | Good fit for humanities data platforms, archive tools, OCR/text analysis, and project collaboration software |
| Translation and interpretation scholars / practitioners | Academic programs, language service networks, interpreter training centers | Evaluate translation technology, training platforms, terminology tools, and language resources | Relevant for CAT tools, translation AI, certification training, and linguistic resource suppliers |
| Graduate students and doctoral researchers | Universities and research institutes | Early-stage influence on future institutional tool adoption and publication channels | Relevant for low-cost software, research support services, journals, and training offers |
| Academic publishers and journal stakeholders | Scholarly publishers, conference publication partners, journals | Source content, recruit authors, assess subject demand, build editorial partnerships | Useful for publication services, editorial systems, indexing, and peer review platforms |
| Education technology and academic service providers | Edtech firms, learning platform providers, research support vendors | Business development, partnerships, pilot program sourcing | Potential partner/exhibitor segment rather than pure buyer segment |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Host city | Tokyo | High | Tokyo is the confirmed host city and likely the strongest concentration point for local academic institutions and conference-related meetings. |
| Host state / region | Tokyo Metropolis / Greater Tokyo area | High | Likely draw from universities, private colleges, and research groups across the metro region. |
| Nearby business and academic hubs | Yokohama, Chiba, Saitama, Kansai universities, other Japanese academic centers | Medium to High | Reasonable regional attendance expected due to Tokyo accessibility, although no official attendee origin breakdown is published. |
| National reach | Japan-wide academic and research participation | High | The conference sponsor and subject matter indicate relevance to Japanese universities and research communities nationally. |
| International reach | Asia-Pacific and broader international academic community | Medium | Officially positioned as an international conference; exact country mix not publicly confirmed in the source text provided. |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The event is officially branded as an international conference and addresses globally relevant academic themes in language, literature, linguistics, AI, and digital humanities. |
| National | Secondary practical reach | Strong relevance to universities and research institutions across Japan due to host location and sponsor base. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Otsuma Women’s University | University / conference sponsor | Officially named as sponsor of ICLLL 2026 and therefore the strongest confirmed institutional organization tied to the event. | otsuma.ac.jp | Dean, Department Chair, Professor, Research Center Director, International Office Director, Procurement / Administration Manager | Confirmed Sponsor / Exhibitor |
| Attendee organization list not publicly released | N/A | The official website text provided confirms the event theme, date, location, submission process, and sponsor, but does not publish a current-year attendee, speaker-organization, exhibitor, or institutional participation list. | N/A | N/A | Confirmed limitation in public data |
This event is not currently supported by a public current-year attendee directory in the official source text provided. As a result, it is better suited for targeted academic prospecting and institutional account mapping than for high-volume confirmed attendee list building.
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Professor / Associate Professor | Academic / Research | Senior, Mid-Senior | Core paper presenters and research decision influencers in linguistics, literature, and language technology. |
| 2 | Department Chair / Head of Department | Academic Administration | Director, Head | Influences departmental budgets, partnerships, software adoption, and conference engagement. |
| 3 | Research Director / Research Center Director | Research | Director, Executive | Relevant for institutional research collaborations, datasets, platforms, and funded initiatives. |
| 4 | Program Director / Graduate Program Coordinator | Academic Programs | Manager, Director | Important for curriculum tools, language learning platforms, and academic service partnerships. |
| 5 | Digital Humanities Lead | Research / Digital Scholarship | Manager, Director | High-fit role for textual analysis tools, archive platforms, OCR, metadata, and collaborative research systems. |
| 6 | Computational Linguist / NLP Research Lead | Research / Technology | Mid-Senior, Director | Directly aligned with official topics covering NLP, speech recognition, translation AI, and computational linguistics. |
| 7 | Library Director / Scholarly Communications Manager | Library / Information Services | Director, Manager | Relevant for database subscriptions, digital content procurement, repositories, and publication support systems. |
| 8 | International Programs Director | International Affairs | Director | Useful for partnerships, academic mobility, international collaboration, and conference sponsorship outreach. |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Higher Education | Most direct institutional fit for conference attendance and research presentation. | University departments, centers, graduate schools |
| 2 | Research | Relevant for language, humanities, and interdisciplinary research institutes. | Research collaboration tools, datasets, grants, partnerships |
| 3 | Education Management | Fits institutional administrators and education organizations managing academic programs. | Program administration, edtech deployment, academic operations |
| 4 | E-Learning | Relevant to language learning apps, adaptive systems, and educational delivery platforms mentioned in official topics. | Learning platforms, remote instruction, language education tools |
| 5 | Information Technology & Services | Matches suppliers of conference-relevant digital tools, analytics platforms, and AI-enabled services. | Institutional software partnerships and workflow tools |
| 6 | Computer Software | Aligned with NLP, translation AI, corpus tools, speech systems, and text analysis solutions. | Research software and academic licenses |
| 7 | Publishing | Academic conferences are important touchpoints for scholarly publication and content acquisition. | Journals, conference proceedings, author acquisition |
| 8 | Translation & Localization | Relevant due to official emphasis on translation, interpretation, and language technology. | Translation tools, language services, terminology platforms |
| 9 | Information Services | Fits library systems, databases, indexing services, and scholarly information providers. | Academic databases, discovery tools, repositories |
| 10 | Professional Training & Coaching | Relevant for language training, interpreter development, research writing, and faculty support programs. | Workshops, training services, academic professional development |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Unconfirmed | Official website text provided | No public attendee volume stated. |
| Exhibitor count | Not publicly confirmed | Unconfirmed | Official website text provided | Conference website emphasizes papers and e-posters rather than exhibition scale. |
| Buyer count | Not publicly confirmed | Unconfirmed | Official website text provided | No procurement or hosted-buyer program published. |
| Speaker count | Not publicly confirmed in the supplied text | Unconfirmed | Official website text provided | Navigation references keynote and invited speakers, but counts and organizations were not included in the provided content. |
| Sponsor count | 1 publicly named sponsor | Confirmed | Official website text provided | Otsuma Women’s University is explicitly named. |
| Historical attendance | Not available in the supplied official content | Unavailable | Official website text provided | No verified prior-year attendance figure cited here. |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Language technology | Tools for NLP, speech recognition, corpus analysis, annotation, and text mining | Demo AI-enabled language workflows for teaching and research | NLP platforms, speech tools, corpus software, research analytics |
| AI in translation and interpretation | Faster multilingual processing and practical evaluation of translation AI | Position solutions around academic translation, interpretation training, and comparative evaluation | Translation AI, CAT tools, terminology systems, interpreter training tools |
| Digital humanities | Digitization, textual analysis, archival access, collaborative research infrastructure | Offer institutional platforms for humanities scholarship and digital collections | Digital archive tools, OCR, metadata solutions, collaboration systems |
| Literary criticism and theory | Research dissemination, publication pathways, access to scholarly content | Promote journals, proceedings, databases, and author services | Academic publishing, indexing, submission systems, database subscriptions |
| Language learning and adaptive systems | Technology-enhanced language teaching and learner support | Engage program directors and faculty around pilot programs and departmental adoption | E-learning systems, language apps, assessment platforms |
| Identity, culture, and social transformation | Interdisciplinary research support, publication channels, international collaboration | Position thought-leadership, sponsored sessions, collaborative programs, and research support services | Research services, academic networks, publication and grant support |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Strong fit for suppliers serving universities, researchers, publishers, language technology teams, and digital humanities programs. |
| Decision-maker availability | Medium | Academic events attract influential subject experts, but some attendees may be end users rather than final procurement signatories. |
| Data collection potential | Low to Medium | Public attendee visibility appears limited based on the supplied source text. |
| Apollo targeting potential | High | Strong due to clear industry, job title, departmental, and geographic targeting options in higher education and research. |
| Geographic targeting potential | High | Tokyo, Japan, and broader Asia-Pacific academic targeting can be clearly defined. |
| Best outreach approach | High | Use research-led outreach, institutional case studies, conference-theme relevance, and partnership framing rather than generic sales messaging. |
| Overall lead quality | Medium to High | Good for niche B2B academic solutions; weaker for companies needing large confirmed buyer-volume lists. |
| Best use case | High | Account-based prospecting, sponsorship evaluation, faculty outreach, and institution-level partnership development. |
| Limitations / risks | Medium | No organizer-confirmed attendance figure, venue name, or public attendee directory in the supplied official text. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Higher Education; Research; Education Management; E-Learning; Information Technology & Services; Computer Software; Publishing; Translation & Localization; Information Services | Build a target pool aligned to conference themes and likely institutional attendees |
| Departments | Education; Research; Information Technology; Operations; Libraries; International Affairs; Business Development | Surface both academic decision influencers and institutional buyers |
| Seniority | Director; VP; Head; Manager; Professor-level equivalents where available; C-Level for technology providers | Focus on budget holders, program owners, and partnership approvers |
| Job titles | Professor, Associate Professor, Department Chair, Head of Department, Research Director, Digital Humanities Director, Program Director, Graduate Program Coordinator, Computational Linguist, NLP Researcher, Library Director, Scholarly Communications Manager, International Programs Director | Mirror the most likely conference attendee and buyer-side roles |
| Geography | Japan first; Tokyo region; secondary filters across Asia-Pacific; optional global higher education targets for international outreach | Prioritize realistic attendance and collaboration geographies |
| Employee size | 201–500; 501–1,000; 1,001–5,000; 5,001+ | Capture universities, larger institutes, and scalable edtech / software counterparties |
| Keywords | linguistics, literature, language studies, digital humanities, natural language processing, NLP, translation, interpretation, corpus, speech recognition, literary studies, comparative literature, language learning | Improve title and company matching for conference-relevant specialization |
| Technologies, if relevant | AI, machine translation, speech recognition, text analytics, digital archive systems | Useful for finding language-tech-aligned institutions and suppliers |
| Revenue range, if relevant | Use selectively for commercial software, publishing, and edtech vendors; less useful for university segmentation | Supports supplier-side sponsorship and partner prospecting |
| Company type | Educational institutions, research institutes, publishers, software vendors, edtech providers | Separates academic buyers from solution providers and partners |
Suggested Apollo Search Logic: (“linguistics” OR “language studies” OR “literature” OR “digital humanities” OR “computational linguistics” OR “NLP” OR “translation studies”) AND (Professor OR “Department Chair” OR “Research Director” OR “Program Director” OR “Library Director”) AND (Japan OR Tokyo OR Asia-Pacific).
Client Fit Review Required
Please share the client website or product/service details. I will review the client offering and identify the highest-fit buyer companies, Apollo industries, seniority levels, departments, and job titles from this event.
Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ICLLL 2026 Official Website | Official event website | Confirmed event name, dates, city, country, theme, sponsor, event scope, call-for-papers topics, and submission / acceptance / registration deadlines | High |
| Official website content supplied by user | Primary source extract | Used as source of truth for November 27–29, 2026; Tokyo, Japan; and sponsorship by Otsuma Women’s University | High |
| Public data limitation note | Verification caveat | Specific venue name, attendee count, speaker count, exhibitor list, and current-year attendee organization list were not present in the source text provided | High |
🎯 Selling to this event's audience? Get a free tailored buyer list
Tell us your work email and our AI instantly builds a buyer list matched to 2026 16th International Conference on Languages, Literature, and Linguistics (ICLLL 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
🔒 Get my buyer details Free · ~20 seconds