COLING is the leading international conference in computational linguistics. It covers all aspects of the field, including natural language processing, machine translation, speech recognition and synthesis, language learning and teaching, and computational social science. COLING 2025 will be the 28th in the series of COLING conferences and will be held in Dublin, Ireland, from August 25 to 29, 2025.
The COLING conference is a major event in the field of computational linguistics, and it is attended by researchers from all over the world. The conference provides a forum for the exchange of ideas and the presentation of new research findings. It also helps to promote collaboration between researchers from different countries and institutions.
The COLING 2025 conference will be an important opportunity for researchers to learn about the latest advances in computational linguistics. The conference will feature a wide range of presentations on all aspects of the field, including natural language processing, machine translation, speech recognition and synthesis, language learning and teaching, and computational social science.
1. Computational Linguistics
Computational linguistics is the scientific study of natural language from a computational perspective. It is a subfield of linguistics that uses computer science and statistical methods to analyze and generate natural language text and speech. Computational linguistics has a wide range of applications, including natural language processing, machine translation, speech recognition and synthesis, and language learning and teaching.
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Natural language processing (NLP)
NLP is a subfield of computational linguistics that deals with the understanding and generation of natural language text. NLP tasks include part-of-speech tagging, named entity recognition, parsing, and semantic analysis.
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Machine translation (MT)
MT is a subfield of computational linguistics that deals with the automatic translation of text from one language to another. MT systems are typically trained on large datasets of parallel text, and they use a variety of techniques to translate text accurately and fluently.
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Speech recognition (SR)
SR is a subfield of computational linguistics that deals with the automatic recognition of speech. SR systems are typically trained on large datasets of speech data, and they use a variety of techniques to recognize speech accurately and robustly.
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Speech synthesis (SS)
SS is a subfield of computational linguistics that deals with the automatic generation of speech. SS systems are typically trained on large datasets of speech data, and they use a variety of techniques to generate speech that is natural and intelligible.
Computational linguistics is a rapidly growing field, and it is playing an increasingly important role in a wide range of applications. COLING 2025 will provide a forum for researchers from all over the world to share their latest findings and insights on the latest advances in computational linguistics.
2. Natural language processing
Natural language processing (NLP) is a subfield of computational linguistics that deals with the understanding and generation of natural language text. NLP tasks include part-of-speech tagging, named entity recognition, parsing, and semantic analysis.
NLP is a key component of COLING 2025 because it is essential for many of the tasks that will be discussed at the conference. For example, NLP is used in machine translation, speech recognition, and language learning. By understanding the structure and meaning of natural language text, NLP systems can help computers to communicate with humans more effectively.
One of the most important challenges in NLP is the development of systems that can understand the meaning of text. This is a difficult task because natural language is often ambiguous and context-dependent. However, NLP researchers are making progress on this problem, and they are developing new techniques that can help computers to understand text more accurately.
NLP is a rapidly growing field, and it is playing an increasingly important role in a wide range of applications. COLING 2025 will provide a forum for researchers from all over the world to share their latest findings and insights on the latest advances in NLP.
3. Machine translation
Machine translation (MT) is a subfield of computational linguistics that deals with the automatic translation of text from one language to another. MT systems are typically trained on large datasets of parallel text, and they use a variety of techniques to translate text accurately and fluently.
MT is a key component of COLING 2025 because it is essential for many of the tasks that will be discussed at the conference. For example, MT is used in cross-language information retrieval, multilingual summarization, and machine learning for NLP.
One of the most important challenges in MT is the development of systems that can translate text accurately and fluently. This is a difficult task because natural language is often ambiguous and context-dependent. However, MT researchers are making progress on this problem, and they are developing new techniques that can help MT systems to produce better translations.
MT is a rapidly growing field, and it is playing an increasingly important role in a wide range of applications. COLING 2025 will provide a forum for researchers from all over the world to share their latest findings and insights on the latest advances in MT.
4. Speech recognition
Speech recognition, also known as automatic speech recognition (ASR), is a subfield of computational linguistics that deals with the automatic recognition of speech. SR systems are typically trained on large datasets of speech data, and they use a variety of techniques to recognize speech accurately and robustly. SR is a key component of COLING 2025 because it is essential for many of the tasks that will be discussed at the conference. For example, SR is used in speech-to-text transcription, voice control, and language learning.
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ASR Components
ASR systems typically consist of three main components: a speech front-end, an acoustic model, and a language model. The speech front-end processes the speech signal and extracts features that are used by the acoustic model to recognize the phonemes in the speech. The language model then uses the sequence of phonemes to predict the words that were spoken. -
Real-Life Applications
SR is used in a wide range of real-life applications, such as:- Speech-to-text transcription: SR can be used to transcribe speech into text, which can be useful for tasks such as dictation, captioning, and search.
- Voice control: SR can be used to control devices and applications using voice commands. This can be useful for tasks such as setting alarms, making phone calls, and playing music.
- Language learning: SR can be used to help people learn new languages by providing feedback on their pronunciation.
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Implications for COLING 2025
SR will be a key topic at COLING 2025 because it is essential for many of the tasks that will be discussed at the conference. For example, SR is used in machine translation, speech synthesis, and language learning. By improving the accuracy and robustness of SR systems, researchers can help to improve the performance of these tasks.
SR is a rapidly growing field, and it is playing an increasingly important role in a wide range of applications. COLING 2025 will provide a forum for researchers from all over the world to share their latest findings and insights on the latest advances in SR.
5. Speech synthesis
Speech synthesis, also known as text-to-speech (TTS), is a subfield of computational linguistics that deals with the automatic generation of speech from text.
Speech synthesis is a key component of COLING 2025 because it is essential for many of the tasks that will be discussed at the conference. For example, speech synthesis is used in text-to-speech applications, language learning, and assistive technology.
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Speech synthesis components
Speech synthesis systems typically consist of three main components: a text preprocessor, a text-to-speech engine, and a speech synthesizer. The text preprocessor converts the text into a phonetic representation, which is then used by the text-to-speech engine to generate the speech waveform. The speech synthesizer then converts the speech waveform into sound.
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Real-life applications
Speech synthesis is used in a wide range of real-life applications, such as:
- Text-to-speech applications: Speech synthesis can be used to convert text into speech for a variety of purposes, such as reading aloud e-books, providing audio descriptions for videos, and giving directions.
- Language learning: Speech synthesis can be used to help people learn new languages by providing feedback on their pronunciation.
- Assistive technology: Speech synthesis can be used to assist people with disabilities, such as blindness or dyslexia, by providing them with access to written information.
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Implications for COLING 2025
Speech synthesis will be a key topic at COLING 2025 because it is essential for many of the tasks that will be discussed at the conference. For example, speech synthesis is used in machine translation, language learning, and assistive technology. By improving the quality and naturalness of speech synthesis systems, researchers can help to improve the performance of these tasks.
Speech synthesis is a rapidly growing field, and it is playing an increasingly important role in a wide range of applications. COLING 2025 will provide a forum for researchers from all over the world to share their latest findings and insights on the latest advances in speech synthesis.
6. Language learning
Language learning is a component of COLING 2025 because it is a key application of computational linguistics. Computational linguistics can be used to develop tools and resources that can help people to learn new languages more effectively. For example, natural language processing (NLP) can be used to develop language learning apps that provide personalized feedback on pronunciation and grammar. Speech recognition can be used to develop speech recognition software that can help learners to improve their listening skills. And machine translation can be used to develop translation tools that can help learners to understand and produce text in a new language.COLING 2025 will provide a forum for researchers from all over the world to share their latest findings and insights on the use of computational linguistics for language learning. The conference will feature a number of sessions on this topic, including: Natural language processing for language learning Speech recognition for language learning Machine translation for language learning Language learning in the classroom Language learning outside the classroom These sessions will provide attendees with an opportunity to learn about the latest advances in computational linguistics for language learning, and to network with other researchers in this field.
The use of computational linguistics for language learning is a rapidly growing field, and it is playing an increasingly important role in the way that people learn new languages. COLING 2025 will provide a unique opportunity to learn about the latest advances in this field, and to network with other researchers who are working on this important topic.
7. Language Teaching
Language teaching is a component of COLING 2025 because it is a key application of computational linguistics. Computational linguistics can be used to develop tools and resources that can help language teachers to teach more effectively and help learners to learn more efficiently. For example, natural language processing (NLP) can be used to develop language learning apps that provide personalized feedback on pronunciation and grammar. Speech recognition can be used to develop speech recognition software that can help learners to improve their listening skills. And machine translation can be used to develop translation tools that can help learners to understand and produce text in a new language.
COLING 2025 will provide a forum for researchers from all over the world to share their latest findings and insights on the use of computational linguistics for language teaching. The conference will feature a number of sessions on this topic, including:
- Natural language processing for language teaching
- Speech recognition for language teaching
- Machine translation for language teaching
- Language teaching in the classroom
- Language teaching outside the classroom
These sessions will provide attendees with an opportunity to learn about the latest advances in computational linguistics for language teaching and to network with other researchers in this field.
The use of computational linguistics for language teaching is a rapidly growing field, and it is playing an increasingly important role in the way that people learn and teach languages. COLING 2025 will provide a unique opportunity to learn about the latest advances in this field and to network with other researchers who are working on this important topic.
8. Computational social science
Computational social science is a rapidly growing field that uses computational methods to study human behavior and social interaction. It is a highly interdisciplinary field, drawing on a wide range of disciplines including computer science, sociology, psychology, and economics.
Computational social science is a key component of COLING 2025 because it can be used to study a wide range of topics related to language and communication. For example, computational social scientists can use natural language processing to analyze online conversations, social media posts, and other forms of text data to understand how people communicate and interact with each other. They can also use machine learning to build models that can predict human behavior, such as how people are likely to vote in an election or how they are likely to respond to a particular message.
The insights gained from computational social science research can be used to improve a wide range of real-world applications, such as designing more effective public health campaigns, improving customer service interactions, and developing more personalized educational experiences. COLING 2025 will provide a forum for researchers from all over the world to share their latest findings and insights on the use of computational social science to study language and communication.
Some of the specific topics that will be covered in the computational social science track at COLING 2025 include:
- Natural language processing for social media analysis
- Machine learning for predicting human behavior
- Computational models of social networks
- The use of computational social science to improve public health
- The use of computational social science to improve customer service
- The use of computational social science to improve educational experiences
COLING 2025 will be a valuable opportunity for researchers from all over the world to learn about the latest advances in computational social science and to network with other researchers in this field.
9. Dublin, Ireland
Dublin, Ireland, is the host city of COLING 2025, the 28th International Conference on Computational Linguistics. Dublin is a vibrant and cosmopolitan city with a rich history and culture. It is also a major center for technology and innovation, making it an ideal location for a conference on computational linguistics.
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Academic Institutions
Dublin is home to several world-renowned academic institutions, including Trinity College Dublin, University College Dublin, and Dublin City University. These institutions have strong research programs in computational linguistics and will be actively involved in COLING 2025.
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Technology Industry
Dublin is a major hub for the technology industry, with a large number of multinational companies headquartered in the city. These companies are actively involved in research and development in computational linguistics, and they will be sponsoring and participating in COLING 2025.
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Cultural Attractions
In addition to its academic and technological strengths, Dublin is also a popular tourist destination. The city is home to a number of historical and cultural attractions, including Trinity College Library, Dublin Castle, and St. Patrick’s Cathedral. These attractions will provide attendees with a chance to experience Irish culture and history outside of the conference venue.
Dublin is an ideal location for COLING 2025. The city’s strong academic and technological communities will provide a stimulating environment for the conference, and its cultural attractions will offer attendees a chance to experience the best of Irish culture and hospitality.
FAQs about COLING 2025
This section addresses frequently asked questions about COLING 2025 to assist potential attendees with their inquiries.
Question 1: When and where is COLING 2025 taking place?
COLING 2025 will be held in Dublin, Ireland from August 25 to 29, 2025.
Question 2: What is the scope of COLING 2025?
COLING 2025 covers all aspects of computational linguistics, including natural language processing, machine translation, speech recognition and synthesis, language learning and teaching, and computational social science.
Question 3: Who should attend COLING 2025?
COLING 2025 is an ideal conference for researchers, practitioners, and students working in all areas of computational linguistics.
Question 4: How can I submit a paper or presentation to COLING 2025?
The call for papers will be announced on the COLING 2025 website in due course. Please check the website for submission guidelines and deadlines.
Question 5: What is the registration fee for COLING 2025?
The registration fee for COLING 2025 will be announced on the conference website in due course. Early registration discounts will be available.
Question 6: How can I stay updated on the latest information about COLING 2025?
Please visit the COLING 2025 website for the latest news and updates. You can also follow COLING 2025 on social media for regular updates.
We hope this information has been helpful. If you have any further questions, please do not hesitate to contact the COLING 2025 Organizing Committee.
Note: Please check the COLING 2025 website for the most up-to-date information on registration fees, submission deadlines, and other conference details.
Tips for Attending COLING 2025
COLING 2025 is the premier international conference on computational linguistics, and it is expected to attract a large number of attendees from all over the world. If you are planning to attend COLING 2025, here are a few tips to help you make the most of your experience:
Tip 1: Register early.
Early registration discounts are available, and registering early will also help you to secure your spot at the conference. Note that on-site registration may not be available, so be sure to register online in advance.
Tip 2: Book your accommodation early.
Dublin is a popular tourist destination, and hotel prices can be high, especially during peak season. Book your accommodation as early as possible to secure the best rates.
Tip 3: Plan your travel in advance.
Dublin is well-connected by air and rail, but it is important to plan your travel in advance, especially if you are coming from outside of Europe. Be sure to book your flights and train tickets well in advance, and allow plenty of time for connections.
Tip 4: Get involved in the community.
COLING 2025 is a great opportunity to connect with other researchers and practitioners in the field of computational linguistics. Attend the conference workshops and social events, and make an effort to introduce yourself to new people.
Tip 5: Take advantage of the resources available.
The COLING 2025 organizers will provide a variety of resources to help attendees make the most of their experience. Be sure to check the conference website for information on workshops, tutorials, and other events.
Tip 6: Be prepared to learn.
COLING 2025 is a great opportunity to learn about the latest advances in computational linguistics. Attend the conference presentations and workshops, and take advantage of the opportunity to ask questions and network with experts in the field.
Tip 7: Have fun!
COLING 2025 is a great opportunity to meet new people, learn about the latest research, and explore the beautiful city of Dublin. Be sure to take some time to relax and enjoy the conference experience.
By following these tips, you can make the most of your experience at COLING 2025.
We hope to see you in Dublin in August 2025!
Conclusion
COLING 2025 will be a major event in the field of computational linguistics. It will bring together researchers from all over the world to share their latest findings and insights on a wide range of topics, including natural language processing, machine translation, speech recognition and synthesis, language learning and teaching, and computational social science.
The conference will be an opportunity to learn about the latest advances in computational linguistics, to network with other researchers in the field, and to explore the beautiful city of Dublin. We encourage everyone who is interested in computational linguistics to attend COLING 2025.
