Now 1127 visitors
Today:970 Yesterday:1192
Total: 5112
413S 88P 97R
2026-02-13, Week 7 |
| Member Login |
| Welcome Message |
| Statistics |
| Committee |
| TACT Journal Homepage |
| Call for Paper |
| Paper Submission |
| Find My Paper |
| Author Homepage |
| Paper Procedure |
| FAQ |
| Registration / Invoice |
| Paper Archives |
| Outstanding Papers |
| Author Homepage |
| - Paper Procedure |
| - Journal Procedure |
| - Presentation Tips |
|
| Program / Proceedings |
| Program with Papers |
| Plenary Session |
| Tutorial Session |
|
| Presentation Platform |
| Hotel & Travel Info |
| About Korea |
| Accommodation |
| Transportation |
| VISA |
| Other Infomation |
|
| Photo Gallery |
| Scheduler Login |
| Seminar |
| Archives Login |
|
| Sponsors |

|

|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| Save Q&A |
|
* Edit or answer any Q&A by selecting Q&A number Hyper Link below + Write button (Save) |
ICACT20230134 Question.1 Questioner: yjk1425@163.com 2023-02-20 ¿ÀÀü 11:53:29 |
ICACT20230134 Answer.1 Answer by Auhor yanghao30@huawei.com 2023-02-20 ¿ÀÀü 11:53:29
Chrome Click!! |
| What are the advantages of the model mentioned in this article and the already proposed NIP model, such as complexity, etc. |
Multilingual models offer numerous benefits in natural language processing. First, they can improve the performance of various NLP tasks in multiple languages, allowing for more efficient use of resources and data. Second, they can help overcome the challenge of data scarcity in low-resource languages by leveraging the knowledge and patterns shared among languages. Third, multilingual models can also facilitate cross-lingual transfer learning, where the knowledge learned from one language can be transferred to another, thus reducing the need for extensive training in each individual language. Language model perplexity is a measure of how well a language model can predict a sequence of words. It is defined as the exponential of the cross-entropy loss, and it is commonly used to evaluate the quality of language models. A lower perplexity value indicates that the model has a better ability to predict the next word in a sequence, and therefore is more likely to produce fluent and coherent language. Language model perplexity is a key metric in natural language processing and is used in a wide range of applications, such as machine translation, speech recognition, and text generation. |
ICACT20230134 Question.2 Questioner: phamdinhlam@kyonggi.ac.kr 2023-02-22 ¿ÀÈÄ 7:28:56 |
ICACT20230134 Answer.2 Answer by Auhor yanghao30@huawei.com 2023-02-22 ¿ÀÈÄ 7:28:56
Chrome Click!! |
| Thanks for a nice presentation.
Could you give some applications of your research comparing the existing one of the current market? And what is the advantage of your model compared to the others? |
There are two major applications based on TearchSim. First, TearchSim is used as an automatic evaluation for translation version update. Second, TearchSim can help translator or expert to find low quality translations and problems. |
ICACT20230134 Question.3 Questioner: phamdinhlam@kyonggi.ac.kr 2023-02-22 ¿ÀÈÄ 7:29:36 |
ICACT20230134 Answer.3 Answer by Auhor yanghao30@huawei.com 2023-02-22 ¿ÀÈÄ 7:29:36
Chrome Click!! |
| Could you share the source code of your research with the community? |
We will release our source code and model within our github. |
| |