Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging
<p dir="ltr">Word segmentation plays a pivotal role in improving any Arabic NLP application. Therefore, a lot of research has been spent in improving its accuracy. Off-the-shelf tools, however, are: i) complicated to use and ii) domain/dialect dependent. We explore three language-ind...
محفوظ في:
| المؤلف الرئيسي: | Hassan Sajjad (5297441) (author) |
|---|---|
| مؤلفون آخرون: | Fahim Dalvi (18427905) (author), Nadir Durrani (5297438) (author), Ahmed Abdelali (19691659) (author), Yonatan Belinkov (18973897) (author), Stephan Vogel (19691698) (author) |
| منشور في: |
2017
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
The Impact of Arabic Part of Speech Tagging on Sentiment Analysis: A New Corpus and Deep Learning Approach
حسب: Munem Nerabie, Abdul
منشور في: (2021) -
New susceptibility loci associated with type 2 diabetes. (c2011)
حسب: Mastouri, Nadine A.
منشور في: (2011) -
Amharic Speech Search Using Text Word Query Based on Automatic Sentence-like Segmentation
حسب: Getnet Mezgebu Brhanemeskel (19517452)
منشور في: (2022) -
Dense-PSP-UNet: A neural network for fast inference liver ultrasound segmentation
حسب: Mohammed Yusuf Ansari (16904523)
منشور في: (2023) -
Numerical Modeling of Sequential Segmentation for Enhancement of Mixing Inside Microchannels
حسب: Abu Dagga, Ibragim
منشور في: (2019)