Semantic analysis is an essential feature of the NLP approach. It indicates, in the
appropriate format, the context of a sentence or paragraph. Semantics is about language …

This review presents various perspectives on converting user keywords into a formal query.
Without understanding the dataset's underlying structure, how can a user input a text-based …

Low-resource automatic speech recognition (ASR) is challenging, as the low-resource target
language data cannot well train an ASR model. To solve this issue, meta-learning …

With the exponential growth of the information on the Internet, there is a high demand for
making this information readable and processable by machines. For this purpose, there is a …

We investigate cross-lingual sentiment analysis, which has attracted significant attention due
to its applications in various areas including market research, politics, and social sciences …

Linguistic Explorations of Societies (LES) is an interdisciplinary research project with
scholars from the fields of political science, computer science, and computational linguistics …

Machine translation using large language models (LLMs) is having a significant global
impact, making communication easier. Mandarin Chinese is the official language used for …

Coklu kip tıbbi görüntüleme, doku morfolojisi ve islevi hakkında tamamlayıcı bilgiler
saglayarak çesitli hastalıkların tanı ve tedavisinde güçlü bir araçtır. Ancak, farklı kip veya …

There are so many languages in the world. However some languages are similar to each
other. In this paper we compare two similar languages, Bahasa Indonesia and Bahasa …

Being one of the most common empirical regularities, Zipf's law for word frequencies is a
power-law relation between word frequencies and frequency ranks of words. In this thesis …