A proposed feature extraction algorithm for handwriting Arabic words. The proposed method uses a 4 levels discrete wavelet transform (DWT) on binary image. sliding window on wavelet space and computes the stander derivation for each window. The extracted features were classified with multiple Support Vector Machine (SVM) classifiers. The proposed method simulated with a proposed data set from different writers. The experimental results of the simulation show 94.44% recognition rate.

    The weak and strong forms are so called because it is not their lexical content that primary matter, but the role they have in the sentence. The problematic confusion, our students encounter, in recognizing and producing the correct pronunciation of weak and strong forms of the English function words is the main incentive behind conducting  this study. In order to gather the data, this paper used two types of tests: a recognition test and a production test. The general results reached  through the analysis of the students' answers seem to conform to the researcher's assumption: students face a critical problem in recognizing and producing correct pronunciation of the weak and strong forms of the English funct

Verbal Antonyms: A research in the relationship in meaning Between the words in Arabic language

(( The Basic word and Terms of sports, games and motions in the Holy Quran : semantic
study )).
The research consists of apreface followed by an Introduction , and three sections and
aconclusion, finally the research concluded with a list of the sources . and also alist of terms
and word in English language for a wider use .
As for reach sections, they are section one it covers a group of words sports games that
are forty two words .
Section two : it covers five fields :-
a- A group of words ( sports ruless) that an seventeen words.
b- A group of ( sports montions ) that are ten .
c- A group of ( sports tools ) that are seven words.
d- A group of ( sports sciences ) that are seven words only .
e- A gro

A reduplicative word is an important phenomenon in all language studies because it reflects many functions in language communication such as plurality, emphasis, contrast, imitation.  The various instances of reduplicative words in a particular language reflect the richness and uniqueness of that language. Moreover, such variation gives insights into both culture and thought. A reduplicative word is a linguistic phenomenon found in the syntactic, morphological, phonological and semantic levels. The current study aims at investigating the illocutionary force of English reduplicative words in some selected English colloquial utterances. To achieve this aim, an analytical -pragmatic approach has been used by adopting Searle’s (1979)

The dictionary meaning of the word is a linguistic category of the thing in a specific way . it is also a brief description of it .The main function of the concept lies in the total scientific reflection of the things where as the main function of the meaning is a brief reference to a certain content (extralinguistic ) which shows human knowledge .   The meaning is (a storage unit ) of knowledge of the world ,but this does not give the extra linguistic meaning which the old words have . Hence, additional cultural ,ethnic,communicative

and genetic information is needed.

        All the old words which are brought into us

Предметом нашего исследования является вводные слова и их значения в современном русском языке. И прежде чем углубиться в нашу научную работу нам было необходимо определить понятие вводных  слов и их функция и место  в системе русского языка. По словам В. Г. Лебедева и Л. С. Тюревы "Вводные слова вводятся в предложении, чтобы выражать отношение говорящего к высказываемой мысли, оценки   ее содержа

Beyond the immediate content of speech, the voice can provide rich information about a speaker's demographics, including age and gender. Estimating a speaker's age and gender offers a wide range of applications, spanning from voice forensic analysis to personalized advertising, healthcare monitoring, and human-computer interaction. However, pinpointing precise age remains intricate due to age ambiguity. Specifically, utterances from individuals at adjacent ages are frequently indistinguishable. Addressing this, we propose a novel, end-to-end approach that deploys Mozilla's Common Voice dataset to transform raw audio into high-quality feature representations using Wav2Vec2.0 embeddings. These are then channeled into our self-attentio