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• A-B Testing []
• Abstraction []
• Abstractive Summarization []
• Accuracy []
• Acoustic Data [الصوتيات الفونولوجيا]
• Acoustic Intensity []
• Acoustics Features []
• Action []
• Activation Function []
• Activation Functions []
• Activation Potential []
• Active Learning []
• Adaptation []
• Adaptive Learning Rate Algorithms []
• Adaptive Moment Estimation Algorithm-Adam []
• Adequacy []
• Adhesion []
• Adjective Phrase-JP []
• Adjunct-ADJT []
• Advanced Information Retrieval Systems []
• Adverb Phrase-AP []
• Adverb-ADV []
• Adversarial Learning Strategy []
• Affix []
• Affixes []
• Agent []
• Agglomerative Clustering []
• AL-ISRA Database []
• Algorithm []
• Aligned Bilingual Corpus []
• Allograph []
• Allophone [Linguistics]
• ALPAC Report [Machine Translation]
• Alpha-Beta []
• Alphabet and Pronunciation []
• Ambiguity []
• AMIRA []
• Amount of Training Data []
• Analog Signals []
• Analytic Approach []
• Anaphora Disambiguation []
• Anchor Boxes []
• Annotated Corpora []
• Annotated Corpus [NLP Corpus Linguistics]
• Annotated Language Resources []
• Annotation []
• Annotation Tool []
• Annotator []
• Anomaly Detection []
• Apache Spark []
• Applied Statistics []
• Approaches []
• Arabic Automatic Speech Recognition-AASR []
• Arabic Diacritics []
• Arabic Diacritization []
• Arabic Dictionary []
• Arabic Language Technology Center-ALTEC []
• Arabic Lexical Semantics Database via Semantic Fields []
• Arabic Raw Text []
• Arabic Sentiment Analyzer []
• Arabic Text to Speech []
• Arabic Word Net []
• Architecture []
• Area Under the Precision-Recall-PR-Curve-AUC []
• Area Under the ROC Curve []
• Artificial Intelligence []
• Artificial Neural Networks []
• Artificial Neural Networks-ANNs []
• Artificial Neuron []
• Aspect-Based Sentiment Analysis []
• Assembling Module []
• Associated []
• Associative Memory []
• Assumptions []
• Attention []
• Attention Mechanism []
• Attitude Profile []
• Attribute []
• Attribute Sampling []
• Audio and Video Search []
• Audio Indexer []
• Audio Translation []
• Augmented Reality-AR []
• Author Identification []
• Authoring []
• Autocorrelation Technique []
• Autoencoders []
• Automark []
• Automated Essay Scoring-AES []
• Automatic Diacritics []
• Automatic Diacritization []
• Automatic Differentiation-AD []
• Automatic Handwriting Recognition []
• Automatic Indexing []
• Automatic Metrics []
• Automatic Parsing []
• Automatic Scoring-AS []
• Automatic Speech Recognition []
• Automatic Speech Recognition-ASR []
• Automatic Summarization []
• Automatic Text Scoring []
• Automatic Text Summarization []
• Automatic Word-Body Diacritization []
• Autonomy of Syntax []
• Auxiliary Loss []
• Auxiliary Verb []
• Average Pooling []
• Average Precision []
• Axioms []
• Axis-Aligned Condition []
• Back Propagation []
• Back-off []
• Backpropagation []
• Backward Pass []
• Bag of Words Approach [NLP]
• Bag of Words-BOW []
• Bagging []
• Bakis []
• Bar Chart []
• Base []
• Baseline []
• Batch []
• Batch Normalization []
• Batch Size []
• Baum-Weltch []
• Bayes Algorithm [Statistics Machine Learning]
• Bayes Theorem []
• Bayesian Learning []
• Bayesian Networks []
• Bayesian Neural Network []
• Bayesian Optimization []
• Beam Search []
• Beam Width []
• Belief Updating []
• Beliefs []
• Bell Curve []
• Bellman Equation []
• Bi-Gram []
• Bias []
• Bias Metric []
• Bias-Variance Trade-off []
• Bidirectional []
• Bidirectional Encoder Representations from Transformers-BERT []
• Bidirectional Language Model []
• Big Data []
• Bigram [NLP]
• Bilingual Corpus []
• Bilingual Evaluation Understudy-BLEU []
• Binary []
• Binary Class []
• Binary Classification []
• Binary Classifiers []
• Binary Condition []
• Binary Cross-Entropy []
• Binary Logic []
• Binary Logistic Regression []
• Binary Machine Code []
• Binary Representation []
• Binary Search []
• Binomial Distribution []
• Bioinformatics []
• BLEU Score []
• Blogs []
• Book Reader []
• Boolean Algebra []
• Boosting []
• Bootstrap Aggregation []
• Bootstrapping []
• Borderline Cases []
• Bounding Box []
• Box Plot []
• Broadcasting []
• Brute-Force []
• Bucketed []
• Bucketing or Binning []
• Bucketization []
• Buckets []
• Calibration Layer []
• Candidate Generation []
• Candidate Sampling []
• Capital Letters []
• Casual Language Model []
• Categorial Grammar []
• Categorial Rules []
• Categorical []
• Categorical Cross-Entropy []
• Categorical Data []
• Categorical Variables []
• Categories []
• Categorization []
• Causal Effect []
• Cell []
• Cell State []
• CENPARMI []
• Center for Computational Learning Systems-CCLS []
• Centroid []
• Centroid-Based Clustering []
• Chain Rule []
• Chain-Code Directions []
• Chaos []
• Character N-Grams []
• Character Segmentation []
• Character-Shapes []
• Checkers []
• Class-Imbalanced‬‬ Datasets‬‬ []
• Classes []
• Classification []
• Classification Model []
• Classification Problem []
• Classification Threshold []
• Classifier []
• Clause []
• Clean Data []
• Clipping []
• Closed-Form Solutions []
• Cloud TPU []
• Cluster []
• Clustering []
• Clustering Document []
• Clustering-Based Centroid []
• Co-adaptation []
• Co-Occurrence []
• Co-Reference Resolution []
• Co-training []
• Cobuild English Dictionary []
• Codes []
• Coefficients []
• Cognitive Pscychology []
• Cognitive Science []
• Collaborative Filtering []
• Collins Parser []
• Collocations []
• Columbia Arabic Dialect Modeling Group-CADIM []
• Comma-Separated Values-CSV []
• Commonsense Knowledge []
• Commonsense Reasoning []
• Comparison Questions []
• Compilers []
• Complement-COM []
• Complementizer Phrase-CP []
• Complexity []
• Complexity Theory []
• Compositional Semantics []
• Compound Noun []
• Compressed Representation []
• Computational Linguistics-CL []
• Computer Science []
• Computer Vision []
• Computer-Aided Font Learning []
• Computer-Aided Language Learning []
• Computer-Aided Pronunciation Learning []
• Concepts []
• Concordancer []
• Condition []
• Conditional Probabilistic Learning []
• Conditional Probability []
• Conditional Random Fields Classifier []
• Conditional Random Fields-CRF []
• Confirmation Bias []
• Confusion Matrix []
• Confusion Network []
• Connected Components []
• Connectionist Temporal Classification-CTC []
• Connectiontist []
• Consistent []
• Consonants []
• Consonants and Semi Consonants []
• Content-Based Filtering []
• Context []
• Contingency Treebank []
• Continuous []
• Continuous Bag of Words-CBOW []
• Continuous Density []
• Continuous Feature []
• Contours []
• Control Theory []
• Convenience Sampling []
• Convergence []
• Converges []
• Convex Function []
• Convex Optimization []
• Convex Set []
• Convolution []
• Convolution Layers []
• Convolutional Filter []
• Convolutional Layer []
• Convolutional Neural Networks-CNN []
• Convolutional Operation []
• Corpora []
• Corpus []
• Corpus of Contemporary Arabic []
• Corpus-Based Machine Learning []
• Correct Words []
• Correlation []
• Correlation Coefficients []
• Correlation Matrix []
• Cosine Similarity []
• Cost []
• Cost Function []
• Covariance []
• Covariance Matrix []
• Coverage Bias []
• Crash Blossom []
• Critic []
• Cross Lingual Plagiarism Detection-CLPD []
• Cross-Entropy []
• Cross-Validation
• Cross-Word []
• Crude Digital Word []
• Cursive Writing []
• Data Analysis []
• Data Augmentation []
• Data Cleaning []
• Data Mining []
• Data Pipeline []
• Data Transformation []
• Data-Driven Approach []
• Data-Warehouses []
• Database for Arabic Handwritten text-AHDB []
• Database for Handwritten Arabic-ADBase []
• DataFrame []
• Dataset []
• dB Sound Pressure LeveldBspl []
• Decibel-dB []
• Decision Boundary []
• Decision Forest []
• Decision Rules []
• Decision Threshold []
• Decision Tree []
• Decoder []
• Deep Learning []
• Deep Learning Models []
• Deep Model []
• Deep Neural Networks-DNN []
• Deep Q-Network-DQN []
• Deep Structure []
• Defence Advanced Research Projects Agency-DARPA []
• Degraded Text []
• Deletion Errors []
• Deletions []
• Dendral []
• Denoising []
• Dense Feature []
• Dense Layers []
• Dense Network []
• Density-Based Clustering DBSCAN []
• Dependency Parsing []
• Dependent Variable []
• Depth []
• Depth First []
• Depthwise Separable Convolutional Neural Network-sepCNN []
• Derivative []
• Derived Label []
• Descriptive Adequacy []
• Descriptive Questions []
• Determiner Phrase-DP []
• Determiner Tool []
• Determiner-DET []
• Deterministic []
• Deterministic Parsing []
• Determinization []
• Device []
• Diacritization []
• Dialog Management Systems []
• Dictation Engine [Machine Learning Dictation Human Language Technologies]
• Dictionary []
• Dictionary Production System []
• Dictionary Production-Publishing System []
• Dictionary Publishing System []
• Dictionary Writing System []
• Different Components []
• Digital Image []
• Digital Signal Processing-DSP []
• Digital Signals []
• Digitization []
• Dimensionality Reduction []
• Dimensions []
• Direct []
• Direct Approach []
• Discourse Integration []
• Discourse Level []
• Discourse Structure []
• Discrete []
• Discrete Cosine Transform []
• Discrete Density []
• Discrete Features []
• Discrete Wavelet Transform-DWT []
• Discriminative Model []
• Discriminative Training []
• Discriminator []
• Discussion Questions []
• Disguised Plagiarism []
• Distributed Processing []
• Distribution []
• Distributional Semantics []
• Divide and Conquer []
• Divisive Clustering []
• Document Classification []
• Document Classification and Clustering []
• Document Clustering [Machine Learning Clustering]
• Document Frequency []
• Document Management Systems-DMS []
• Document Summarization []
• Document Type Definition-DTD []
• Domain Adaptation []
• Domain Mismatch []
• Domain-Domain []
• Dot Product []
• Downsampled []
• Downsampling []
• Downstream Tasks []
• Downtoners []
• Downtoning []
• Dropout []
• Dropout Regularization []
• Dummy Variable []
• Duration []
• Dynamic []
• Dynamic Inference []
• Dynamic Model []
• Dynamic Programming []
• Dynamic Training []
• Early Stopping []
• Edge Detection []
• Edges []
• Eigenvalues []
• Eigenvectors []
• Electrolaryngograph []
• Electromyograph []
• Electropalatograph []
• Element-Wise Multiplication []
• Embedding Layers []
• Embedding Vector []
• Emissions []
• Emojis []
• Emoticons []
• Emotion Recognition []
• Empirical Risk Minimization-ERM []
• Empty Clause []
• Encoder []
• End-to-End System []
• Energy []
• English English []
• Enigma Machine []
• Enrollment []
• Ensembles []
• Enterprise Search []
• Entries and Lexemes []
• Entropy []
• Environment []
• Episode []
• Epoch []
• Estimated Covariance []
• Estimation-Maximization Algorithm []
• Etymological Information []
• EuroWordNet []
• Evaluation Questions []
• Examples []
• Excitation []
• Exhaustive Search []
• Expected Values []
• Experience Facts Base []
• Experience Replay []
• Experimenter's Bias []
• Expert Systems []
• Explanatory Adequacy []
• Explicit Mathematical Model []
• Explicit Segmentation []
• Exploding Gradient []
• Exploding Gradient Problem []
• Exploratory Data Analysis-EDA []
• Exponential Growth []
• Expressive Language []
• External Segmentation []
• Extra-Linguistic Knowledge []
• Extractive Summarization []
• Face Detection []
• Factors []
• Factual Questions []
• False Alarm []
• False Negatives []
• False Positives []
• Feature Cross []
• Feature Engineering []
• Feature Extraction []
• Feature Extraction Matrix Dimension []
• Feature Importance []
• Feature Map []
• Feature Reduction []
• Feature Transformation []
• Feature Vector Dimension Reduction []
• Feature Vectors []
• Features []
• Feed Forward Neural Network []
• Feedback Loops []
• Feedback Relevance []
• Feedback Relevance Pseudo []
• Few-Shot Learning []
• Figurative Meaning []
• Filter []
• Filtering Information []
• Find []
• Fine-Tuning []
• Fingerprint []
• First Quartile []
• Fitting []
• Fixed Frame []
• Flag []
• Flatten Layer []
• Fluency []
• Fonts []
• Forget Gate []
• Form Morphology []
• Form Words []
• Formal Grammars []
• Formal Languages []
• Formant []
• Formant Frequencies []
• Formants []
• Forward Backward []
• Forward Pass []
• Forward Propagation []
• Fourrier Descriptors []
• Frames []
• Fraud []
• Frequency Information []
• Full Words []
• Fully Connected Layers []
• Fully Connected Network []
• Function Words []
• Functional Meaning []
• Functional Morphology []
• Fundamental Frequency []
• Gabor Filters []
• Gated Recurrent Neural Networks []
• Gated Recurrent Unit-GRU []
• Gaussian Distribution []
• Gaussian Noise []
• Gazetteers []
• Geminates []
• Generalization []
• Generalization Curve []
• Generalized Linear Model []
• Generation []
• Generative Adversarial Networks-GANs []
• Generative Model []
• Generative Pre-trained Transformer-GPT []
• Generative Process []
• Generator []
• Giga Word []
• Gini Impurity []
• Gini Index []
• Global Covariance Matrix []
• Global Word Net []
• Goodness of Fit []
• Gradient []
• Gradient Boosted Decision Trees-GBT []
• Gradient Boosted Trees []
• Gradient Boosting []
• Gradient Clipping []
• Gradient Descent []
• Gradient Features []
• Gradient Step []
• Grammar []
• Grammar Free Context []
• Grammatical Functions []
• Graph []
• Grapheme []
• Grapheme to Phoneme []
• Graphics Processing Units []
• Greedy Policy []
• Ground Truth []
• Groups of Frequencies []
• Hadoop []
• Hallucination []
• Hand-Crafted Rules []
• Handwriting OCR []
• Hard Margin []
• Hardware []
• Hashing []
• Hashtags []
• Heuristic []
• Hidden Layers []
• Hidden Markov Model ToolKit-HTK []
• Hidden Markov Models-HMM []
• Hidden Semi Markov Models []
• Hidden State []
• Hierarchical Classification []
• Hierarchical Clustering []
• Hierarchical Phrases []
• Hierarchical Tree Classification []
• Hierarchical-Based Statistical Machine Translation []
• High Bias []
• High Entropy Spoken Responses []
• High Stakes Assessments []
• High Variance []
• High-Level Languages []
• Hinge Loss []
• Histogram []
• Historical Information []
• Holdout Data []
• Homographs []
• Hough Transformation []
• Human Language Technologies-HLT []
• Human Language Technology-HLT []
• Humanoid []
• Hybrid Approach []
• Hyperbolic Tangent Activation-Tanh []
• Hyperparameter []
• Hyperplane []
• Hypotheses []
• ICALL General
• Idea Plagiarism []
• Identification Module []
• Image Classification []
• Image Processing []
• Image Recognition []
• Image Restoration []
• ImageNet Challenge []
• Imbalanced []
• Imbalanced Dataset []
• Implicit Bias []
• Implicit Segmentation []
• Imputation []
• Inception []
• Inception Modules []
• Inception Network []
• Incompleteness Theorems []
• Incremental Impact []
• Independent []
• Independent Component Analysis-ICA []
• Independent Variable []
• Independently and Identically Distributed-IID []
• Induce []
• Inductive Bias []
• Inductive Logic Programming []
• Inference Path []
• Infixes []
• Information Extraction []
• Information Gain []
• Information Mutual Wise Point []
• Information Retrieval-IR []
• Information Theory []
• Initial State []
• Input Gate []
• Input Layer []
• Inputs Sequence []
• Insertion Errors []
• Insertions []
• Instance []
• Intelligent Essay Assessor-IEA []
• IntelliMetric []
• Intensification []
• Intensifiers []
• Inter-Class Variability []
• Interactive Analyzer-IAN []
• Interlingua []
• Interlingua Approach []
• Internal Segmentation []
• International Business Machines Corporation-IBM []
• International Phonetic Alphabet-IPA []
• Interpretability []
• Interpretable []
• Interpretation []
• Interquartile Range []
• Intersection Over Union-IoU []
• Intra-Class Variability []
• Invariant Moments []
• Isolated Words []
• Italic []
• Item Matrix []
• Items []
• Iteration []
• Jupyter Notebook []
• K-Nearest Neighbor-KNN []
• Keras []
• Kernals []
• Kernel []
• Kernel Support Vector Machines-KSVMs []
• KFUPM Handwritten Arabic Text Database-KHATT []
• Knowledge Engineering []
• Knowledge-Oriented Intelligence []
• Kymograph []
• Label []
• Labeled []
• Labeled Examples []
• Lambda Calculus []
• Landmarks []
• Language Acquisition []
• Language Model []
• Language Modeling []
• Language Recognition [Human Language Technologies]
• Language Resource []
• Langugae Model for Dialogue Applications-LaMDA []
• Large Language Model []
• Large Scale Visual Recognition Challenge-LSVRC []
• Laryngograph []
• Laryngoscope []
• Larynx []
• Lasso Regression []
• Latent Semantic Analysis-LSA []
• Latent Semantic Indexing []
• Lattice []
• Layer Pooling []
• Layers []
• Leaf []
• Learning Bias []
• Learning Phase []
• Learning Rates []
• Least Squares Regression []
• Left to Right []
• Lemma []
• Lemmata []
• Lemmatization []
• Lexemes []
• Lexical []
• Lexical Analysis []
• Lexical Categories []
• Lexical Chaining []
• Lexical Chains []
• Lexical Etymology []
• Lexical Evidence []
• Lexical Features []
• Lexical Insertion Rule []
• Lexical Mark-up Framework []
• Lexical Meanings []
• Lexical Model []
• Lexical Semantic Ambiguity []
• Lexical Semantics []
• Lexical Statistics []
• Lexical-Semantic Database []
• Lexicon []
• Lexicons []
• Likelihood Ratio []
• Line Chart []
• Linear []
• Linear Algebra []
• Linear Classifier []
• Linear Models []
• Linear Prediction Coefficient []
• Linear Predictive Code-LPC []
• Linear Regression []
• Linguistic Corpora []
• Linguistic Data Consortium-LDC []
• Linguistic Rules []
• Linguistics []
• Linguists []
• Links []
• Literal Meaning []
• Local Optima []
• Locality-Sensitive Hash Function []
• Log Loss []
• Log-Linear Framework []
• Logarithm []
• Logic Programming []
• Logic Theorist []
• Logistic Regression []
• Logistic Regression Model []
• Logits []
• Long Short-Term Memory-LSTM []
• Loss []
• Loss Curve []
• Loss Function []
• Loss Surface []
• Low Bias []
• Low Entropy Spoken Responses []
• Low Variance []
• Low-Level Features []
• Low-Resource Languages []
• Lower Case []
• Machine Learning []
• Machine Learning Algorithms []
• Machine Learning-ML []
• Machine Translation []
• Machine Translation using Deep Learning []
• Majority Class []
• Majority Voting Scheme []
• Manual Metrics []
• Market Intelligence []
• Markov Decision Process-MDP []
• Markov Property []
• Masked Language Model []
• Masking []
• Matching Module []
• Mathematical Model []
• Mathematics and Statistics []
• Matplotlib []
• Matrix Factorization []
• Matrix Multiplication []
• Max Pooling []
• Maximal Projection []
• Maximize []
• Maximize the Probability []
• Maximum Entropy []
• Maximum Entropy Principle []
• Maximum Likelihood Estimates []
• Mean []
• Mean Absolute Error-MAE []
• Mean Pooling []
• Mean Squared Error MSE []
• Mean Vector []
• Meaning-Oriented []
• Median []
• Mention Analysis []
• Metaphor []
• Meter-M []
• Metric []
• Microprocessors []
• Middle Box []
• Mini-Batch []
• Mini-Batch Stochastic Gradient Descent []
• Minimization []
• Minimize []
• Minority Class []
• Mispronunciation []
• Misrecognition Error []
• Miss-Segmentation []
• Missing Value []
• Modal Verbs []
• Modality []
• Mode []
• Model []
• Model Architecture []
• Model Capacity []
• Model Deployment []
• Model Parallelism []
• Model Selection []
• Model Training []
• Model Validation []
• Modeling []
• Models []
• Models Adaptation []
• Modern Standard Arabic-MSA []
• Momentum []
• Monolingual Corpus []
• Morphemes []
• Morpho-syntactic Analysis []
• Morphological []
• Morphological Ambiguity []
• Morphological Analysis []
• Morphological Disambiguation []
• Morphological Level []
• Morphologically Rich Languages []
• Morphology []
• Moses []
• Motion Analysis []
• Multi Word Expressions-MWE []
• Multi-Class []
• Multi-Class Classification []
• Multi-Class Classification Problems []
• Multi-Class Logistic Regression []
• Multi-Class Regression []
• Multi-Dimensional Recurrent Neural Network-MDRNN []
• Multi-Head Self-Attention []
• Multi-Layer Neural Nets []
• Multi-Layer Perceptron-MLP []
• Multi-Lingual Word Networks []
• Multi-Task Learning []
• Multi-Word Expressions Extraction []
• Multilingual Automatic Document Classification Analysis and Translation-MADCAT []
• Multimedia []
• Multimodal Model []
• Multinomial Classification []
• Multinomial Logistic Regression []
• Multinomial Regression []
• Multiple Linear Regression []
• Multiple Pass []
• Multivariate Analysis []
• Multivariate Regression []
• MWE Identification []
• MxNet []
• MYCIN []
• N-gram []
• N-Gram Model []
• N-Grams []
• Naïve Bayes []
• Naïve Bayesian Classifier-NBC []
• Named Entites []
• Named Entity Recognition []
• Named Entity Recognition-NER []
• Nasal Cavity []
• Natural Language Generation []
• Natural Language Processing-NLP []
• Natural Language Toolkit-NLTK []
• Natural Language Understanding-NLU []
• Natural Languages []
• Navigation Tool []
• Negative‬‬ Class []
• Negative Labels []
• Negative Sampling []
• Neural Approach []
• Neural Machine Translation []
• Neural Networks-NN []
• Neuro Linguistique []
• Neurons []
• Node []
• Noise []
• Noise Removal []
• Noisy Data []
• Noisy-Channel Model []
• Nominal Variable []
• Non-Binary Condition []
• Non-Euclidean Geomerty []
• Non-Linear []
• Non-Native Speakers []
• Non-Normalized []
• Non-Trivial []
• Noncategorial Grammar []
• Nondeterministic Parsing []
• Nonstationarity []
• Normal Distribution []
• Normalization []
• Normalize []
• Not a Number-NaN []
• Noun Phrase-NP []
• Noun-N []
• Novelty Detection []
• Null Prefix []
• Null Suffix []
• Numerical Analysis []
• Numerical Data []
• Numerical Vector []
• NumPy []
• Object Classification []
• Object Detection []
• Object Recognition []
• Object Tracking []
• Objective []
• Objective Function []
• Oblique Condition []
• Observational Adequacy []
• Observations []
• Observations Sequence []
• Observed Values []
• Offline []
• On-Line []
• One-Shot Learning []
• One-vs-All []
• Online []
• Ontological []
• Ontology []
• Open Source []
• Open Text Mining Interface-OTMI []
• OpenCV []
• Operations Research []
• Opinion Annotated Corpora []
• Optical Character Recognition-OCR []
• Optical Spectrometer []
• Optimization []
• Optimizer []
• Optimum Situation []
• Ordinality []
• Orthographic []
• Orthographic Normalization []
• Orthography []
• Out-of-Bag-OOB-Evaluation []
• Outlier Detection []
• Outliers []
• Output []
• Output Distributions []
• Output Gate []
• Output Layer []
• Output Layers []
• Over-Segmentation []
• Overfitting []
• Oversampling []
• Padding []
• Pairwise []
• Pandas []
• Paradigm Shift []
• Parallel Bilingual Corpus []
• Parallel Processing []
• Parallelized []
• Parameter Estimation []
• Parameter Sharing []
• Parameter Update []
• Parameters []
• Parametric Algorithms []
• Paraphrase Detection []
• Paraphrase Plagiarism []
• Parsing []
• Partial Count []
• Partial Derivatives []
• Partial Diacritization []
• Parts of Sentences []
• Parts of Speech Tags []
• Parts-of-Speech []
• Parts-of-Speech Tagging []
• Password []
• Pattern Recognition []
• Pattern Recognition Letters []
• Patterns []
• Peaks of the Frequency Response []
• Pedestrian Detection []
• Perceptron []
• Perceptual Linear Prediction-PLP []
• Performance []
• Permutation Variable Importance []
• Perplexity []
• Personal Computer-PC []
• Perspectivism []
• Philosophy and Logic []
• Phoneme []
• Phonetic Level []
• Phonetics []
• Phono-Grapheme Analyzer []
• Phonological []
• Phonological Analysis []
• Phonology []
• Phrasal Categories []
• Phrase []
• Phrase Marker P-marker []
• Phrase-Based []
• Phrase-Based Statistical Machine Translation []
• Phrase-Structure Grammar-PSG []
• Pie Chart []
• Pieces of Arabic Words []
• Pipeline []
• Pitch []
• Pixel []
• Plagiarism Detection []
• Pneumotachograph []
• Pointwise Mutual Information []
• Pointwise Mutual Information Algorithm []
• Pointwise Mutual Information-PMI []
• Poisson Noise []
• Policy []
• Polynomial []
• Polynomial Regression []
• Pooled []
• Pooled Wisdom []
• Pooling []
• Pooling Layers []
• PoS Tagging []
• Positive Class []
• Positive Labels []
• Postprocesing []
• Pragmatic []
• Pragmatic Level []
• Pragmatics []
• Pre-trained Model []
• Precision []
• Precision Average Mean-PAM []
• Precision-Recall Curve []
• Prediction []
• Prediction Bias []
• Predictions []
• Predictive Performance []
• Predicts []
• Prefix []
• Prefixes []
• Preposition-P []
• Prepositional Phrase-PP []
• Preprocessing []
• Primitive []
• Princeton Word Net []
• Principal Component Analysis-PCA []
• Prior Belief []
• Probabilistic Regression Model []
• Probabilistic Rules []
• Probability Distribution []
• Probability Theory []
• Production Rules []
• Productive Language []
• Project Essay Grade-PEG []
• Project Management Professionals-PMPs []
• Projection []
• Prolog []
• Pronunciation []
• Pronunciation Errors []
• Pronunciation Probabilities []
• Proper Names []
• Proxy Label []
• Pruning []
• Psycholinguistics []
• Psycholinguistics‬‬ []
• Pure Neural []
• Python []
• Pytorch []
• Qatar Computing Research Institute-QCRI []
• Qualitative []
• Quantification []
• Quantile []
• Quantile Bucketing []
• Quantitative []
• Quantization []
• Quartile []
• Queries []
• Query []
• Question Answering Systems []
• Radial Basis Function []
• Random Access Memory []
• Random Forests []
• Random Policy []
• Random Walks []
• Rank []
• Ranking []
• Rate []
• Rater []
• Raw Corpus []
• Re-ranking []
• Real Time []
• Reasoning under Uncertainty []
• Recall []
• Receiver Operating Characteristic-ROC []
• Receptive Language []
• Recognition []
• Recognition and Classification []
• Recommendation Engine []
• Recommendation System []
• Rectified Linear Unit-ReLU []
• Recurrent Neural Network-RNN []
• Recursion []
• Reduce Left []
• Reduce Right []
• Reference Length []
• References []
• Refutation []
• Regression []
• Regression Analysis []
• Regression Model []
• Regularization []
• Regularization Rate []
• Reinforcement Learning []
• Reinforcement Learning-RL []
• Relative Frequency []
• Relative Voltage []
• ReLU []
• Reordering Model []
• Replay Buffer []
• Representation []
• Reset Gate []
• Residual Network-ResNet []
• Respirometer []
• Return []
• Reward []
• Rhetoric Disambiguation []
• Ridge Regression []
• Ridge Regularization []
• Robot []
• Robotics []
• Romanization of Arabic []
• Root Mean Squared Error-RMSE []
• Root Mean Squared Propagation-RMSProp []
• Rooting []
• Roots []
• Rotational Invariance []
• Rule-Based []
• Rule-Based Machine Learning []
• Runtime []
• Sakhr Software-Arabic Language Technology []
• Samples []
• Saturation []
• Scalable []
• Scalar []
• Scalar Multiplication []
• Scalar Product []
• Scale and Rotation Invariant []
• Scaling []
• Scanner []
• Scanners []
• Scatter Plot []
• Scikit-Learn []
• SciPy []
• Scoring []
• Search and Score []
• Search Engines []
• Search Space []
• Segment Units []
• Segmentation []
• Selection Bias []
• Selection Constraints []
• Self Reference []
• Self-Attention []
• Self-Attention Layer []
• Self-Attention Models []
• Self-Driving []
• Self-Supervised Learning []
• Self-Training []
• Semantic []
• Semantic Analysis []
• Semantic Analyzer []
• Semantic Distribution []
• Semantic Field []
• Semantic Level []
• Semantic Network []
• Semantic Orientation []
• Semantic Relations []
• Semantic Relationships []
• Semantic Search []
• Semantic Segmentation []
• Semantic Similarity []
• Semantic Space []
• Semantics []
• Sememe []
• Semi-Supervised []
• Semi-Supervised Learning []
• Sense Disambiguation Method []
• Sensitivity []
• Sentence-S []
• Sentiment Analysis []
• Sentiment and Opinion Extraction []
• Sentiment Classification []
• Sentiment Intensity []
• Sentiment Lexical Semantics Database []
• Sentiment Lexicons []
• Sentiments []
• SentiWordNet []
• Separable Convolution []
• Sequence Model []
• Sequence-to-Sequence Tasks []
• Sequences []
• Shallow Parsing []
• Shannon's Entropy []
• Shared Task []
• Short Vowels []
• Shrinkage []
• Sigmoid []
• Sign-Language-to-Speech []
• Signal Processing []
• Similarity Measure []
• Singleton []
• Singular Value Decomposition-SVD []
• Size Invariance []
• Size Normalization []
• Sketching []
• Skewness []
• Skip-Gram []
• Slant Correction []
• Sliding Window []
• Social Authority []
• Social Media []
• Social Networking []
• Social Power []
• Sociolinguistics []
• Soft Margin []
• Softmax []
• Software []
• Solutions []
• Sonographs []
• Sound Card []
• Sound Frequency []
• Sound Intensity []
• Sound Pressure []
• Sound Wave []
• Source Language []
• Sparse Feature []
• Sparse Input Features []
• Sparse Representation []
• Sparse Vector []
• Sparseness []
• Sparsity []
• Spatial Pooling []
• Speaker Dependent []
• Speaker Independent []
• Speaker Variability []
• Specificity []
• Specifier-SPEC []
• Spectrogram []
• Spectrograph []
• Speech []
• Speech Assessment Methods Phonetic Alphabet-SAMPA []
• Speech Audio Indexer []
• Speech Processing []
• Speech Recognition []
• Speech Synthesis []
• Speech Technology []
• Speech-to-Sign-Languge []
• Speed of Sound []
• Spell and Grammar Checking []
• Spell Checking and Correction []
• Spirometer []
• Spirometer-Respirometer []
• Splitter []
• Spontaneous Speech Recognition []
• Spreadsheet []
• Squared Hinge Loss []
• Squared Loss []
• Staged Training []
• Standard Deviation []
• Standardization []
• Starting Symbol []
• State-Action Value Function []
• States []
• Static []
• Static Inference []
• Static Model []
• Stationarity []
• Statistical Analysis []
• Statistical Machine Translation [Translation Machine Translation Statistics]
• Statistical Models []
• Statistical Translation Model []
• Statistics []
• Stem []
• Stemming []
• Stemming and Lemmatization []
• Step Size []
• Stochastic []
• Stochastic‬‬ Gradient‬‬ Descent‬‬-SGD []
• Stochastic Processes []
• Stop Words []
• Strictly Convex Function []
• Strides []
• Strokes []
• Structural Balance Theory []
• Structural Features []
• Structural Risk Minimization-SRM []
• Structure Learning []
• Structured []
• Structured Problems []
• Structured Problems with Solvable Models []
• Structured Problems with Unsolvable Models []
• Student []
• Style Transfer []
• Sub-Characters []
• Subcategorisation Frame []
• Subject Separation []
• Subjective []
• Subjectivity Analysis []
• Subsampling []
• Substitution Errors []
• Substitutions []
• Subword []
• Subwords []
• Successive Constraining []
• Suffix []
• Suffixes []
• Supervised []
• Supervised Algorithms []
• Supervised Learning []
• Supervised Machine Learning []
• Supervised Model []
• Support Vector Machine []
• Support Vector Machine-SVM []
• Support Vector Machines []
• Support Vector Mechanisms []
• Support Vectors []
• Surface Strucutre []
• Symbolic Integrals []
• Symmetry []
• Syn-Set []
• Synchronous Context Free Grammar []
• Synonyms []
• Synsets []
• Syntactic []
• Syntactic Ambiguity []
• Syntactic Analysis []
• Syntactic Analysis Algorithm []
• Syntactic Analyzer []
• Syntactic Annotated Corpus []
• Syntactic Annotation []
• Syntactic Features []
• Syntactic Level []
• Syntactic Parsing []
• Syntactic Tags []
• Syntax []
• Syntax-Based Statistical Machine Translation []
• Synthetic Feature []
• Synthetic Minority Over-Sampling []
• Tablets []
• Tagging []
• Tamper []
• Target []
• Target Network []
• Taxonomy []
• Teacher's Wordbook []
• Telecommunications []
• Temporal Data []
• Temporal Pooling []
• Tensor []
• Tensor Processing Unit-TPU []
• TensorFlow []
• Term Frequency []
• Term Frequency-Inverse Document Frequency-TF-IDF []
• Terminal States []
• Termination Condition []
• Terminological Meaning []
• Test Dataset []
• Test Loss []
• Test Set []
• Testing []
• Testing Set []
• Text Classification []
• Text Corpus []
• Text Generation []
• Text Indexer []
• Text Information Retrieval []
• Text Localization []
• Text Mining []
• Text Polarity []
• Text Processing []
• Text Search Engine []
• Text Similarity Approach []
• Text Skeletonization []
• Text Stream []
• Text Summarization []
• Textual Entailment []
• The Advanced Research Projects Agency-ARPA []
• The Arab League Educational Cultural and Scientific Organization-ALECSO []
• The Egyptian Society of Language Engineering-ESOLE []
• The Engineering Company for Digital Systems Development-RDI []
• The Stanford NLP Group []
• Theorems []
• Theory of Computation []
• Theory Revision []
• Thesaurus []
• Third Quartile []
• Threshold []
• Time and Frequency Domain []
• Time Series Analysis []
• Timestep []
• Token Passing []
• Tokenization []
• Tokens []
• Tone []
• Topic Identification []
• Topology []
• Torch []
• Training []
• Training and Modelling []
• Training Loss []
• Training Phase []
• Training Set []
• Training-Serving Skew []
• Trajectory []
• Transactions []
• Transactions on Pattern Analysis and Machine Intelligence-TPAMI []
• Transcription []
• Transfer []
• Transfer Approach []
• Transfer Learning []
• Transformational Rule []
• Transformer []
• Transition-Based Dependency Parsing Tree []
• Transitions []
• Translation Length []
• Translation Model []
• Translation Plagiarism []
• Translation Table []
• Translational Invariance []
• Transliterated Words []
• Treatment []
• Tree Ensembles []
• Tree Search []
• Tree Search Methods []
• Treebank Arabic []
• Treebanks []
• Triphone []
• True Negatives []
• True Positive Rate-TPR []
• True Positives []
• Tuples []
• Turing Machine []
• Turing Test []
• Typewritter OCR [OCR Information Retrieval]
• Typists‬‬ []
• Uncertainty []
• Undecided []
• Under-Segmentaion []
• Underfitting []
• Undersampling []
• UNDL []
• Uni-Gram []
• Unicode []
• Unidirectional []
• Unidirectional Language Model []
• United Nations-UN []
• Universal Networking Language []
• Unlabeled Examples []
• Unstructured []
• Unstructured Problems []
• Unsupervised []
• Unsupervised Learning []
• Unsupervised Machine Learning []
• Unsupervised Training []
• Update Gate []
• Uplift Model []
• Uplift Modeling []
• Upweighting []
• Usage Levels []
• User Matrix []
• User Modeling []
• UTF-8
• Validation []
• Validation Dataset []
• Validation Loss []
• Validation Set []
• Vanishing Gradient []
• Vanishing Gradient Problem []
• Variable Importance []
• Variance []
• Vectors []
• Verb Phrase []
• Verb-V []
• Verbal Phrase-VP []
• Vertical Projection []
• Video Search [Search Information Retrieval Human Language Technologies]
• Views Summarization []
• Visual Geometry Group-VGG []
• Viterbi []
• Viterbi Algorithm []
• Viterbi Search []
• Vocabulary []
• Vocabulary Space []
• Vocal Cords []
• Vocal Fold Vibration []
• Voicegrams []
• Voiceprints []
• Vowels []
• Waveform []
• Wavelength []
• Weak Supervision []
• Web Search []
• Weighted Sum []
• Weights []
• Well Defined Languages []
• Wide Model []
• Width []
• Wisdom of the Crowd []
• Word []
• Word Alignments []
• Word Based Grammar []
• Word Embedding []
• Word Error Rate-WER []
• Word Networks []
• Word Segmentation []
• Word Sense Disambiguation-WSD []
• Word Sequence Model []
• Word Vector Representation []
• Word-Based []
• Word-Based Statistical Machine Translation []
• WordNet [NLP Corpus Linguistics]
• Words Objective []
• Words Subjective [اللسانيات]
• Writer Identification []
• Writing Contours []
• Writing Style []
• Written Arabic []
• WSD Algorithms []
• X-Ray []
• Zero Projection []