GenderGender includes the social, psychological, cultural and behavioral aspects of being a man, woman, or other gender identity. Depending on the context, this may include sex-based social structures (i.e. gender roles) and gender expression. Most cultures use a gender binary, in which gender is divided into two categories, and people are considered part of one or the other (boys/men and girls/women); those who are outside these groups may fall under the umbrella term non-binary.
Gender varianceGender variance or gender nonconformity is behavior or gender expression by an individual that does not match masculine or feminine gender norms. A gender-nonconforming person may be variant in their gender identity, being transgender or non-binary, or they may be cisgender. In the case of transgender people, they may be perceived, or perceive themselves as, gender-nonconforming before transitioning, but might not be perceived as such after transitioning.
Gender identityGender identity is the personal sense of one's own gender. Gender identity can correlate with a person's assigned sex or can differ from it. In most individuals, the various biological determinants of sex are congruent, and consistent with the individual's gender identity. Gender expression typically reflects a person's gender identity, but this is not always the case. While a person may express behaviors, attitudes, and appearances consistent with a particular gender role, such expression may not necessarily reflect their gender identity.
Speech recognitionSpeech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT). It incorporates knowledge and research in the computer science, linguistics and computer engineering fields. The reverse process is speech synthesis.
Gender neutralityGender neutrality (adjective form: gender-neutral), also known as gender-neutralism or the gender neutrality movement, is the idea that policies, language, and other social institutions (social structures or gender roles) should avoid distinguishing roles according to people's sex or gender. This is in order to avoid discrimination arising from the impression that there are social roles for which one gender is more suited than another.
Gender roleA gender role, also known as a sex role, is a social role encompassing a range of behaviors and attitudes that are generally considered acceptable, appropriate, or desirable for a person based on that person's sex. Gender roles are usually centered on conceptions of masculinity and femininity, although there are exceptions and variations. The specifics regarding these gendered expectations may vary among cultures, while other characteristics may be common throughout a range of cultures.
Pattern recognitionPattern recognition is the automated recognition of patterns and regularities in data. While similar, pattern recognition (PR) is not to be confused with pattern machines (PM) which may possess (PR) capabilities but their primary function is to distinguish and create emergent pattern. PR has applications in statistical data analysis, signal processing, , information retrieval, bioinformatics, data compression, computer graphics and machine learning.
Convolutional neural networkConvolutional neural network (CNN) is a regularized type of feed-forward neural network that learns feature engineering by itself via filters (or kernel) optimization. Vanishing gradients and exploding gradients, seen during backpropagation in earlier neural networks, are prevented by using regularized weights over fewer connections. For example, for each neuron in the fully-connected layer 10,000 weights would be required for processing an image sized 100 × 100 pixels.
Gender dysphoriaGender dysphoria (GD) is the distress a person experiences due to a mismatch between their gender identitytheir personal sense of their own genderand their sex assigned at birth. Previously, the diagnostic label gender identity disorder (GID) was used, until it was eliminated in 2013 with the release of the diagnostic manual DSM-5 in favor of the current term. The condition was renamed to remove the stigma associated with the term disorder. People with gender dysphoria commonly identify as transgender.
Gender systemGender systems are the social structures that establish the number of genders and their associated gender roles in every society. A gender role is "everything that a person says and does to indicate to others or to the self the degree that one is either male, female, or androgynous. This includes but is not limited to sexual and erotic arousal and response." Gender identity is one's own personal experience with gender role and the persistence of one's individuality as male, female, or androgynous, especially in self-awareness and behavior.
Multilayer perceptronA multilayer perceptron (MLP) is a misnomer for a modern feedforward artificial neural network, consisting of fully connected neurons with a nonlinear kind of activation function, organized in at least three layers, notable for being able to distinguish data that is not linearly separable. It is a misnomer because the original perceptron used a Heaviside step function, instead of a nonlinear kind of activation function (used by modern networks).
Naive Bayes classifierIn statistics, naive Bayes classifiers are a family of simple "probabilistic classifiers" based on applying Bayes' theorem with strong (naive) independence assumptions between the features (see Bayes classifier). They are among the simplest Bayesian network models, but coupled with kernel density estimation, they can achieve high accuracy levels. Naive Bayes classifiers are highly scalable, requiring a number of parameters linear in the number of variables (features/predictors) in a learning problem.
Grammatical genderIn linguistics, a grammatical gender system is a specific form of a noun class system, where nouns are assigned to gender categories that are often not related to the real-world qualities of the entities denoted by those nouns. In languages with grammatical gender, most or all nouns inherently carry one value of the called gender; the values present in a given language (of which there are usually two or three) are called the genders of that language.
Third genderThird gender is a concept in which individuals are categorized, either by themselves or by society, as neither man nor woman. It is also a social category present in societies that recognize three or more genders. The term third is usually understood to mean "other", though some anthropologists and sociologists have described fourth and fifth genders. The state of personally identifying as, or being identified by society as, a man, a woman, or other is usually also defined by the individual's gender identity and gender role in the particular culture in which they live.
Residual neural networkA Residual Neural Network (a.k.a. Residual Network, ResNet) is a deep learning model in which the weight layers learn residual functions with reference to the layer inputs. A Residual Network is a network with skip connections that perform identity mappings, merged with the layer outputs by addition. It behaves like a Highway Network whose gates are opened through strongly positive bias weights. This enables deep learning models with tens or hundreds of layers to train easily and approach better accuracy when going deeper.
Gender studiesGender studies is an interdisciplinary academic field devoted to analysing gender identity and gendered representation. Gender studies originated in the field of women's studies, concerning women, feminism, gender, and politics. The field now overlaps with queer studies and men's studies. Its rise to prominence, especially in Western universities after 1990, coincided with the rise of deconstruction.
Learning classifier systemLearning classifier systems, or LCS, are a paradigm of rule-based machine learning methods that combine a discovery component (e.g. typically a genetic algorithm) with a learning component (performing either supervised learning, reinforcement learning, or unsupervised learning). Learning classifier systems seek to identify a set of context-dependent rules that collectively store and apply knowledge in a piecewise manner in order to make predictions (e.g. behavior modeling, classification, data mining, regression, function approximation, or game strategy).
Artificial neural networkArtificial neural networks (ANNs, also shortened to neural networks (NNs) or neural nets) are a branch of machine learning models that are built using principles of neuronal organization discovered by connectionism in the biological neural networks constituting animal brains. An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal to other neurons.
Classifier (linguistics)A classifier (abbreviated or ) is a word or affix that accompanies nouns and can be considered to "classify" a noun depending on the type of its referent. It is also sometimes called a measure word or counter word. Classifiers play an important role in certain languages, especially East Asian languages, including Chinese, Korean, Japanese, and Vietnamese. Classifiers are absent or marginal in European languages. An example of a possible classifier in English is piece in phrases like "three pieces of paper".
Sex–gender distinctionThough the terms sex and gender have been used interchangeably since at least the fourteenth century, in contemporary academic literature they usually have distinct meanings. Sex generally refers to an organism's biological sex, while gender usually refers to either social roles typically associated with the sex of a person (gender role) or personal identification of one's own gender based on an internal awareness (gender identity).
