wanyu/IteraTeR_v2 huggingface dataset:
Original:  Further, We also investigate the effectiveness of embedded auxiliary decoder used after N encoder sub-layers, and is trained with the frame-level objective function for identifying source phoneme labels.
Revised:  Further, We also investigate the effectiveness of embedded auxiliary decoder used after N encoder sub-layers, trained with the frame-level objective function for identifying source phoneme labels.
Edit intent: coherence
Original:  In addition, we measure spectral shape of it by measuring formant distributions w.r.t. the reference speech, as formant divergence metric.
Revised:  Alternatively, we also propose a novel method to measure spectral shape of it by measuring formant distributions w.r.t. the reference speech, as formant divergence metric.
Edit intent: clarity
Original:  In addition, we measure spectral shape of it by measuring formant distributions w.r.t. the reference speech, as formant divergence metric.
Revised:  In addition, we measure spectral shape of it by measuring formant distributions w.r.t. reference speech, as formant divergence metric.
Edit intent: clarity
Original:  We have found whisper-to-natural converted speech formants probability distribution is similar to the ground-truth distribution.
Revised:  We have found whisper-to-natural converted speech formants probability distribution is similar to the groundtruth distribution.
Edit intent: fluency
Original:  To the authors' best knowledge, this is the first time modified transformer has been applied for whisper-to-natural-speech conversion and vice versa.
Revised:  To the authors' best knowledge, this is the first time enhanced transformer has been applied for whisper-to-natural-speech conversion and vice versa.
Edit intent: clarity
Original:  Also, most existing call corpora are in English and mainly focus on open-domain dialog or general scenarios such as audiobooks.
Revised:  Also, most existing call corpora are in English and mainly focus on open domain dialog or general scenarios such as audiobooks.
Edit intent: fluency
Original: Infection of viruses is here simulated over human networks where the widths, defined as two constants representing the size of the contacting community, are constrained.
Revised: The spreading of virus infection is here simulated over human networks where the widths, defined as two constants representing the size of the contacting community, are constrained.
Edit intent: clarity
Original:  As a result, findings have been obtained for the range of moderately strong constraints .
Revised:  As a result, findings have been obtained .
Edit intent: clarity
Original:  First, the height of the peaks in the time sequence of the number of infection cases tends to get reduced responding to the upper bound of the size of groups where all members meet.
Revised:  First, the height of the peaks in the time sequence of the number of infection cases tends to get reduced corresponding to the upper bound of the size of groups where all members meet.
Edit intent: clarity
Original: Numerical climate- and weather-prediction models require the fast solution of the equations of fluid dynamics.
Revised: Numerical climate- and weather-prediction requires the fast solution of the equations of fluid dynamics.
Edit intent: clarity
Original:  They can be used for arbitrary domains and support a structured data layout, which is particularly important on modern chip architectures.
Revised:  They can be used for arbitrary domains and support a structured data layout, which is important on modern chip architectures.
Edit intent: clarity
Original:  For the shallow water equations, which form an important model system, hybridized DG methods have been shown to overcome this issue.
Revised:  For the shallow water equations, which form an important model system, hybridised DG methods have been shown to overcome this issue.
Edit intent: fluency
Original:  In this paper we  show that the elliptic system for the flux unknowns can be solved efficiently by using a non-nested multigrid algorithm.
Revised:  In this paper we show that the elliptic system for the flux unknowns can be solved efficiently with a non-nested multigrid algorithm.
Edit intent: fluency
Original:  The method is implemented in the Firedrake library and we demonstrate the superior performance of the algorithm for a representative model problem .
Revised:  The method is implemented in the Firedrake library and we demonstrate the excellent performance of the algorithm for a representative model problem .
Edit intent: clarity
Original:  This makes every piece of information about the item always have equal importance in representing the item during matching with various user intents.
Revised:  This makes every piece of information about the item always equally important in representing the item during matching with various user intents.
Edit intent: clarity
Original:  Given the above limitations, we propose a review-based transformer model (RTM) for personalized product search, which encodes the sequence of query, user reviews, and item reviews with a transformer architecture.
Revised:  Aware of the above limitations, we propose a review-based transformer model (RTM) for personalized product search, which encodes the sequence of query, user reviews, and item reviews with a transformer architecture.
Edit intent: fluency
Original:  Moreover, review-level matching is conducted between the user and item, where each reviewhas a dynamic effect according to the context in the sequence.
Revised:  Moreover, review-level matching between the user and item, where each reviewhas a dynamic effect according to the context in the sequence.
Edit intent: clarity
Original:  Moreover, review-level matching is conducted between the user and item, where each reviewhas a dynamic effect according to the context in the sequence.
Revised:  Moreover, review-level matching is conducted between the user and item, where each review has a dynamic effect according to the context in the sequence.
Edit intent: fluency
Original:  Experimental results show that RTM achieves significantly better performance than state-of-the-art personalized product search baselines.
Revised:  Experimental results show that RTM significantly outperforms state-of-the-art personalized product search baselines.
Edit intent: clarity
Original: In this paper, we aim to integrate findings from the fields of machine learning and network science to argue that organisms can be modeled as hierarchical Bayesian control systems with small world and bottleneck (bow tie ) network structure.
Revised: In this paper, we show that organisms can be modeled as hierarchical Bayesian control systems with small world and bottleneck (bow tie ) network structure.
Edit intent: coherence
Original: In this paper, we aim to integrate findings from the fields of machine learning and network science to argue that organisms can be modeled as hierarchical Bayesian control systems with small world and bottleneck (bow tie ) network structure.
Revised: In this paper, we aim to integrate findings from the fields of machine learning and network science to argue that organisms can be modeled as hierarchical Bayesian control systems with small world and information bottleneck (bow-tie ) network structure.
Edit intent: clarity
Original:  The nested hierarchical organization of such networks allows organisms to form increasingly integrated percepts and concepts of their inner and outer context, which can be compared to increasingly encompassing predictive models of the world (goal states), to allow for an optimal controlof actions .
Revised:  Such systems combine hierarchical perception with hierarchical goal setting and hierarchical action control .
Edit intent: clarity
Original:  We argue that hierarchical Bayesian inference produces a hierarchy of goal states, from which it follows that organisms must have some form of ` highest goals'.
Revised:  We argue that hierarchical Bayesian control systems produce deep hierarchies of goal states, from which it follows that organisms must have some form of ` highest goals'.
Edit intent: clarity
Original:  We argue that hierarchical Bayesian inference produces a hierarchy of goal states, from which it follows that organisms must have some form of ` highest goals'.
Revised:  We argue that hierarchical Bayesian inference produces a hierarchy of goal states, from which it follows that organisms must have some form of ' highest goals'.
Edit intent: fluency
Original:  For all organisms, these predictive models involve interior (self) models, exterior (social) models and overarching (normative) models.
Revised:  For all organisms, these involve internal (self) models, exterior (social) models and overarching (normative) models.
Edit intent: clarity
Original:  For all organisms, these predictive models involve interior (self) models, exterior (social) models and overarching (normative) models.
Revised:  For all organisms, these predictive models involve interior (self) models, external (social) models and overarching (normative) models.
Edit intent: clarity
Original:  We show how such goals are constructed from progressively lesser goal states and that goal hierarchies tend to decompose in a top-down manner under severe and prolonged levels of stress.
Revised:  We show that goal hierarchies tend to decompose in a top-down manner under severe and prolonged levels of stress.
Edit intent: coherence
Original:  In humans, learning higher-level world models corresponds to personality development .
Revised:  In humans, learning goal hierarchies corresponds to personality development .
Edit intent: clarity
Original:  A top-down collapse of high-level integrative goal states under stress is identified as a common factor in all forms of mental disease (psychopathology).
Revised:  A top-down collapse of such hierarchies under stress is identified as a common factor in all forms of mental disease (psychopathology).
Edit intent: clarity
Original:  A top-down collapse of high-level integrative goal states under stress is identified as a common factor in all forms of mental disease (psychopathology).
Revised:  A top-down collapse of high-level integrative goal states under stress is identified as a common factor in all forms of episodic mental disorders (psychopathology).
Edit intent: clarity
Original:  The numerically computed optimal control strategy is a single-intervention scenario that goes beyond heuristically motivated interventions and simple "flattening of the curve ".
Revised:  The numerically computed optimal control strategy is a single-intervention scenario that goes beyond heuristically motivated interventions and simple "flattening of the curve ."
Edit intent: fluency
Original:  The model system is calibrated to reproduce the initial exponential growth phase of the COVID-19 epidemic in Germany.
Revised:  The model system is calibrated to reproduce the initial exponential growth phase of the COVID-19 pandemic in Germany.
Edit intent: fluency
Original:  However, social media platforms are also populated by bots, automated accounts that can amplify certain topics of discussion at the expense of others , possibly distorting the perception of the ongoing conversation .
Revised:  However, social media platforms are also populated by bots, automated accounts that can amplify certain topics of discussion at the expense of others .
Edit intent: clarity
Original:  Further we show that no such bounds hold for most prior definitions of weighted Laplacian and weighted isoperimetric constant.
Revised:  Further we show that no such inequalities hold for most prior definitions of weighted Laplacian and weighted isoperimetric constant.
Edit intent: clarity
Original:  We construct these appropriate definitions of sparse cut and principal eigenfunction in the probability density setting , and show that Cheeger and Buser type inequalities similar to those for the normalized graph Laplacian of Alon-Milman are true when \alpha = 1, \beta= 2, \gamma=3.
Revised:  We construct these appropriate definitions of sparse cut and principal eigenfunction in the probability density setting . Then, we prove Cheeger and Buser type inequalities similar to those for the normalized graph Laplacian of Alon-Milman are true when \alpha = 1, \beta= 2, \gamma=3.
Edit intent: coherence
Original:  In practice, it is often of interest to ``refine'' or ``improve'' a given cluster that has been obtained by some other method.
Revised:  In practice, it is often of interest to "refine" or "improve" a given cluster that has been obtained by some other method.
Edit intent: fluency
Original:  When combined, our bounds appear to be within a factor of 2 of the numerically-measured empirical asymptotic rate, uniformly over (0,1)^2, and they become sharp in certain regions.
Revised:  When combined, the bounds are within a factor of 2 of the numerically-measured empirical asymptotic rate, uniformly over (0,1)^2, and they become sharp in certain regions.
Edit intent: clarity
Original:  When combined, our bounds appear to be within a factor of 2 of the numerically-measured empirical asymptotic rate, uniformly over (0,1)^2, and they become sharp in certain regions.
Revised:  When combined, our bounds appear to be within a factor of two of the numerically-measured empirical asymptotic rate, uniformly over (0,1)^2, and they become sharp in certain regions.
Edit intent: fluency
Original:  However, our results are not asymptotic: they apply to essentially all N, p, and q, and with all constants explicit.
Revised:  However, the results are not asymptotic: they apply to essentially all N, p, and q, and with all constants explicit.
Edit intent: coherence
Original: This paper explores the data cleaning challenges that arise in using WiFi connectivity data to locate users to semantic indoor locations such as floors , regions, rooms , etc .
Revised: This paper explores the data cleaning challenges that arise in using WiFi connectivity data to locate users to semantic indoor locations such as floors , regions, rooms .
Edit intent: coherence
Original:  WiFi connectivity data consists of sporadic connections between devices and nearby WiFi access points (APs) , each of which may cover a relatively large area within a building.
Revised:  WiFi connectivity data consists of sporadic connections between devices and nearby WiFi access points , each of which may cover a relatively large area within a building.
Edit intent: clarity
Original:  This allows the device to be localized to the region covered by the AP.
Edit intent: coherence
Original:  It then associates the device with the semantic subregion (e.g., a conference room in the region) by postulating it as a location disambiguation problem , akin to the entity resolution challenge studied in database literature .
Revised:  It then associates the device with the semantic subregion (e.g., a conference room in the region) by postulating it as a location disambiguation problem .
Edit intent: clarity
Original:  WiFi connectivity data consists of sporadic connections between devices and nearby WiFi access points  , each of which may cover a relatively large area within a building.
Revised:  WiFi connectivity data consists of sporadic connections between devices and nearby WiFi access points (APs) , each of which may cover a relatively large area within a building.
Edit intent: clarity
Original:  Our system, entitled semantic LOCATion cleanER (LOCATER), postulates semantic localization as a series of data cleaning challenges - first, it treats the problem of determining the AP to which a device is connected between any two of its connection events as a missing value detection and repair problem.
Revised:  Our system, entitled semantic LOCATion cleanER (LOCATER), postulates semantic localization as a series of data cleaning tasks - first, it treats the problem of determining the AP to which a device is connected between any two of its connection events as a missing value detection and repair problem.
Edit intent: clarity
Original:  We propose a bootstrapping semi-supervised learning method for the coarse localization and  probabilistic method to achieve finer localization.
Revised:  We propose a bootstrapping semi-supervised learning method for coarse localization and probabilistic method to achieve finer localization.
Edit intent: clarity
Original:  We propose a bootstrapping semi-supervised learning method for the coarse localization and  probabilistic method to achieve finer localization.
Revised:  We propose a bootstrapping semi-supervised learning method for the coarse localization and a probabilistic method to achieve finer localization.
Edit intent: fluency
Original:  We show that LOCATER can achieve significantly high accuracy at both the coarse and fine levels . LOCATER offers several benefits over traditional indoor localization approaches since it neither requires active cooperation from users (e.g., downloading code on a mobile device and communicating with the server) nor installing external hardware (e.g., network monitors) .
Revised:  The paper shows that LOCATER can achieve significantly high accuracy at both the coarse and fine levels . LOCATER offers several benefits over traditional indoor localization approaches since it neither requires active cooperation from users (e.g., downloading code on a mobile device and communicating with the server) nor installing external hardware (e.g., network monitors) .
Edit intent: clarity
Original:  We show that LOCATER can achieve significantly high accuracy at both the coarse and fine levels . LOCATER offers several benefits over traditional indoor localization approaches since it neither requires active cooperation from users (e.g., downloading code on a mobile device and communicating with the server) nor installing external hardware (e.g., network monitors) .
Revised:  We show that LOCATER can achieve significantly high accuracy at both the coarse and fine levels .
Edit intent: coherence
Original: We study observed incidence of self-disclosure in a large dataset of Tweets representing user-led English-language conversation about the Coronavirus pandemic in the month between March 1 and April 3, 2020.
Revised: We study observed incidence of self-disclosure in a large dataset of Tweets representing user-led English-language conversation about the Coronavirus pandemic .
Edit intent: coherence
Original:  Using an unsupervised approach to detection of voluntary disclosure of personal information, we provide early evidence that situational factors surrounding the Coronavirus pandemic may impact individuals' privacy calculus.
Revised:  Using an unsupervised approach to detect voluntary disclosure of personal information, we provide early evidence that situational factors surrounding the Coronavirus pandemic may impact individuals' privacy calculus.
Edit intent: fluency
Original:  Conway studied the problem "\exists\sigma:\sigma(L)\subseteq R?"  . He showed that there are finitely many maximal solutions which are effectively computable, that every solution is included in a maximal one, and  \sigma(x) is regular for all x\in X.
Revised:  Conway studied the problem "\exists\sigma:\sigma(L)\subseteq R?" . He showed that there are finitely many maximal solutions which are effectively computable, that every solution is included in a maximal one, and that \sigma(x) is regular for all x\in X.
Edit intent: fluency
Original:  Since or definition coincides with the classical IO substitutions, we write io(L) instead of \sigma(L).
Revised:  Since our definition coincides with the classical IO substitutions, we write io(L) instead of \sigma(L).
Edit intent: fluency
Original:  In this sense the decidability of "\exists\sigma:io(L)=R?" if both L and R are regular can be viewed as optimal.
Revised:  In this sense the decidability of "\exists\sigma:io(L)=R?" for regular L and R are regular can be viewed as optimal.
Edit intent: clarity
Original:  In this sense the decidability of "\exists\sigma:io(L)=R?" if both L and R are regular can be viewed as optimal.
Revised:  In this sense the decidability of "\exists\sigma:io(L)=R?" if both L and R can be viewed as optimal.
Edit intent: clarity
Original: We investigate regular matching problems with respect to substitutions .
Revised: We investigate regular matching problems .
Edit intent: clarity
Original:  He studied the problem "\exists\sigma:\sigma(L)%DIFDELCMD < \subseteqR%%% ?" where L\subseteq (\Sigma\cup X)^* and R\subseteq\Sigma^* are regular languages , \Sigma is a set of constants , and X is a set of variables.
Revised:  He studied the problem "\exists\sigma:\sigma(L)%DIFDELCMD < \subseteqR%%% ?" where L\subseteq (\Sigma\cup X)^* and R\subseteq\Sigma^* be regular languages where \Sigma is a set of constants , and X is a set of variables.
Edit intent: fluency
Original:  He studied the problem "\exists\sigma:\sigma(L)%DIFDELCMD < \subseteqR%%% ?" where L\subseteq (\Sigma\cup X)^* and R\subseteq\Sigma^* are regular languages , \Sigma is a set of constants , and X is a set of variables.
Revised:  He studied the problem "\exists\sigma:\sigma(L)%DIFDELCMD < \subseteqR%%% ?" where L\subseteq (\Sigma\cup X)^* and R\subseteq\Sigma^* are regular languages , \Sigma is a set of constants and X is a set of variables.
Edit intent: fluency
Original:  We define a notion of choice function \gamma which for any tree s over \Sigma\cup X and position u labeled by variable x \in X selects at most one tree \gamma(u) in \sigma(x) . In this way we define \gamma_\infty(s) as the limit of a Cauchy sequence;
Revised:  We define a notion of choice function \gamma which for any tree s over \Sigma\cup X and position u of a variable x selects at most one tree \gamma(u) in \sigma(x) . In this way we define \gamma_\infty(s) as the limit of a Cauchy sequence;
Edit intent: clarity
Original:  We define a notion of choice function \gamma which for any tree s over \Sigma\cup X and position u labeled by variable x \in X selects at most one tree \gamma(u) in \sigma(x) . In this way we define \gamma_\infty(s) as the limit of a Cauchy sequence;
Revised:  We define a notion of choice function \gamma which for any tree s over \Sigma\cup X and position u labeled by variable x \in X selects at most one tree \gamma(u) in \sigma(x) ; next, we define \gamma_\infty(s) as the limit of a Cauchy sequence;
Edit intent: coherence
Original:  and the union over all these \gamma_\infty(s) leads to a natural notion of \sigma(s).
Revised:  and the union over all \gamma_\infty(s) leads to a natural notion of \sigma(s).
Edit intent: clarity
Original:  and the union over all these \gamma_\infty(s) leads to a natural notion of \sigma(s).
Revised:  and the union over all these \gamma_\infty(s) yields \sigma(s).
Edit intent: clarity
Original:  Since our definition coincides with the classical IO substitutions, we write io(L) instead of \sigma(L).
Revised:  Since our definition coincides with that for IO substitutions, we write io(L) instead of \sigma(L).
Edit intent: clarity
Original:  As }  a special case , for L context-free and R regular "\exists\sigma:\sigma_{io}(L) \subseteq R?" is decidable, but "\exists\sigma:\sigma_{io =R?" is not.
Revised:  As } a special case pops up if L is context-free and R regular "\exists\sigma:\sigma_{io}(L) \subseteq R?" is decidable, but "\exists\sigma:\sigma_{io =R?" is not.
Edit intent: clarity
Original:  As }  a special case , for L context-free and R regular "\exists\sigma:\sigma_{io}(L) \subseteq R?" is decidable, but "\exists\sigma:\sigma_{io =R?" is not.
Revised:  As } a special case , for L context-free . Note that "\exists\sigma:\sigma_{io}(L) \subseteq R?" is decidable, but "\exists\sigma:\sigma_{io =R?" is not.
Edit intent: clarity
Original:  As }  a special case , for L context-free and R regular "\exists\sigma:\sigma_{io}(L) \subseteq R?" is decidable, but "\exists\sigma:\sigma_{io =R?" is not.
Revised:  As } a special case , for L context-free and R regular "\exists\sigma:\sigma_{io}(L) =R?" is not.
Edit intent: coherence
Original:  In this sense the decidability of "\exists\sigma:\sigma_{io}(L)=R?" for regular L and R can be viewed as optimal .
Revised:  In this sense the decidability of "\exists\sigma:\sigma_{io}(L)=R?" if both L and R can be viewed as optimal .
Edit intent: clarity