[PDF] Top 20 Towards Using Structural Events To Assess Non native Speech
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Towards Using Structural Events To Assess Non native Speech
... ies. For example, Mizera (2006) used fluency fac- tors related to speed, voiced smoothness (frequen- cies of repetitions or self-corrections), pauses, syn- tactic complexity (mean length of T-units), and accuracy, to ... See full document
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Native and Non-native English Teachers’ Rating Criteria and Variation in the Assessment of L2 Pragmatic Production: The Speech Act of Compliment
... the native and non- native raters’ ...among native speakers are accompanied with a NES mark next to them and those present among non-native raters, have a NNES ... See full document
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Experiments on Non native Speech Assessment and its Consistency
... As accuracy only captures a specific aspect of the model performance, various other perfor- mance measures have been studied. Table 2 sum- marizes results with the conventionally used psy- chometric measures - CK, QWK ... See full document
7
Toward Automated Content Feedback Generation for Non-native Spontaneous Speech
... spontaneous speech is a challenging task for a variety of ...automated speech recognition (ASR) system is used to generate an automated transcription of a spoken response as an input of the content fea- ... See full document
10
Computing and Evaluating Syntactic Complexity Features for Automated Scoring of Spontaneous Non Native Speech
... entropy speech (i.e., speech which is highly predictable), such as reading a passage aloud, it lacks many im- portant aspects of spontaneous speech which are relevant to be evaluated both by a human ... See full document
10
Automated Speech Recognition Technology for Dialogue Interaction with Non Native Interlocutors
... The evaluation was performed using vocal produc- tions obtained from language learners in the scope of large-scale internet-based language assessment. The production length is a major distinction of this data from ... See full document
5
Pragmatic Criteria in the Holistic and Analytic Rating of the Disagreement Speech Act of Iranian EFL Learners by Non-native English Speaking Teachers
... to assess the rater consistency between the holistic and analytic rating methods of disagreement speech acts in L2 by non-native English ...50 non-native English ... See full document
36
Non-native Accent and the Realization of Request Speech Act
... by non-native speakers as perceived and judged by American native ...their native language. Data collected from 15 non-native students and 15 native students showed that ... See full document
13
Native and Non-native Teachers’ Pragmatic Criteria for Rating Request Speech Act: The Case of American and Iranian EFL Teachers
... various speech acts has become ...the native and non-native EFL teachers‟ rating scores and criteria regarding the speech act of ...the speech act of ...between native and ... See full document
18
Assessing the Performance of Automatic Speech Recognition Systems When Used by Native and Non Native Speakers of Three Major Languages in Dictation Workflows
... documentation and translation workflows. In addition, we were interested in comparing two different ASR environments: a speaker-adapted ASR system installed on a laptop PC and a speaker-independent ASR system in a remote ... See full document
10
Automatic pronunciation assessment for language learners with acoustic phonetic features
... by native and non-native ...use native Hindi speakers‟ speech for training the phone models for both native and non-native ...Marathi speech (another ... See full document
8
Towards Using Conversations with Spoken Dialogue Systems in the Automated Assessment of Non Native Speakers of English
... With respect to RQ2, not all dialogues could be assessed by the expert (as shown by the “Not” As- sessed column of Table 1), often due to poor audio quality. Even for those dialogues that the expert was able to ... See full document
6
Detecting Structural Events for Assessing Non Native Speech
... on structural event detection has been strongly affected by the DARPA EARS pro- gram (EARS, ...the structural event detection (e.g., sentence units (SUs) and speech repairs) investigated in EARS was ... See full document
8
Using Rhetorical Structure Theory to Assess Discourse Coherence for Non native Spontaneous Speech
... The human agreement results also indicate that two annotators tend to agree better on responses from speakers with higher speaking proficiency levels, which is demonstrated by positive corre- lations (Pearson correlation ... See full document
10
Towards Automatic Scoring of Non Native Spontaneous Speech
... This paper investigates the feasibility of automated scoring of spoken English proficiency of non-native speakers. Unlike existing automated assessments of spoken English, our data consists of spontaneous ... See full document
8
Using an Ontology for Improved Automated Content Scoring of Spontaneous Non Native Speech
... model, using both content features, as well as features related to other aspects of the essay, such as grammar and vocabulary usage (Burstein, 2003; Attali & Burstein, ...spontaneous speech responses ... See full document
9
Native Language Identification on Text and Speech
... by non- native English speakers of eleven native languages taking a standardized assessment of English profi- ciency for academic ...purposes. Native languages included are: Arabic, Chinese, ... See full document
7
Improved pronunciation features for construct driven assessment of non native spontaneous speech
... automatic speech scoring ...of speech by native and non-native speakers of English and other languages ...the speech read by subjects and the ideal path through the HMM was ... See full document
8
Native Language Identification Using a Mixture of Character and Word N grams
... the native language identification of essays (outperforming the baseline F1-score of ...on speech transcriptions (whose base- line F1-score is ...in speech transcriptions, the file lengths vary much ... See full document
7
A Meta Learning Approach to Grammatical Error Correction
... input space, so researchers have often tried to combine different classifiers together (Breiman, 1996; Cohen et al., 2007; Zhang, 2007; Aydın, 2009; Menahem et al., 2009). To capitalize on the strengths and compensate ... See full document
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