Sentiment analysis (SA) has received growing attention in Arabic language research. However, few studies have yet to directly apply SA to Arabic due to lack of a publicly available dataset for this language. This paper partially bridges this gap due to its focus on one of the Arabic dialects which is the Saudi dialect. This paper presents annotated data set of 4700 for Saudi dialect sentiment a...

To start a research on the application of dialect in movies and their formation causes and social functions, we must place the questions into specific social and cultural background and examine the relations between dialect, mainstream language and the cultural views of audiences. This paper attempts to take Chinese movies as a starting point to discuss heterogeneity issues in filmic culture by...

Several recent papers on Arabic dialect identification have hinted that using a word unigram model is sufficient and effective for the task. However, most previous work was done on a standard fairly homogeneous dataset of dialectal user comments. In this paper, we show that training on the standard dataset does not generalize, because a unigram model may be tuned to topics in the comments and d...

Speech recognition for under-resourced languages represents an active field of research during the past decade. The tunisian arabic dialect has been chosen as a typical example for an under-resourced Arabic dialect. We propose, in this paper, our first steps to build an automatic speech recognition system for Tunisian dialect. Several Acoustic Models have been trained using HMM-GMM and HMM-DNN ...

In suspicion, characteristic dialect handling is an exceptionally brilliant strategy for the human-PC interface. Regular dialect grateful is once in a while alludes to as an Artificial Intelligence-whole issue since normal dialect distinguishing proof appears to include wide learning about the outside world and the capacity to control it. NLP has vital have regular qualities with the field of c...

Our paper describes work done on a text-dependent method for automatic utterance classi cation and dialect model selection using mean cepstral and duration features on a per phoneme basis. From transcribed dialect data, we build a linear discriminant to separate the dialects in feature space. This method is potentially much faster than our previous selection algorithm. We have been able to achi...

This paper is based on a nascent project on Lancashire dialect grammar, which aims to describe the relevant features of this dialect and to engage with related theoretical and methodological debates. We show how corpora allow one to arrive at more precise descriptions of the data than was previously possible. But we also draw attention to the need for other methods, in particular modern elicita...

This paper presents results of a socio-phonetic analysis of Taiwan Mandarin by using a corpus of questionnaire-based interview speech. Questions were asked to collect data of the interviewee’s background of language use, socio-economic status, and internet access in different regions of Taiwan. Two typical dialect-influenced pronunciation errors, the deletion of /w/ before /o/ and the delabilia...

Most acoustic analyses of Korean stops have focused on the Seoul dialect, and the few dialect surveys that have been done used participants from different age groups and cannot be easily compared to each other. In this study, word-initial stop productions were collected from speakers of three Korean dialects (Seoul, Daegu, and Jeju) born between 1980 and 1991. The acoustic correlates of the sto...