L1 transfer may be able to explain prosodic errors in an L2. For Japanese English prosody, several comparative studies have been conducted. Despite this, only oral reading texts have been used in previous studies and not much attention has been paid to the effect of differences in the L1 dialect, especially in the case of an “accentless” Japanese dialect. This preliminary study describes an inv...

Clean speech data is necessary for spoken language processing, however, there is no public Japanese dialect corpus collected for speech processing. Parallel speech corpora of dialect are also important because real dialect affects each other, however, the existing data only includes noisy speech data of dialects and their translation in common language. In this paper, we collected parallel spee...

A speaker's regional dialect is a rich source of information about that person. Two studies examined five- to six-year-old children's perception of regional dialect: Can they perceive differences among dialects? Have they made meaningful social connections to specific dialects? Experiment 1 asked children to categorize speakers into groups based on their accent; Experiment 2 asked them to match...

Traditional dialect maps are based on data from carefully selected informants which usually results in clear-cut dialect borders, isoglosses, with one dialect characteristic present on one side of the isogloss and absent on the other. We illustrate some of the problems and pitfalls connected with using dialect maps for ASR by comparing results from traditional dialect research with investigatio...

1. Introduction In traditional dialectology, dialect variation is often represented by areas within which similar dialects are spoken. The dialect areas are found by drawing dividing lines (isoglosses) between areas where different representations are found for selected linguistic variables. However, different isoglosses do not always coincide which makes it difficult to draw borders between th...

While sentiment analysis in English has achieved significant progress, it remains a challenging task in Arabic given the rich morphology of the language. It becomes more challenging when applied to Twitter data that comes with additional sources of noise including dialects, misspellings, grammatical mistakes, code switching and the use of non-textual objects to express sentiments. This paper de...

The Qiāng language occupies a privileged place among Sino-Tibetan languages spoken in China. It is one of the few languages in the area to have been uninterruptedly studied in the complexity of its dialects for almost a century by many non-Chinese and Chinese scholars, including some of the most eminent and prolific Sino-Tibetanists in China, such as Sūn Hóngkāi and Huáng Bùfán. Linguistic fiel...

In some languages, such as Korean and Japanese, some theoretically interesting postlexical tonal phenomena have been observed. The phenomena include, for example, downstep and edge tones in Tokyo Japanese (e.g. Kawakami 1961b, Pierrehumbert and Beckman 1988) and downstep and upstep in Northern Gyeongsang Korean (Kenstowicz and Sohn 1997, Jun et al. 2006). Also, some phenomena have shown the int...

In this paper we will expand on the creation and structure of the DynaSAND database as a case study of a corpus tool. Furthermore we will focus on its implementation in other search engines, thereby illustrating how the underlying data is decoupled from its original interface and used in new ways.