The STAM project addresses the problem of automatic transcription of SMS language and especially the translation of messages written in Arabic dialect. The objective of STAM system is to automatically translate texts written in SMS language in a dialect spoken in the Arab World (source language) into a French text (target language), interpretable and understandable. Mots-clés : Dialecte, SMS, T...

We discuss the notion of language and dialect-specific search in the context of audio indexing. A system is described where users can find dialect or language-specific pronunciations of Afghan placenames in Dari and Pashto. We explore the efficacy of a phonetic speech recognition system employed in this task.

Since there are only a few resources for Swiss German dialects, we compiled a corpus of 115,000 tokens, manually annotated with PoStags. The goal is to provide a basic data set for developing NLP applications for Swiss German. We extended the original corpus and improved its annotation consistency. Furthermore, we trained dialect-specific PoS-tagging models and implemented a baseline system for...

We present new language resources for Moroccan and Sanaani Yemeni Arabic. The resources include corpora for each dialect which have been morphologically annotated, and morphological analyzers for each dialect which are derived from these corpora. These are the first sets of resources for Moroccan and Yemeni Arabic. The resources will be made available to the public.

This research investigates about phonetic differences between Rantau Keloyang Dialect and Sungai Beringin Dialect. The purpose of the are (1) to know in term vowel, consonant Diphthong (2) identify phoneme Data gained through eliciting, participating note taking technique. analyzed based on theories proposed by Crowley (1987). result this show that both dialects occurred due phonemic change, di...

This paper proposes methods for determining an appropriate mixing ratio of dialects in automatic speech recognition (ASR) for dialects. To handle ASR for various dialects, it has been reported to be effective to train a language model using a dialectmixed corpus. One reason behind this is geographical continuity of spoken dialect; we regard spoken dialect as a mixture of various dialects. This ...

The performance of speech recognition systems will be improved if the corpus is organized in the specialized domain and is applied in a consistent way for speech recognition in specific situations. Vietnamese dialects are various. The building of corpus for Vietnamese dialect is the first step for implementing the system of dialect identification used for increasing the performance of Vietnames...

Phonological differences between regional dialects of American English are well established in the sociolinguistics literature. The perception of these phonological differences by naïve listeners is much less well understood, however. Using an existing corpus of spoken sentences produced by talkers from a number of distinct regional dialects in the United States, an acoustic analysis was conduc...