Word-Based Dialect Identification with Georeferenced Rules
نویسندگان
چکیده
We present a novel approach for (written) dialect identification based on the discriminative potential of entire words. We generate Swiss German dialect words from a Standard German lexicon with the help of hand-crafted phonetic/graphemic rules that are associated with occurrence maps extracted from a linguistic atlas created through extensive empirical fieldwork. In comparison with a charactern-gram approach to dialect identification, our model is more robust to individual spelling differences, which are frequently encountered in non-standardized dialect writing. Moreover, it covers the whole Swiss German dialect continuum, which trained models struggle to achieve due to sparsity of training data.
منابع مشابه
The Status of [h] and [ʔ] in the Sistani Dialect of Miyankangi
The purpose of this article is to determine the phonemic status of [h] and [ʔ] in the Sistani dialect of Miyankangi. Auditory tests applied to the relevant data show that [ʔ] occurs mainly in word-initial position, where it stands in free variation with Ø. The only place where [h] is heard is in Arabic and Persian loanwords, and only in the pronunciation of some speakers who are educated and/or...
متن کاملAdvances in Word based Dialect/
In an earlier study, we proposed a very effective dialect/accent classification algorithm, which is named Word based Dialect Classification (WDC). The WDC works well for large size corpora and significantly outperforms traditional Large Vocabulary Continuous Speech Recognition (LVCSR) based systems, which is claimed to be the best performing system for language identification. For a small train...
متن کاملThe effect of first language (L1) dialects on the identification of Vietnamese word-final stops
This study examined the extent to which speakers’ first language (L1) dialect affects the identification of word-final stops in Vietnamese. Stops in the word-final position are unreleased in Vietnamese. Further, there is a /t/-/k/ merger in the Southern, but not the Northern dialect. We tested the hypothesis that the stop tokens produced in the Southern dialect are identified less accurately th...
متن کاملPerceptual and Phonetic Experiments on American English Dialect Identification
The ability to discern the use of a nonstandard dialect is often enough information to also determine the speaker’s ethnicity, and speakers may consequently suffer discrimination based on their speech. This article, detailing four experiments, shows that housing discrimination based solely on telephone conversations occurs, dialect identification is possible using the word hello, and phonetic c...
متن کاملDialect variation in Boro Language and Grapheme-to-Phoneme conversion rules to handle lexical lookup fails in Boro TTS System
It is not possible to include all the words in a natural language for general text-to-speech system. Grapheme-tophoneme conversion system is essential to pronounce a word which is out of vocabulary. Grapheme-to-phoneme rules play a vital role where lexical lookup fails. Though basic Grapheme-tophoneme rules system is very simple yet it is very powerful for naturalness of a TTS system. Letter-to...
متن کامل