We describe a CRF based system for word-level language identification of code-mixed text. Our method uses lexical, contextual, character n-gram, and special character features, and therefore, can easily be replicated across languages. Its performance is benchmarked against the test sets provided by the shared task on code-mixing (Solorio et al., 2014) for four language pairs, namely, EnglishSpa...

The term "koine" has been applied to a variety of languages, only some of which are analagous in form and function to the original Greek koine. The term "koineization" has more recently been applied to the process of levelling which may result in a koine. This article examines various definitions and usages of these terms in the literature and proposes a more precise utilization in the context ...

Multilingual users of social media sometimes use multiple languages during conversation. Mixing multiple languages in content is known as code-mixing. We annotate a subset of a trilingual code-mixed corpus (Barman et al., 2014) with part-of-speech (POS) tags. We investigate two state-of-the-art POS tagging techniques for code-mixed content and combine the features of the two systems to build a ...

The film Ayat-ayat Cinta is one of Indonesia's best-selling films with a religious genre that conveys messages peace, love, and the meaning friendship upholds humanist values ​​and values. shows use heterogeneous language because it tells life an Indonesian student who studying in Egypt. So this study aims to describe form code-switching code-mixing contained Ayat-Ayat 1. This uses qualitative ...

Due to the revolution of digital music, people can create recordings in a home studio with cheaper gear. However multi-track recordings need to be mixed to combine them into one or more channels. The question is that mixing requires background knowledge in sound engineering and psychoacoustics. It is difficult to get good mixdown for non-specialist in sound engineer. In this paper, we use super...

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 ...