Hate speech recognition in multilingual text: hinglish documents

Character-Based Handwritten Text Recognition of Multilingual Documents

An effective approach to transcribe handwritten text documents is to follow a sequential interactive approach. During the supervision phase, user corrections are incorporated into the system through an ongoing retraining process. In the case of multilingual documents with a high percentage of out-of-vocabulary (OOV) words, two principal issues arise. On the one hand, a minor yet important matte...

Multilingual Speech Recognition

Multilingual Speech Recognition

We present two concepts for systems with language identification in the context of multilingual information retrieval dialogs. The first one has an explicit module for language identification. It is based on training a common codebook for all the languages and integrating over the output probabilities of language specific –gram models trained over the codebook sequences. The system can decide f...

Multilingual Speech Recognition

The speech-to-speech translation system Verbmobil requires a multilingual setting. This consists of recognition engines in the three languages German, English and Japanese that run in one common framework together with a language identification component which is able to switch between these recognizers. This article describes the challenges of multilingual speech recognition and presents diffe...

Clustering multilingual documents by estimating text - to - text semantic relatedness

This thesis is about multilingual document clustering through estimating semantic relatedness between multilingual texts. Specifically we focus on the task of clustering multilingual documents with very limited or no supervisory information. We present two approaches to address the problem : a comparable-corpora based approach and a web-searches based approach. Our first approach derives pairwi...