2017 3rd International Conference on Literature and Linguistics (ICOLL 2017) is the premier forum for the presentation of new advances and research results in the fields of theoretical, experimental, and applied Literature and Linguistics. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:

The Knowledge Base of Language Teacher Education
Social, Cultural, and Political Contexts of Language Teacher Education
Collaborations in Language Teacher Education
Practices of Language Teacher Education
The transformative nature of the role of language and communication in human cognition
The analysis of language and language use as providing a window into non-linguistic cognitive 
processes and structures
The relationship between linguistic structure and cognitive processes
Input and output of large character sets of Asian languages
Typesetting and font designs of Asian languages
Asian character encoding and compression
Multimodal representations and processing
Voice input and output
Phonology and morphology
Lexical semantics and word sense
Grammars, syntax, semantics and discourse
Word segmentation, chunking, tagging and syntactic parsing
Word sense disambiguation, semantic role labeling and semantic parsing
Discourse analysis
Language, linguistic and speech resource development
Evaluation methods and user studies
Machine learning for natural language
Text analysis, understanding, summarization and generation
Text mining and information extraction, summarization and retrieval
Text entailment and paraphrasing
Text Sentiment analysis, opinion mining and question answering
HMachine translation and multilingual processing
Linguistic, psychological and mathematical models of language, computational psycholinguistics
computational linguistics and mathematical linguistics
Language modeling, statistical methods in natural language processing and speech processing
Spoken language processing, understanding, generation and translation
Rich transcription and spoken information retrieval

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