Human Language Technology Challenges for Computer Science and Linguistics 5th Language and Technology Conference, LTC 2011, Poznan, Poland, November 25--27, 2011, Revised Selected Papers

Active Learning to Speed-up the Training Process for Dialogue Act Labelling.- Direct and Word graph-based Confidence Measures in Dialogue Annotation with N-Gram Transducers.- Orwell’s 1984 — from Simple to Multi-Word Units.- Application of Audio and Video Processing Methods for Language Research and Documentation. The AVA Tech Project.- Language Resources: General Issues.- Crowdsourcing for Language Resource Development: Criticisms about Amazon Mechanical Turk Overpowering Use.- Extending a Tool Resource Framework with U-Compare.- Language Resources: Ontologies and Wordnets.- Aligning GermaNet Senses with Wiktionary Sense Definitions.- A Tool for Transforming Word Net-like Databases.- KABA Subject Heading Language as the Main Resource Subject Organization Tool in a Semantic Knowledge Base.- Enhancing tagging systems by word net based ontologies.- Natural Language Ontology of Action. A gap with huge consequences for Natural Language Understanding and Machine Translation.- Classification-based extension of word nets from heterogeneous resources.- Pol Net – Polish Word Net.- Machine Translation.- Improving the Distribution of N-grams in Phrase Tables Obtained by the Sampling-based Method.- Marker-based Chunking in Eleven European Languages for Analogy-based Translation.- Comparing CBMT Approaches for German-Romanian.- Text Genre- An Unexplored Parameter in Statistical Machine Translation.- Problems concerning Less Resourced Languages Detecting Gaps in Language Resources and Tools in the Project CESAR.- A first LVCSR system for Luxembourgish, a low-resourced European Language.- Developing LRs for Non-Scheduled Indian Languages A Case of Magahi.- Quizzes on Tap: Exporting a Test Generation System from one Less-Resourced Language to Another.- A Multilingual Text Normalization Approach.- Creating Multilingual Parallel Corpora in Indian Languages.- Inducing grammars from IGT.