Ángela Almela, PhD is a corpus linguist who specializes in English and Spanish. She earned her M.A. in English Language and PhD with distinction in Linguistics at the Universidad de Murcia, Spain. Her doctoral dissertation developed and tested a method for deception detection in English and Spanish. Her lines of research include forensic, computational and applied linguistics, within which she has published over 50 articles in journals, conferences, and book chapters, several of them in JCR-indexed journals. Furthermore, she has been involved in research projects with Indra Software Labs S.L.U. and Universidad Carlos III, among others. She has also been a visiting scholar at Fondazione Bruno Kessler (Italy), Freie Universität Berlin (Germany) and Institute for Linguistic Evidence (USA).
Dr. Almela has taught language and linguistics at Universidad de Murcia, University Center of Defense at the Spanish Air Force Academy (MDE-UPCT) and Universidad Católica San Antonio (Spain). Currently, she is an Associate Professor at the Universidad de Murcia.
At ALIAS Technology, Angela serves on the Linguist Support Team for SynAID, Profiler and WISER1.
Carole E Chaski PhD is a syntactician and computational linguist who specializes in developing tools for the analysis of syntactic variation. She attended St. John’s College in Annapolis and earned her A.B. magna cum laude in English and Ancient Greek at Bryn Mawr College. After teaching high school English, she earned her M.Ed. in Psychology of Reading at the University of Delaware and her M.A. and Ph.D. in Linguistics at Brown University. Her doctoral dissertation researched the loss of the Greek infinitive from Homeric to early Modern Greek from the analytical perspectives of three major syntactic theories (government-binding, head-driven phrase structure grammar and lexical-functional grammar). She has programmed in Pascal, PL-1, LISP, Visual Basic, Visual C#, Python and Filemaker. She has used statistical software such as SAS, JMP, Weka, R and SPSS.
At ALIAS Technology, in addition to her executive roles, Carole serves on the Linguist Support Team for SynAID, Profiler and other modules as cases warrant.
Mariam Dar PhD is a phonetician and child language specialist. She earned her Ph.D. and M.A. in Psycholinguistics from the University of York, England. She was an Overseas Student Scholarship recipient.
Dr. Dar has extensive research experience in various established institutions in Pakistan and in the UK at the Infant and Toddler Laboratory at University of York. She has worked with both typical and atypical language development in the early years. Dr. Dar created the first research laboratory for the study of infant language development in her native Pakistan. She has also created the first language assessment tool for Pakistani children, a bilingual Urdu-English McArthur Communicative Development Inventory (CDI). Currently, she is part of a collaborative project with researchers from the UK and India to adapt the bilingual Urdu CDI to Hindi: Both projects have great potential for research and clinical use (such as identifying speech delays, early diagnosis of disorders related to language delay, developing /modifying interventions and clinical treatments etc.) not only in the native countries but anywhere in the world where Urdu/Hindi communities are prevalent. At ILE, Dr Dar is leading a project on linguistic identification of religious extremism that can play a crucial role in preventing acts of terrorism, and verification for future crimes.
Dr. Dar has wide experience as a language analyst/expert. As part of Machine Intelligence Team, she has worked as a computational linguist for many leading firms on various projects for the process of creating speech technology, such as virtual agents, speech recognition and synthesis, and TTS (text-to-speech) lexicon. She also worked as a forensic phonetician in England performing tasks such as audio transcription, and accent/dialect identification.
Dr. Dar has excellent proficiency in English, has intermediate proficiency in Pashto and is a native speaker of Urdu, Hindi, and Punjabi. Dr. Dar has taught in both Pakistan and England.
At ALIAS Technology, Mariam serves on the Linguist Support Team for SynAID and Profiler.
Nan Decker PhD is a syntactician specializing in grammars for machine translation and other applications. She earned her BA in English from Wellesley College, M.Ed. in Deaf-Blind Education from San Francisco State College, and Ph.D. in Linguistics from Brown University. Her experiences teaching deaf-blind students at Perkins School for the Blind sparked an interest in the complexities of syntax acquisition and led her to work at WGBH-TV, where she was part of a team that developed a captioning system for hearing-impaired viewers which controlled syntax, vocabulary and inferential content. Her doctoral dissertation concerned syntactic cues to discourse structure in hard news reports.
After earning her doctorate, she went on to work at Mead Data Central (now LexisNexis), where she designed a grammar for identifying legal citations in a large online database. For over twenty years, she worked in the field of machine translation, first at Language Engineering and then LogoVista U.S., building a richly annotated online dictionary and grammar for automatic translation of written English text to Japanese text.
At ALIAS Technology, Nan serves on the Linguist Support Team for SynAID and ILER.
Beyond this core team, ALIAS Technology LLC also brings other linguists into cases as needed for specific expertise.