PPT-Comparable Corpora BootCat

CCBC Adam Kilgarriff Avinesh PVS Lexical Computing Ltd BootCaT Bootstrapping Corpora and Terms Translators Know the language Not domain experts Can interpret domain terms but cant guess them. lv bstrac Lack of sufficient parallel data for many languages and domains is currently one of the major obstacles to further advancement of auto mated translation The ACCURAT project is addressing this issue by researching methods how to improve mach Chapter . 8. CHAPTER TERMS AND CONCEPTS. Adjustment techniques. Assessment Roll. Bracketing. Buyer. ’. s motives. Central tendency. Comparable sale. Comparable sale search area. Competitive property. Recent Developments in Technological Tools for the Purpose of Facilitating SLA. What’s a Digital Corpus?. Def.: a collection or body of text/s. …so a digital corpus is a body of text/s which is accessible and searchable using computer software.. BootCaT. corpora: building and evaluating a corpus of academic course descriptions. BOTWU. BootCaTters of the world unite!. Erika Dalan (University of Bologna). Outline. Background. Methodology. Results. Ken Lau. Going from Prescriptive to Descriptive. Prescriptive grammar has their origins in 18. th. and 19. th. century Europe where grammar was connected to the idea that there was a relationship between ‘. than reading the comparable periodical on paper. It is this gap we are exploring. In this paper, we discuss the results of an in-depth observational study of reading and navigation and add to these th and . Comparator. Nuts and Bolts. Four methods underlie . Collection . types: . equals. , . compare. and . compareTo. , and . hashCode. N. eed . to ensure that these methods are defined . properly for your own objects. and parallel corpus generation. Ekansh. Gupta. Rohit. Gupta. Advantages of Neural Machine Translation Models. Require . only a fraction of the memory needed by traditional statistical machine translation (SMT) . Corpus design is intrinsic . and a . fundamental part of . the . analysis. .. It is guided by the RQ and affects the results.. Design criteria are interpretative and must be . explicit (why you chose the texts you did, how and why you . Paula MacDonald, NIC, M.S.. MRID Fall Conference 2014. Paula MacDonald. Degrees. A.A.S. Interpreting/Translation. B.A. “Multicultural Interpreting”. M.S. . . Interpreting with and emphasis in . Pedagogy. Student Writers as Corpus Users. (. H. yland 2003). Example:. Pérez-Paredes et al . 2013. Focus on form activities. It. -cleft sentences . Tracking . software. Example:. Tono. . et al . 2014. Coded error feedback. Mark Davies. Brigham Young University. Provo, Utah, USA. http://corpus.byu.edu. GDUFS / December 2014. Review of COCA. Grammar: must V, end up V-. ing. , get V-. ed. , try and V. Collocates: . break. The . Kucera. Server. What we are doing today. 2. Introducing the corpora. Searching the data. Sorting your data. Saving & Extracting. Manipulating your search data. 3. Available Corpora. A simple overview. Michael McCarthy. Outline. Is spoken academic English like or unlike conversational English? . Are there discipline-specific constraints?. Insights from corpus analysis. How might these influence EAP materials? .