Thomas' Work Space

1. View screens (best viewed side by side, but note that left and right screen are not synchronized):
   1. for full slide show (note the included short links for convenient further reading), left screen
   2. for Sanako interface and full audio track, right screen.
2. Table of contents:
   1. Overview of a Sanako Oral Exam
   2. Examples of Exam teachers’ exam question recordings
   3. Example of a Sanako Exam
   4. Loop induction
   1. creating an exam question recording
   2. by taking a Sanako exam as a student
   5. Step-by-Step of administering a Sanako oral exam
   6. Grading Sanako oral exam student files
      1. Sanako voice insert for
         1. facilitating recording oral assignments for student without hard-coded pauses
         2. commenting on student responses during grading
   7. Sanako authoring tool for providing visual on top of aural cues to students
3. 

1. Support for more languages is planned (Chinese, Japanese):
2. 
3. The interesting approach based on parallel corpora provides a wealth of empirical data, albeit a bit raw  and of varying quality, e.g.:
4. 

The Foreign Service Institute language learning materials  – consisting of scanned documents and digitized audio of multiple courses per language – were still a heavily-advertised resource when I visited the Defense Language Institute in Monterey in 2006.

It is nice to see these resources be made available for free. It is also nice to see the progress that has been made not only in technological adaptation of textbook learning materials since these materials were made available (post WW II?).

This, however, comes at a cost. If you shun it, and do not take a course that works which requires (and entitles you to the use of) a textbook, here are easily accessibleviewable learning materials for a large set of languages, including many LCTL: Amharic, Arabic, Bulgarian, Cambodian, Cantonese, Chinese, Chinyanja, Czech, Finnish, French, Fula, German, Greek, Hausa, Hebrew, Hindi, Hungarian, Igbo, Italian, Japanese, Kirundi, Kituba, Korean, Lao, Lingala, Luganda, Moré, Polish, Portuguese, Romanian, Russian, Serbo-Croatian, Shona, Sinhala, Spanish, Swahili, Swedish, Tagalog, Thai, Turkish, Twi, Vietnamese, Yoruba.

The Forums , however seem to indicate that not too many still use these options. The transformation into a (technologically superficially) more modern format here is limited to very few languages and courses (and crashed my web browser).

1. Eva Word Lookup – not listed under the extensions, but run against Wordnet, the lexical database for English – enables you to study your English words in depth. This lookup gives you information organized by the following aspects of your word, linked from  an overview of each word type your search term can belong  to:
1. the coordinate terms (sisters)
2. the derived forms
3. the synonyms/hypernyms (ordered by estimated frequency)
4. the hyponyms (troponyms for verbs)
5. the holonyms, for nouns
6. the meronyms, for nouns
7. sample sentences, for verbs
2. Below is what results look like for example search term “design”:

1. Furigana uses Kana (usually Hiragana) to phonetically transcribe Kanji, above (for horizontally written Kanji) or to the right (if in vertical writing mode), for special characters or audiences (children and second language learners).
2. In MS-Office, if you have a Japanese Input Method Editor selected in MS-Windows, select some Kanji and in the ribbon, under tab: home, section: font; click on the Phonetic guide, to bring up a dialogue that attempts to auto detect the furigana.
3. You can make adjustments there, click “OK “to insert. Like so:
4. 

Go to  Google translate and do like so. Useful for learning, as well as typing when teaching.

1. Wish my Latin teacher at home would have had such a nice tool when he analyzed the “Ante mare et terras et quod tegit omnia caelum / unus erat toto naturae vultus in orbe / quem dixere chaos”, he had only me:
2. 
3. Now how could such exercise creation made more automated by having it accept the output of NLP tools like Treetagger?