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A system for generating teaching initiatives in a computeraided language learning dialogue

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Title: A system for generating teaching initiatives in a computeraided language learning dialogue


1
A system for generating teaching initiatives in a
computer-aided language learning dialogue
  • Nanda Slabbers
  • University of Twente
  • Netherlands

Alistair Knott University of Otago New Zealand
June 9, 2005 Nancy
2
Overview
  • Introduction
  • Existing work
  • Goals
  • Formal goals
  • Substantive goal
  • Te Kaitito
  • Authoring mode
  • Student mode
  • Conclusion
  • Questions

3
Introduction
  • A dialogue system has to create two different
    kinds of utterances
  • Responses not much content selection
  • Initiatives content selection is very important
  • It is common to analysethe task of
    naturallanguage generationas a pipeline

4
Existing Work
  • Existing systems which focus on generating
    initiatives
  • Used to accomplish a certain task.
  • The difference is that a language learning
    dialogue doesnt have to look like a tutorial
    dialogue.
  • Existing systems which focus on language
    learning
  • Most initiatives come from the student.
  • In such systems it is hard to learn by adapting
    utterances made by the teacher.

5
Goals of the Generated Initiatives
  • Content selection is the key process in
    generating initiatives.
  • The process of content selection is typically
    defined in relation to two goals
  • Formal goal creating a coherent text.
  • Substantive goal achieving a certain effect on
    the hearer (in our case teaching the student a
    number of syntactic rules).

6
Formal Goal - Possible Dialogue Acts
  • Dialogue coherence cannot be defined at the level
    of dialogue acts.
  • Therefore the system will only generate
    initiatives of the following dialogue acts
  • Assertions
  • Questions
  • Genuine questions
  • Teaching questions

7
Formal Goal Topic Continuity
  • We prefer initiatives which maintain the current
    topic of the dialogue
  • Topic of utterance set of individuals and
    predicates it introduces
  • Topic of dialogue combination of topics of last
    utterances
  • Topic continuity overlap between topic of
    dialogue and topic of possible initiative

8
Formal Goal Mix of Dialogue Acts
  • First we want to decide which dialogue act will
    be taken
  • Normally we decide this based on the topic
    continuity criterion.
  • If there are initiatives which score equally in
    the topic continuity criterion, we prefer those
    which belong to a dialogue act which has not been
    recently used.

9
Formal Goal Other Criteria
  • After we have decided which dialogue act will be
    taken, we have to compare the possible
    initiatives belonging to that dialogue act.
  • To achieve this we introduce three dialogue act
    specific criteria
  • Assertions strategy
  • Genuine questions order of creation
  • Teaching questions complexity

10
Substantive Goal Syntax Criterion
  • Every utterance is parsed and syntactic
    representations are created.
  • Using these representations a set of target
    syntactic rules can be created for each lesson.
  • Each lesson teaches a different set of rules,
    beginning with simple rules and progressing to
    more complex rules.
  • Using these rules initiatives which involve
    target rules can be preferred to other
    initiatives.

11
Formal and Substantive Goals - Initiative
Generation Algorithm
  • Our algorithm for generating initiatives has four
    steps
  • Identify a set of possible topics.
  • Generate a set of candidate initiatives.
  • Create a shortlist of initiatives by scoring and
    ranking them based on the criteria.
  • Assign a syntactic score and choose the
    initiative with the highest total score.

12
Te Kaitito
  • Te Kaitito is a bilingual dialogue system meant
    to teach the Maori language, but we will
    demonstrate the English version.
  • The system supports two modes
  • authoring mode to author new lessons.
  • student mode to practice the lesson and learn
    the target rules.

13
Authoring Mode
  • In authoring mode the user is assumed to be a
    teacher.
  • The teacher can author a character by
  • Telling facts about itself You are John
  • Entering question generation rules How is a
    person?
  • At the end the facts and questions are stored in
    two separate knowledge bases.
  • The set of target syntactic rules is created
    automatically.

14
Authoring Mode Example Dialogue
  • A Your name is John
  • TK Okay
  • A You are from Dunedin
  • TK Okay
  • A You are fine
  • TK Okay

A How is a person? TK Okay A What is a persons
name? TK Okay A Where is a person from? TK Okay
15
Student Mode Start of the Lesson
  • Start of the dialogue
  • Empty common ground
  • Load knowledge bases and set of rules
  • During the dialogue
  • Dialogue consists of pairs of forward-looking and
    backward-looking dialogue acts.
  • At transition relevant points the initiative is
    passed to the student, but he or she can concede
    the initiative to the system.

16
Student Mode Example Dialogue
  • S ltentergt
  • TK How are you?
  • S I am fine
  • TK Okay
  • S How are you?
  • TK I am fine
  • S ltentergt
  • TK What is your name?
  • S My name is Ann
  • TK Okay
  • S Who are you
  • TK I am John

S ltentergt TK Where are you from? S I am from
Dunedin TK Okay S ltentergt TK I am also from
Dunedin S ltentergt TK Lets see if you
remember Who am I? S You are John TK Correct,
well done!
17
Student mode End of the Lesson
  • The previous dialogue continues until the system
    has evidence that all target rules have been
    assimilated by the student
  • Each target syntactic rule has an assimilation
    score that is updated after an utterance.
  • When the score reaches a certain boundary value
    the associated rule has been assimilated.
  • When all rules reach the boundary value, the
    lesson ends successfully.
  • When the student does not learn the rule, even
    when a correct application of the rule is shown,
    the lesson may end unsuccessfully.

18
Conclusion
  • Te Kaititos teaching dialogues are useful to
    practice conversational skills.
  • The system only has a simple grammar, but since
    novice students also have a limited grammar, this
    is satisfactory.
  • Adding initiatives is also beneficial
  • When the student is lost, the dialogue can be
    continued by simply pressing the Enter key.
  • The initiatives provide models of well-formed
    sentences, so the student can modify these and
    try them out.

19
Questions
  • Are there any questions?
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