Refereed Publications
- Yukiko Sasaki Alam, “Algorithm for Identifying
the syntactic and Semantic Categories of Prepositions:
Case of Over,” in Proceedings of the International
Conference on Computing: Theory and Applications Platinum
Jubilee Conference, March 2007, pp. 434-440. Los Alamitos,
CA: IEEE Computer Society Press.
Abstract - This paper
proposes an algorithm for assigning the syntactic categories
of over, many uses of which are not used as prepositions.
The algorithm, enriched for the semantic capacity from
earlier studies, identifies four syntactic categories
of over and eleven meanings of the prepositional uses.
The ability of the algorithm was tested manually by using
five hundred instances of over from British National
Corpus. The results are encouraging, with over 95 percent
of the instances being correctly classified. This study,
while pointing to an ideal direction, will reveal many
important points to consider in natural language processing.
- Yukiko Sasaki Alam, “A Software System for Second-Language
Vocabulary Learning,” in Proceedings of the 7th IEEE
International Conference on Advanced Learning Technologies,
July 2007, pp. 130-132.
Abstract - The aim of
this paper is to introduce a software system for learning
English vocabulary. It is a multi-user and multi-platform
system, designed on effective learning principles and
available for use on the Internet. It provides graphical
displays of goals for the student to attain, and of the
results that have been achieved. It also offers the instructor
a simple means of preparing and editing exercises and
modifying them according to pedagogical needs. The system,
still at an evolutionary stage, was implemented for an
assignment in English courses at a Japanese university
for two semesters, and has proved to be an effective tool
in teaching second-language vocabulary while a rigorous
assessment remains to be made.
- Yukiko Sasaki Alam, “A Morpho-Syntactic Analyzer
of Controlled Japanese,” in Proceedings of Grammar
Engineering Across Frameworks (GEAF07) Workshop (in the
Series of CSLI Studies in Computational Linguistics ONLINE),
ed. by Tracy H. King and Emily M. Bender, pp. 306-318,
at
http://csli-publications.stanford.edu/GEAF/2007/geaf07.html
Abstract - The proposed
morpho-syntactic analyzer parses controlled Japanese texts
such as articles in newspapers, technical magazines and
professional journals and public documents that are transcribed
wherever applicable by using Joyo Kanji (frequently
used Chinese characters). The analyzer parses sentences
in controlled Japanese texts into morpho-syntactic units,
further dividing them into the content and the functional
parts, and assigning a functional role or roles to each
unit in the sentences. As the system is not equipped with
a dictionary, the parsing algorithm is based on the orthographic
characteristics of words and morphemes, and the role assignment
to each unit is based on the functional elements located
at the end of the unit, which is a feature of a Head-final
language like Japanese. The system is a light-weight rule-based
morpho-syntactic analyzer that could be a useful tool
for natural language processing. As the system identifies
syntactic units rather than individual morphemes, together
with the functional and/or syntactic roles of the units,
it would help a computational system understand the syntactic
and functional structures of sentences, and eventually
interpret the semantics of the sentences.
- Yukiko Sasaki Alam, “Analyzer to Identify Phrases
and the Functional Roles in Sentences: Its Architectural
Aspects,” in Proceedings of the 21st Pacific Asia
Conference on Language, Information and Communication
(PACLIN 21), November 2007, pp. 67-75.
Abstract - This paper
presents the architectural aspects of the phrase analyzer
that attempts to recognize phrases and identify the functional
roles in the sentences in formal Japanese documents. Since
the object of interest is a phrase, the current system,
designed in an object-oriented architecture, contains
the Phrase class, and makes use of the linguistic
generalization about languages with Case markers that
a phrase, whether a noun phrase, a verb phrase, a postposition
(or preposition) phrase or a clause phrase, can be separated
into the content and the function components. Without
a dictionary, and drawing on the orthographic information
on the words to parse, it also contains a class that identifies
the types of characters, a class representing grammar,
and a class playing the role of a controller. The system
has a simple and intuitive structure, externally and internally,
and therefore is easy to modify and extend.
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