Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Self-Organizing Machine Translation: Example-Driven Induction of
  Transfer Functions   With the advent of faster computers, the notion of doing machine translation
from a huge stored database of translation examples is no longer unreasonable.
This paper describes an attempt to merge the Example-Based Machine Translation
(EBMT) approach with psycholinguistic principles. A new formalism for context-
free grammars, called *marker-normal form*, is demonstrated and used to
describe language data in a way compatible with psycholinguistic theories. By
embedding this formalism in a standard multivariate optimization framework, a
system can be built that infers correct transfer functions for a set of
bilingual sentence pairs and then uses those functions to translate novel
sentences. The validity of this line of reasoning has been tested in the
development of a system called METLA-1. This system has been used to infer
English->French and English->Urdu transfer functions from small corpora. The
results of those experiments are examined, both in engineering terms as well as
in more linguistic terms. In general, the results of these experiments were
psycho- logically and linguistically well-grounded while still achieving a
respectable level of success when compared against a similar prototype using
Hidden Markov Models.

18
The categories of this paper are: econ
2
The categories of this paper are: math
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
19
The categories of this paper are: eess
35
The categories of this paper are: mtrl-th
16
The categories of this paper are: stat