Download e-book for kindle: Algorithms for computational linguistics by Striegnitz K., et al.

By Striegnitz K., et al.

The identify Computational Linguistics already means that this displine includes comparable items of study: usual language (NL) is studied and operational tools are constructed. either fields are investigated of their personal correct and divide into quite a few themes. This path introduces various NL phenomena including applicable implementations within the programming language Prolog. the subjects handled are between others Morphology, Finite kingdom concepts, Syntax, Context unfastened Grammars, Parsing, and Semantics development.

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Take for instance our laughing machine above. , using the loop from 2 to 3 and back. On our way through this loop we read ha (the second occurence, to be precise). And we can go through this loop any number of times. , hahahaha! etc. The above considerations lead to the following lemma, known as the ‘Pumping Lemma’, because it says that we can ‘pump’ up words in regular languages under certain conditions. (By wi we mean the result of repeating w i-times; w i ✞ ε. ): 42 Chapter 3. Regular Languages Let L be a regular set.

All we have to do is make a few additions according to the additional operator used in r. 2. Let’s go through the cases one by one. We assume that M 1 is an automaton for r1 , M2 corresponds to r2 , and that the states in M1 are disjoint from those in M2 (we can always achieve this by renaming): 1. Concatenation (r ✞ r1 r2 ): We construct an automaton M that consists of M 1 and M2 in series. That is, M will accept a word by running M 1 on the first part, then jumping to M2 and running it on the second part of the word.

2. It is not possible to write an FSA that generates/recognizes the formal language an bn . 3. It is not possible to write an FSA that generates/recognizes the formal language an bm . 4. We can generate more languages using non-deterministic finite automata than we can using deterministic finite automata. 5. A finite state transducer (FST) is essentially an FSA that works with 2 (or more) tapes. 2 Write an FST that transduces between strings of as (of length m), and strings consisting of a c, followed by m bs, followed by another c.

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Algorithms for computational linguistics by Striegnitz K., et al.

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